Training in progress, epoch 0, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +6 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +20 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +52 -0
- last-checkpoint/trainer_state.json +2274 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: unsloth/Qwen2-1.5B
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "unsloth/Qwen2-1.5B",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 32,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"gate_proj",
|
24 |
+
"down_proj",
|
25 |
+
"up_proj",
|
26 |
+
"k_proj",
|
27 |
+
"o_proj",
|
28 |
+
"q_proj",
|
29 |
+
"v_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:956a775cce4e0817fb05c3e94c008317fe45239e2ad939de2b12820a1a131f37
|
3 |
+
size 147770496
|
last-checkpoint/added_tokens.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|PAD_TOKEN|>": 151646,
|
3 |
+
"<|endoftext|>": 151643,
|
4 |
+
"<|im_end|>": 151645,
|
5 |
+
"<|im_start|>": 151644
|
6 |
+
}
|
last-checkpoint/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:972424a27200b020b492e1670c33c87369045956814394ab7be7a11c878882ab
|
3 |
+
size 295765866
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:131b04e6fa924334fcbdbeb4e0417e3f97f0f4272108e20020154aa15c726f16
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f6330992f3d79b7069f5bdf0d2b0e9f69d09b4b6de394987f5fc463a70456f18
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>"
|
5 |
+
],
|
6 |
+
"eos_token": {
|
7 |
+
"content": "<|endoftext|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false
|
12 |
+
},
|
13 |
+
"pad_token": {
|
14 |
+
"content": "<|PAD_TOKEN|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false
|
19 |
+
}
|
20 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9479047c22047670077878de944c696032b1a81049beeb6e99fbda7fb93e395a
|
3 |
+
size 11418456
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"151646": {
|
29 |
+
"content": "<|PAD_TOKEN|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
}
|
36 |
+
},
|
37 |
+
"additional_special_tokens": [
|
38 |
+
"<|im_start|>",
|
39 |
+
"<|im_end|>"
|
40 |
+
],
|
41 |
+
"bos_token": null,
|
42 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
43 |
+
"clean_up_tokenization_spaces": false,
|
44 |
+
"eos_token": "<|endoftext|>",
|
45 |
+
"errors": "replace",
|
46 |
+
"model_max_length": 32768,
|
47 |
+
"pad_token": "<|PAD_TOKEN|>",
|
48 |
+
"padding_side": "left",
|
49 |
+
"split_special_tokens": false,
|
50 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
51 |
+
"unk_token": null
|
52 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,2274 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9984350547730829,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 319,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.003129890453834116,
|
13 |
+
"grad_norm": NaN,
|
14 |
+
"learning_rate": 1e-05,
|
15 |
+
"loss": 0.0,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.006259780907668232,
|
20 |
+
"grad_norm": NaN,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.0,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.009389671361502348,
|
27 |
+
"grad_norm": NaN,
|
28 |
+
"learning_rate": 3e-05,
|
29 |
+
"loss": 0.0,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.012519561815336464,
|
34 |
+
"grad_norm": NaN,
|
35 |
+
"learning_rate": 4e-05,
|
36 |
+
"loss": 0.0,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.01564945226917058,
|
41 |
+
"grad_norm": NaN,
|
42 |
+
"learning_rate": 5e-05,
|
43 |
+
"loss": 0.0,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.018779342723004695,
|
48 |
+
"grad_norm": NaN,
|
49 |
+
"learning_rate": 6e-05,
|
50 |
+
"loss": 0.0,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02190923317683881,
|
55 |
+
"grad_norm": NaN,
|
56 |
+
"learning_rate": 7e-05,
|
57 |
+
"loss": 0.0,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.025039123630672927,
|
62 |
+
"grad_norm": NaN,
|
63 |
+
"learning_rate": 8e-05,
|
64 |
+
"loss": 0.0,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.028169014084507043,
|
69 |
+
"grad_norm": NaN,
|
70 |
+
"learning_rate": 9e-05,
|
71 |
+
"loss": 0.0,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.03129890453834116,
|
76 |
+
"grad_norm": NaN,
|
77 |
+
"learning_rate": 0.0001,
|
78 |
+
"loss": 0.0,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.03442879499217527,
|
83 |
+
"grad_norm": NaN,
|
84 |
+
"learning_rate": 9.999972486908167e-05,
|
85 |
+
"loss": 0.0,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.03755868544600939,
|
90 |
+
"grad_norm": NaN,
|
91 |
+
"learning_rate": 9.999889947935455e-05,
|
92 |
+
"loss": 0.0,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.0406885758998435,
|
97 |
+
"grad_norm": NaN,
|
98 |
+
"learning_rate": 9.999752383990224e-05,
|
99 |
+
"loss": 0.0,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.04381846635367762,
|
104 |
+
"grad_norm": NaN,
|
105 |
+
"learning_rate": 9.999559796586399e-05,
|
106 |
+
"loss": 0.0,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.046948356807511735,
|
111 |
+
"grad_norm": NaN,
|
112 |
+
"learning_rate": 9.99931218784345e-05,
|
113 |
+
"loss": 0.0,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.050078247261345854,
|
118 |
+
"grad_norm": NaN,
|
119 |
+
"learning_rate": 9.99900956048637e-05,
|
120 |
+
"loss": 0.0,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.053208137715179966,
|
125 |
+
"grad_norm": NaN,
|
126 |
+
"learning_rate": 9.998651917845645e-05,
|
127 |
+
"loss": 0.0,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.056338028169014086,
|
132 |
+
"grad_norm": NaN,
|
133 |
+
"learning_rate": 9.998239263857216e-05,
|
134 |
+
"loss": 0.0,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.0594679186228482,
|
139 |
+
"grad_norm": NaN,
|
140 |
+
"learning_rate": 9.997771603062438e-05,
|
141 |
+
"loss": 0.0,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.06259780907668232,
|
146 |
+
"grad_norm": NaN,
|
147 |
+
"learning_rate": 9.997248940608029e-05,
|
148 |
+
"loss": 0.0,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.06572769953051644,
|
153 |
+
"grad_norm": NaN,
|
154 |
+
"learning_rate": 9.99667128224601e-05,
|
155 |
+
"loss": 0.0,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.06885758998435054,
|
160 |
+
"grad_norm": NaN,
|
161 |
+
"learning_rate": 9.996038634333654e-05,
|
162 |
+
"loss": 0.0,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.07198748043818466,
|
167 |
+
"grad_norm": NaN,
|
168 |
+
"learning_rate": 9.995351003833398e-05,
|
169 |
+
"loss": 0.0,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.07511737089201878,
|
174 |
+
"grad_norm": NaN,
|
175 |
+
"learning_rate": 9.994608398312777e-05,
|
176 |
+
"loss": 0.0,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.0782472613458529,
|
181 |
+
"grad_norm": NaN,
|
182 |
+
"learning_rate": 9.993810825944343e-05,
|
183 |
+
"loss": 0.0,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.081377151799687,
|
188 |
+
"grad_norm": NaN,
|
189 |
+
"learning_rate": 9.992958295505567e-05,
|
190 |
+
"loss": 0.0,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.08450704225352113,
|
195 |
+
"grad_norm": NaN,
|
196 |
+
"learning_rate": 9.992050816378749e-05,
|
197 |
+
"loss": 0.0,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.08763693270735524,
|
202 |
+
"grad_norm": NaN,
|
203 |
+
"learning_rate": 9.991088398550913e-05,
|
204 |
+
"loss": 0.0,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.09076682316118936,
|
209 |
+
"grad_norm": NaN,
|
210 |
+
"learning_rate": 9.990071052613693e-05,
|
211 |
+
"loss": 0.0,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.09389671361502347,
|
216 |
+
"grad_norm": NaN,
|
217 |
+
"learning_rate": 9.988998789763222e-05,
|
218 |
+
"loss": 0.0,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.09702660406885759,
|
223 |
+
"grad_norm": NaN,
|
224 |
+
"learning_rate": 9.987871621800006e-05,
|
225 |
+
"loss": 0.0,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.10015649452269171,
|
230 |
+
"grad_norm": NaN,
|
231 |
+
"learning_rate": 9.986689561128798e-05,
|
232 |
+
"loss": 0.0,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.10328638497652583,
|
237 |
+
"grad_norm": NaN,
|
238 |
+
"learning_rate": 9.985452620758453e-05,
|
239 |
+
"loss": 0.0,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.10641627543035993,
|
244 |
+
"grad_norm": NaN,
|
245 |
+
"learning_rate": 9.984160814301794e-05,
|
246 |
+
"loss": 0.0,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.10954616588419405,
|
251 |
+
"grad_norm": NaN,
|
252 |
+
"learning_rate": 9.982814155975455e-05,
|
253 |
+
"loss": 0.0,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.11267605633802817,
|
258 |
+
"grad_norm": NaN,
|
259 |
+
"learning_rate": 9.981412660599732e-05,
|
260 |
+
"loss": 0.0,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.11580594679186229,
|
265 |
+
"grad_norm": NaN,
|
266 |
+
"learning_rate": 9.979956343598413e-05,
|
267 |
+
"loss": 0.0,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.1189358372456964,
|
272 |
+
"grad_norm": NaN,
|
273 |
+
"learning_rate": 9.97844522099861e-05,
|
274 |
+
"loss": 0.0,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.12206572769953052,
|
279 |
+
"grad_norm": NaN,
|
280 |
+
"learning_rate": 9.976879309430586e-05,
|
281 |
+
"loss": 0.0,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.12519561815336464,
|
286 |
+
"grad_norm": NaN,
|
287 |
+
"learning_rate": 9.975258626127568e-05,
|
288 |
+
"loss": 0.0,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.12832550860719874,
|
293 |
+
"grad_norm": NaN,
|
294 |
+
"learning_rate": 9.97358318892556e-05,
|
295 |
+
"loss": 0.0,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.13145539906103287,
|
300 |
+
"grad_norm": NaN,
|
301 |
+
"learning_rate": 9.971853016263143e-05,
|
302 |
+
"loss": 0.0,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.13458528951486698,
|
307 |
+
"grad_norm": NaN,
|
308 |
+
"learning_rate": 9.97006812718128e-05,
|
309 |
+
"loss": 0.0,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.13771517996870108,
|
314 |
+
"grad_norm": NaN,
|
315 |
+
"learning_rate": 9.968228541323094e-05,
|
316 |
+
"loss": 0.0,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.14084507042253522,
|
321 |
+
"grad_norm": NaN,
|
322 |
+
"learning_rate": 9.96633427893367e-05,
|
323 |
+
"loss": 0.0,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.14397496087636932,
|
328 |
+
"grad_norm": NaN,
|
329 |
+
"learning_rate": 9.964385360859805e-05,
|
330 |
+
"loss": 0.0,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.14710485133020346,
|
335 |
+
"grad_norm": NaN,
|
336 |
+
"learning_rate": 9.962381808549807e-05,
|
337 |
+
"loss": 0.0,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.15023474178403756,
|
342 |
+
"grad_norm": NaN,
|
343 |
+
"learning_rate": 9.960323644053248e-05,
|
344 |
+
"loss": 0.0,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.15336463223787167,
|
349 |
+
"grad_norm": NaN,
|
350 |
+
"learning_rate": 9.95821089002071e-05,
|
351 |
+
"loss": 0.0,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.1564945226917058,
|
356 |
+
"grad_norm": NaN,
|
357 |
+
"learning_rate": 9.956043569703553e-05,
|
358 |
+
"loss": 0.0,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.1596244131455399,
|
363 |
+
"grad_norm": NaN,
|
364 |
+
"learning_rate": 9.953821706953651e-05,
|
365 |
+
"loss": 0.0,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.162754303599374,
|
370 |
+
"grad_norm": NaN,
|
371 |
+
"learning_rate": 9.951545326223128e-05,
|
372 |
+
"loss": 0.0,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.16588419405320814,
|
377 |
+
"grad_norm": NaN,
|
378 |
+
"learning_rate": 9.949214452564096e-05,
|
379 |
+
"loss": 0.0,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.16901408450704225,
|
384 |
+
"grad_norm": NaN,
|
385 |
+
"learning_rate": 9.946829111628367e-05,
|
386 |
+
"loss": 0.0,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.17214397496087636,
|
391 |
+
"grad_norm": NaN,
|
392 |
+
"learning_rate": 9.944389329667187e-05,
|
393 |
+
"loss": 0.0,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.1752738654147105,
|
398 |
+
"grad_norm": NaN,
|
399 |
+
"learning_rate": 9.941895133530929e-05,
|
400 |
+
"loss": 0.0,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.1784037558685446,
|
405 |
+
"grad_norm": NaN,
|
406 |
+
"learning_rate": 9.939346550668817e-05,
|
407 |
+
"loss": 0.0,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.18153364632237873,
|
412 |
+
"grad_norm": NaN,
|
413 |
+
"learning_rate": 9.936743609128607e-05,
|
414 |
+
"loss": 0.0,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.18466353677621283,
|
419 |
+
"grad_norm": NaN,
|
420 |
+
"learning_rate": 9.934086337556285e-05,
|
421 |
+
"loss": 0.0,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.18779342723004694,
|
426 |
+
"grad_norm": NaN,
|
427 |
+
"learning_rate": 9.931374765195756e-05,
|
428 |
+
"loss": 0.0,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.19092331768388107,
|
433 |
+
"grad_norm": NaN,
|
434 |
+
"learning_rate": 9.928608921888514e-05,
|
435 |
+
"loss": 0.0,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.19405320813771518,
|
440 |
+
"grad_norm": NaN,
|
441 |
+
"learning_rate": 9.925788838073322e-05,
|
442 |
+
"loss": 0.0,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.19718309859154928,
|
447 |
+
"grad_norm": NaN,
|
448 |
+
"learning_rate": 9.922914544785867e-05,
|
449 |
+
"loss": 0.0,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.20031298904538342,
|
454 |
+
"grad_norm": NaN,
|
455 |
+
"learning_rate": 9.919986073658429e-05,
|
456 |
+
"loss": 0.0,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.20344287949921752,
|
461 |
+
"grad_norm": NaN,
|
462 |
+
"learning_rate": 9.917003456919524e-05,
|
463 |
+
"loss": 0.0,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.20657276995305165,
|
468 |
+
"grad_norm": NaN,
|
469 |
+
"learning_rate": 9.913966727393558e-05,
|
470 |
+
"loss": 0.0,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.20970266040688576,
|
475 |
+
"grad_norm": NaN,
|
476 |
+
"learning_rate": 9.910875918500456e-05,
|
477 |
+
"loss": 0.0,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.21283255086071987,
|
482 |
+
"grad_norm": NaN,
|
483 |
+
"learning_rate": 9.907731064255304e-05,
|
484 |
+
"loss": 0.0,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.215962441314554,
|
489 |
+
"grad_norm": NaN,
|
490 |
+
"learning_rate": 9.904532199267966e-05,
|
491 |
+
"loss": 0.0,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.2190923317683881,
|
496 |
+
"grad_norm": NaN,
|
497 |
+
"learning_rate": 9.901279358742706e-05,
|
498 |
+
"loss": 0.0,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.2222222222222222,
|
503 |
+
"grad_norm": NaN,
|
504 |
+
"learning_rate": 9.897972578477809e-05,
|
505 |
+
"loss": 0.0,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.22535211267605634,
|
510 |
+
"grad_norm": NaN,
|
511 |
+
"learning_rate": 9.894611894865171e-05,
|
512 |
+
"loss": 0.0,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.22848200312989045,
|
517 |
+
"grad_norm": NaN,
|
518 |
+
"learning_rate": 9.891197344889913e-05,
|
519 |
+
"loss": 0.0,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.23161189358372458,
|
524 |
+
"grad_norm": NaN,
|
525 |
+
"learning_rate": 9.887728966129963e-05,
|
526 |
+
"loss": 0.0,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.2347417840375587,
|
531 |
+
"grad_norm": NaN,
|
532 |
+
"learning_rate": 9.884206796755654e-05,
|
533 |
+
"loss": 0.0,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.2378716744913928,
|
538 |
+
"grad_norm": NaN,
|
539 |
+
"learning_rate": 9.880630875529291e-05,
|
540 |
+
"loss": 0.0,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.24100156494522693,
|
545 |
+
"grad_norm": NaN,
|
546 |
+
"learning_rate": 9.877001241804735e-05,
|
547 |
+
"loss": 0.0,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.24413145539906103,
|
552 |
+
"grad_norm": NaN,
|
553 |
+
"learning_rate": 9.873317935526963e-05,
|
554 |
+
"loss": 0.0,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.24726134585289514,
|
559 |
+
"grad_norm": NaN,
|
560 |
+
"learning_rate": 9.869580997231634e-05,
|
561 |
+
"loss": 0.0,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.25039123630672927,
|
566 |
+
"grad_norm": NaN,
|
567 |
+
"learning_rate": 9.865790468044637e-05,
|
568 |
+
"loss": 0.0,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.2535211267605634,
|
573 |
+
"grad_norm": NaN,
|
574 |
+
"learning_rate": 9.861946389681645e-05,
|
575 |
+
"loss": 0.0,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.2566510172143975,
|
580 |
+
"grad_norm": NaN,
|
581 |
+
"learning_rate": 9.85804880444765e-05,
|
582 |
+
"loss": 0.0,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.2597809076682316,
|
587 |
+
"grad_norm": NaN,
|
588 |
+
"learning_rate": 9.854097755236499e-05,
|
589 |
+
"loss": 0.0,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.26291079812206575,
|
594 |
+
"grad_norm": NaN,
|
595 |
+
"learning_rate": 9.850093285530424e-05,
|
596 |
+
"loss": 0.0,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.26604068857589985,
|
601 |
+
"grad_norm": NaN,
|
602 |
+
"learning_rate": 9.846035439399564e-05,
|
603 |
+
"loss": 0.0,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.26917057902973396,
|
608 |
+
"grad_norm": NaN,
|
609 |
+
"learning_rate": 9.841924261501474e-05,
|
610 |
+
"loss": 0.0,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.27230046948356806,
|
615 |
+
"grad_norm": NaN,
|
616 |
+
"learning_rate": 9.837759797080641e-05,
|
617 |
+
"loss": 0.0,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.27543035993740217,
|
622 |
+
"grad_norm": NaN,
|
623 |
+
"learning_rate": 9.833542091967982e-05,
|
624 |
+
"loss": 0.0,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.27856025039123633,
|
629 |
+
"grad_norm": NaN,
|
630 |
+
"learning_rate": 9.82927119258034e-05,
|
631 |
+
"loss": 0.0,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.28169014084507044,
|
636 |
+
"grad_norm": NaN,
|
637 |
+
"learning_rate": 9.824947145919974e-05,
|
638 |
+
"loss": 0.0,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.28482003129890454,
|
643 |
+
"grad_norm": NaN,
|
644 |
+
"learning_rate": 9.820569999574041e-05,
|
645 |
+
"loss": 0.0,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.28794992175273865,
|
650 |
+
"grad_norm": NaN,
|
651 |
+
"learning_rate": 9.816139801714073e-05,
|
652 |
+
"loss": 0.0,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.29107981220657275,
|
657 |
+
"grad_norm": NaN,
|
658 |
+
"learning_rate": 9.811656601095446e-05,
|
659 |
+
"loss": 0.0,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.2942097026604069,
|
664 |
+
"grad_norm": NaN,
|
665 |
+
"learning_rate": 9.807120447056844e-05,
|
666 |
+
"loss": 0.0,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.297339593114241,
|
671 |
+
"grad_norm": NaN,
|
672 |
+
"learning_rate": 9.802531389519716e-05,
|
673 |
+
"loss": 0.0,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.3004694835680751,
|
678 |
+
"grad_norm": NaN,
|
679 |
+
"learning_rate": 9.797889478987727e-05,
|
680 |
+
"loss": 0.0,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.30359937402190923,
|
685 |
+
"grad_norm": NaN,
|
686 |
+
"learning_rate": 9.793194766546201e-05,
|
687 |
+
"loss": 0.0,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.30672926447574334,
|
692 |
+
"grad_norm": NaN,
|
693 |
+
"learning_rate": 9.78844730386156e-05,
|
694 |
+
"loss": 0.0,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.30985915492957744,
|
699 |
+
"grad_norm": NaN,
|
700 |
+
"learning_rate": 9.783647143180754e-05,
|
701 |
+
"loss": 0.0,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.3129890453834116,
|
706 |
+
"grad_norm": NaN,
|
707 |
+
"learning_rate": 9.77879433733069e-05,
|
708 |
+
"loss": 0.0,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.3161189358372457,
|
713 |
+
"grad_norm": NaN,
|
714 |
+
"learning_rate": 9.773888939717641e-05,
|
715 |
+
"loss": 0.0,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.3192488262910798,
|
720 |
+
"grad_norm": NaN,
|
721 |
+
"learning_rate": 9.768931004326674e-05,
|
722 |
+
"loss": 0.0,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.3223787167449139,
|
727 |
+
"grad_norm": NaN,
|
728 |
+
"learning_rate": 9.763920585721037e-05,
|
729 |
+
"loss": 0.0,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.325508607198748,
|
734 |
+
"grad_norm": NaN,
|
735 |
+
"learning_rate": 9.758857739041575e-05,
|
736 |
+
"loss": 0.0,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.3286384976525822,
|
741 |
+
"grad_norm": NaN,
|
742 |
+
"learning_rate": 9.753742520006117e-05,
|
743 |
+
"loss": 0.0,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.3317683881064163,
|
748 |
+
"grad_norm": NaN,
|
749 |
+
"learning_rate": 9.748574984908854e-05,
|
750 |
+
"loss": 0.0,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.3348982785602504,
|
755 |
+
"grad_norm": NaN,
|
756 |
+
"learning_rate": 9.743355190619737e-05,
|
757 |
+
"loss": 0.0,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.3380281690140845,
|
762 |
+
"grad_norm": NaN,
|
763 |
+
"learning_rate": 9.738083194583836e-05,
|
764 |
+
"loss": 0.0,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.3411580594679186,
|
769 |
+
"grad_norm": NaN,
|
770 |
+
"learning_rate": 9.732759054820718e-05,
|
771 |
+
"loss": 0.0,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.3442879499217527,
|
776 |
+
"grad_norm": NaN,
|
777 |
+
"learning_rate": 9.727382829923797e-05,
|
778 |
+
"loss": 0.0,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.3474178403755869,
|
783 |
+
"grad_norm": NaN,
|
784 |
+
"learning_rate": 9.721954579059705e-05,
|
785 |
+
"loss": 0.0,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.350547730829421,
|
790 |
+
"grad_norm": NaN,
|
791 |
+
"learning_rate": 9.716474361967625e-05,
|
792 |
+
"loss": 0.0,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.3536776212832551,
|
797 |
+
"grad_norm": NaN,
|
798 |
+
"learning_rate": 9.710942238958645e-05,
|
799 |
+
"loss": 0.0,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.3568075117370892,
|
804 |
+
"grad_norm": NaN,
|
805 |
+
"learning_rate": 9.705358270915086e-05,
|
806 |
+
"loss": 0.0,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.3599374021909233,
|
811 |
+
"grad_norm": NaN,
|
812 |
+
"learning_rate": 9.699722519289843e-05,
|
813 |
+
"loss": 0.0,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.36306729264475746,
|
818 |
+
"grad_norm": NaN,
|
819 |
+
"learning_rate": 9.694035046105693e-05,
|
820 |
+
"loss": 0.0,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.36619718309859156,
|
825 |
+
"grad_norm": NaN,
|
826 |
+
"learning_rate": 9.688295913954625e-05,
|
827 |
+
"loss": 0.0,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.36932707355242567,
|
832 |
+
"grad_norm": NaN,
|
833 |
+
"learning_rate": 9.68250518599715e-05,
|
834 |
+
"loss": 0.0,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.37245696400625977,
|
839 |
+
"grad_norm": NaN,
|
840 |
+
"learning_rate": 9.676662925961595e-05,
|
841 |
+
"loss": 0.0,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.3755868544600939,
|
846 |
+
"grad_norm": NaN,
|
847 |
+
"learning_rate": 9.670769198143418e-05,
|
848 |
+
"loss": 0.0,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.37871674491392804,
|
853 |
+
"grad_norm": NaN,
|
854 |
+
"learning_rate": 9.66482406740449e-05,
|
855 |
+
"loss": 0.0,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.38184663536776214,
|
860 |
+
"grad_norm": NaN,
|
861 |
+
"learning_rate": 9.65882759917238e-05,
|
862 |
+
"loss": 0.0,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.38497652582159625,
|
867 |
+
"grad_norm": NaN,
|
868 |
+
"learning_rate": 9.65277985943964e-05,
|
869 |
+
"loss": 0.0,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.38810641627543035,
|
874 |
+
"grad_norm": NaN,
|
875 |
+
"learning_rate": 9.64668091476308e-05,
|
876 |
+
"loss": 0.0,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.39123630672926446,
|
881 |
+
"grad_norm": NaN,
|
882 |
+
"learning_rate": 9.640530832263027e-05,
|
883 |
+
"loss": 0.0,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.39436619718309857,
|
888 |
+
"grad_norm": NaN,
|
889 |
+
"learning_rate": 9.634329679622598e-05,
|
890 |
+
"loss": 0.0,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.3974960876369327,
|
895 |
+
"grad_norm": NaN,
|
896 |
+
"learning_rate": 9.628077525086942e-05,
|
897 |
+
"loss": 0.0,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.40062597809076683,
|
902 |
+
"grad_norm": NaN,
|
903 |
+
"learning_rate": 9.621774437462503e-05,
|
904 |
+
"loss": 0.0,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.40375586854460094,
|
909 |
+
"grad_norm": NaN,
|
910 |
+
"learning_rate": 9.615420486116251e-05,
|
911 |
+
"loss": 0.0,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.40688575899843504,
|
916 |
+
"grad_norm": NaN,
|
917 |
+
"learning_rate": 9.609015740974925e-05,
|
918 |
+
"loss": 0.0,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.41001564945226915,
|
923 |
+
"grad_norm": NaN,
|
924 |
+
"learning_rate": 9.602560272524263e-05,
|
925 |
+
"loss": 0.0,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.4131455399061033,
|
930 |
+
"grad_norm": NaN,
|
931 |
+
"learning_rate": 9.596054151808222e-05,
|
932 |
+
"loss": 0.0,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.4162754303599374,
|
937 |
+
"grad_norm": NaN,
|
938 |
+
"learning_rate": 9.5894974504282e-05,
|
939 |
+
"loss": 0.0,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.4194053208137715,
|
944 |
+
"grad_norm": NaN,
|
945 |
+
"learning_rate": 9.582890240542249e-05,
|
946 |
+
"loss": 0.0,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.4225352112676056,
|
951 |
+
"grad_norm": NaN,
|
952 |
+
"learning_rate": 9.576232594864277e-05,
|
953 |
+
"loss": 0.0,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.42566510172143973,
|
958 |
+
"grad_norm": NaN,
|
959 |
+
"learning_rate": 9.569524586663253e-05,
|
960 |
+
"loss": 0.0,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.4287949921752739,
|
965 |
+
"grad_norm": NaN,
|
966 |
+
"learning_rate": 9.562766289762392e-05,
|
967 |
+
"loss": 0.0,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.431924882629108,
|
972 |
+
"grad_norm": NaN,
|
973 |
+
"learning_rate": 9.555957778538354e-05,
|
974 |
+
"loss": 0.0,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.4350547730829421,
|
979 |
+
"grad_norm": NaN,
|
980 |
+
"learning_rate": 9.549099127920414e-05,
|
981 |
+
"loss": 0.0,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.4381846635367762,
|
986 |
+
"grad_norm": NaN,
|
987 |
+
"learning_rate": 9.542190413389649e-05,
|
988 |
+
"loss": 0.0,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.4413145539906103,
|
993 |
+
"grad_norm": NaN,
|
994 |
+
"learning_rate": 9.535231710978097e-05,
|
995 |
+
"loss": 0.0,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.4444444444444444,
|
1000 |
+
"grad_norm": NaN,
|
1001 |
+
"learning_rate": 9.528223097267924e-05,
|
1002 |
+
"loss": 0.0,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.4475743348982786,
|
1007 |
+
"grad_norm": NaN,
|
1008 |
+
"learning_rate": 9.521164649390585e-05,
|
1009 |
+
"loss": 0.0,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.4507042253521127,
|
1014 |
+
"grad_norm": NaN,
|
1015 |
+
"learning_rate": 9.514056445025967e-05,
|
1016 |
+
"loss": 0.0,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.4538341158059468,
|
1021 |
+
"grad_norm": NaN,
|
1022 |
+
"learning_rate": 9.506898562401545e-05,
|
1023 |
+
"loss": 0.0,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.4569640062597809,
|
1028 |
+
"grad_norm": NaN,
|
1029 |
+
"learning_rate": 9.499691080291511e-05,
|
1030 |
+
"loss": 0.0,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.460093896713615,
|
1035 |
+
"grad_norm": NaN,
|
1036 |
+
"learning_rate": 9.492434078015911e-05,
|
1037 |
+
"loss": 0.0,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.46322378716744916,
|
1042 |
+
"grad_norm": NaN,
|
1043 |
+
"learning_rate": 9.485127635439772e-05,
|
1044 |
+
"loss": 0.0,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.46635367762128327,
|
1049 |
+
"grad_norm": NaN,
|
1050 |
+
"learning_rate": 9.477771832972226e-05,
|
1051 |
+
"loss": 0.0,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.4694835680751174,
|
1056 |
+
"grad_norm": NaN,
|
1057 |
+
"learning_rate": 9.47036675156562e-05,
|
1058 |
+
"loss": 0.0,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.4726134585289515,
|
1063 |
+
"grad_norm": NaN,
|
1064 |
+
"learning_rate": 9.462912472714627e-05,
|
1065 |
+
"loss": 0.0,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.4757433489827856,
|
1070 |
+
"grad_norm": NaN,
|
1071 |
+
"learning_rate": 9.455409078455353e-05,
|
1072 |
+
"loss": 0.0,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.4788732394366197,
|
1077 |
+
"grad_norm": NaN,
|
1078 |
+
"learning_rate": 9.447856651364426e-05,
|
1079 |
+
"loss": 0.0,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.48200312989045385,
|
1084 |
+
"grad_norm": NaN,
|
1085 |
+
"learning_rate": 9.440255274558094e-05,
|
1086 |
+
"loss": 0.0,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.48513302034428796,
|
1091 |
+
"grad_norm": NaN,
|
1092 |
+
"learning_rate": 9.432605031691309e-05,
|
1093 |
+
"loss": 0.0,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.48826291079812206,
|
1098 |
+
"grad_norm": NaN,
|
1099 |
+
"learning_rate": 9.424906006956805e-05,
|
1100 |
+
"loss": 0.0,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.49139280125195617,
|
1105 |
+
"grad_norm": NaN,
|
1106 |
+
"learning_rate": 9.41715828508417e-05,
|
1107 |
+
"loss": 0.0,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.4945226917057903,
|
1112 |
+
"grad_norm": NaN,
|
1113 |
+
"learning_rate": 9.40936195133892e-05,
|
1114 |
+
"loss": 0.0,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.49765258215962443,
|
1119 |
+
"grad_norm": NaN,
|
1120 |
+
"learning_rate": 9.401517091521553e-05,
|
1121 |
+
"loss": 0.0,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.5007824726134585,
|
1126 |
+
"grad_norm": NaN,
|
1127 |
+
"learning_rate": 9.393623791966607e-05,
|
1128 |
+
"loss": 0.0,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.5039123630672926,
|
1133 |
+
"grad_norm": NaN,
|
1134 |
+
"learning_rate": 9.385682139541713e-05,
|
1135 |
+
"loss": 0.0,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.5070422535211268,
|
1140 |
+
"grad_norm": NaN,
|
1141 |
+
"learning_rate": 9.377692221646635e-05,
|
1142 |
+
"loss": 0.0,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.5101721439749609,
|
1147 |
+
"grad_norm": NaN,
|
1148 |
+
"learning_rate": 9.369654126212313e-05,
|
1149 |
+
"loss": 0.0,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.513302034428795,
|
1154 |
+
"grad_norm": NaN,
|
1155 |
+
"learning_rate": 9.361567941699889e-05,
|
1156 |
+
"loss": 0.0,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.5164319248826291,
|
1161 |
+
"grad_norm": NaN,
|
1162 |
+
"learning_rate": 9.353433757099736e-05,
|
1163 |
+
"loss": 0.0,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.5195618153364632,
|
1168 |
+
"grad_norm": NaN,
|
1169 |
+
"learning_rate": 9.345251661930486e-05,
|
1170 |
+
"loss": 0.0,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.5226917057902973,
|
1175 |
+
"grad_norm": NaN,
|
1176 |
+
"learning_rate": 9.337021746238028e-05,
|
1177 |
+
"loss": 0.0,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.5258215962441315,
|
1182 |
+
"grad_norm": NaN,
|
1183 |
+
"learning_rate": 9.328744100594535e-05,
|
1184 |
+
"loss": 0.0,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.5289514866979655,
|
1189 |
+
"grad_norm": NaN,
|
1190 |
+
"learning_rate": 9.320418816097456e-05,
|
1191 |
+
"loss": 0.0,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.5320813771517997,
|
1196 |
+
"grad_norm": NaN,
|
1197 |
+
"learning_rate": 9.31204598436852e-05,
|
1198 |
+
"loss": 0.0,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.5352112676056338,
|
1203 |
+
"grad_norm": NaN,
|
1204 |
+
"learning_rate": 9.303625697552721e-05,
|
1205 |
+
"loss": 0.0,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.5383411580594679,
|
1210 |
+
"grad_norm": NaN,
|
1211 |
+
"learning_rate": 9.295158048317307e-05,
|
1212 |
+
"loss": 0.0,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.5414710485133021,
|
1217 |
+
"grad_norm": NaN,
|
1218 |
+
"learning_rate": 9.286643129850765e-05,
|
1219 |
+
"loss": 0.0,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.5446009389671361,
|
1224 |
+
"grad_norm": NaN,
|
1225 |
+
"learning_rate": 9.278081035861787e-05,
|
1226 |
+
"loss": 0.0,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.5477308294209703,
|
1231 |
+
"grad_norm": NaN,
|
1232 |
+
"learning_rate": 9.269471860578245e-05,
|
1233 |
+
"loss": 0.0,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.5508607198748043,
|
1238 |
+
"grad_norm": NaN,
|
1239 |
+
"learning_rate": 9.26081569874615e-05,
|
1240 |
+
"loss": 0.0,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.5539906103286385,
|
1245 |
+
"grad_norm": NaN,
|
1246 |
+
"learning_rate": 9.252112645628615e-05,
|
1247 |
+
"loss": 0.0,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.5571205007824727,
|
1252 |
+
"grad_norm": NaN,
|
1253 |
+
"learning_rate": 9.243362797004795e-05,
|
1254 |
+
"loss": 0.0,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.5602503912363067,
|
1259 |
+
"grad_norm": NaN,
|
1260 |
+
"learning_rate": 9.23456624916885e-05,
|
1261 |
+
"loss": 0.0,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.5633802816901409,
|
1266 |
+
"grad_norm": NaN,
|
1267 |
+
"learning_rate": 9.225723098928869e-05,
|
1268 |
+
"loss": 0.0,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.5665101721439749,
|
1273 |
+
"grad_norm": NaN,
|
1274 |
+
"learning_rate": 9.216833443605814e-05,
|
1275 |
+
"loss": 0.0,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.5696400625978091,
|
1280 |
+
"grad_norm": NaN,
|
1281 |
+
"learning_rate": 9.207897381032449e-05,
|
1282 |
+
"loss": 0.0,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.5727699530516432,
|
1287 |
+
"grad_norm": NaN,
|
1288 |
+
"learning_rate": 9.198915009552253e-05,
|
1289 |
+
"loss": 0.0,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.5758998435054773,
|
1294 |
+
"grad_norm": NaN,
|
1295 |
+
"learning_rate": 9.189886428018355e-05,
|
1296 |
+
"loss": 0.0,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.5790297339593115,
|
1301 |
+
"grad_norm": NaN,
|
1302 |
+
"learning_rate": 9.180811735792431e-05,
|
1303 |
+
"loss": 0.0,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.5821596244131455,
|
1308 |
+
"grad_norm": NaN,
|
1309 |
+
"learning_rate": 9.171691032743615e-05,
|
1310 |
+
"loss": 0.0,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.5852895148669797,
|
1315 |
+
"grad_norm": NaN,
|
1316 |
+
"learning_rate": 9.162524419247407e-05,
|
1317 |
+
"loss": 0.0,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.5884194053208138,
|
1322 |
+
"grad_norm": NaN,
|
1323 |
+
"learning_rate": 9.153311996184557e-05,
|
1324 |
+
"loss": 0.0,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.5915492957746479,
|
1329 |
+
"grad_norm": NaN,
|
1330 |
+
"learning_rate": 9.144053864939958e-05,
|
1331 |
+
"loss": 0.0,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.594679186228482,
|
1336 |
+
"grad_norm": NaN,
|
1337 |
+
"learning_rate": 9.134750127401544e-05,
|
1338 |
+
"loss": 0.0,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.5978090766823161,
|
1343 |
+
"grad_norm": NaN,
|
1344 |
+
"learning_rate": 9.125400885959141e-05,
|
1345 |
+
"loss": 0.0,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.6009389671361502,
|
1350 |
+
"grad_norm": NaN,
|
1351 |
+
"learning_rate": 9.11600624350337e-05,
|
1352 |
+
"loss": 0.0,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.6040688575899843,
|
1357 |
+
"grad_norm": NaN,
|
1358 |
+
"learning_rate": 9.106566303424492e-05,
|
1359 |
+
"loss": 0.0,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.6071987480438185,
|
1364 |
+
"grad_norm": NaN,
|
1365 |
+
"learning_rate": 9.097081169611283e-05,
|
1366 |
+
"loss": 0.0,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.6103286384976526,
|
1371 |
+
"grad_norm": NaN,
|
1372 |
+
"learning_rate": 9.087550946449888e-05,
|
1373 |
+
"loss": 0.0,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.6134585289514867,
|
1378 |
+
"grad_norm": NaN,
|
1379 |
+
"learning_rate": 9.077975738822666e-05,
|
1380 |
+
"loss": 0.0,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.6165884194053208,
|
1385 |
+
"grad_norm": NaN,
|
1386 |
+
"learning_rate": 9.068355652107045e-05,
|
1387 |
+
"loss": 0.0,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.6197183098591549,
|
1392 |
+
"grad_norm": NaN,
|
1393 |
+
"learning_rate": 9.058690792174358e-05,
|
1394 |
+
"loss": 0.0,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.622848200312989,
|
1399 |
+
"grad_norm": NaN,
|
1400 |
+
"learning_rate": 9.048981265388676e-05,
|
1401 |
+
"loss": 0.0,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.6259780907668232,
|
1406 |
+
"grad_norm": NaN,
|
1407 |
+
"learning_rate": 9.039227178605639e-05,
|
1408 |
+
"loss": 0.0,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.6291079812206573,
|
1413 |
+
"grad_norm": NaN,
|
1414 |
+
"learning_rate": 9.029428639171281e-05,
|
1415 |
+
"loss": 0.0,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.6322378716744914,
|
1420 |
+
"grad_norm": NaN,
|
1421 |
+
"learning_rate": 9.019585754920847e-05,
|
1422 |
+
"loss": 0.0,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.6353677621283255,
|
1427 |
+
"grad_norm": NaN,
|
1428 |
+
"learning_rate": 9.009698634177613e-05,
|
1429 |
+
"loss": 0.0,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.6384976525821596,
|
1434 |
+
"grad_norm": NaN,
|
1435 |
+
"learning_rate": 8.999767385751678e-05,
|
1436 |
+
"loss": 0.0,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.6416275430359938,
|
1441 |
+
"grad_norm": NaN,
|
1442 |
+
"learning_rate": 8.989792118938784e-05,
|
1443 |
+
"loss": 0.0,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.6447574334898278,
|
1448 |
+
"grad_norm": NaN,
|
1449 |
+
"learning_rate": 8.979772943519106e-05,
|
1450 |
+
"loss": 0.0,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.647887323943662,
|
1455 |
+
"grad_norm": NaN,
|
1456 |
+
"learning_rate": 8.96970996975604e-05,
|
1457 |
+
"loss": 0.0,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.651017214397496,
|
1462 |
+
"grad_norm": NaN,
|
1463 |
+
"learning_rate": 8.959603308394991e-05,
|
1464 |
+
"loss": 0.0,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.6541471048513302,
|
1469 |
+
"grad_norm": NaN,
|
1470 |
+
"learning_rate": 8.949453070662165e-05,
|
1471 |
+
"loss": 0.0,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.6572769953051644,
|
1476 |
+
"grad_norm": NaN,
|
1477 |
+
"learning_rate": 8.939259368263329e-05,
|
1478 |
+
"loss": 0.0,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.6604068857589984,
|
1483 |
+
"grad_norm": NaN,
|
1484 |
+
"learning_rate": 8.929022313382589e-05,
|
1485 |
+
"loss": 0.0,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.6635367762128326,
|
1490 |
+
"grad_norm": NaN,
|
1491 |
+
"learning_rate": 8.918742018681161e-05,
|
1492 |
+
"loss": 0.0,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.6666666666666666,
|
1497 |
+
"grad_norm": NaN,
|
1498 |
+
"learning_rate": 8.90841859729612e-05,
|
1499 |
+
"loss": 0.0,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.6697965571205008,
|
1504 |
+
"grad_norm": NaN,
|
1505 |
+
"learning_rate": 8.898052162839162e-05,
|
1506 |
+
"loss": 0.0,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.672926447574335,
|
1511 |
+
"grad_norm": NaN,
|
1512 |
+
"learning_rate": 8.887642829395353e-05,
|
1513 |
+
"loss": 0.0,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.676056338028169,
|
1518 |
+
"grad_norm": NaN,
|
1519 |
+
"learning_rate": 8.877190711521872e-05,
|
1520 |
+
"loss": 0.0,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.6791862284820032,
|
1525 |
+
"grad_norm": NaN,
|
1526 |
+
"learning_rate": 8.86669592424675e-05,
|
1527 |
+
"loss": 0.0,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.6823161189358372,
|
1532 |
+
"grad_norm": NaN,
|
1533 |
+
"learning_rate": 8.856158583067607e-05,
|
1534 |
+
"loss": 0.0,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.6854460093896714,
|
1539 |
+
"grad_norm": NaN,
|
1540 |
+
"learning_rate": 8.845578803950373e-05,
|
1541 |
+
"loss": 0.0,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.6885758998435054,
|
1546 |
+
"grad_norm": NaN,
|
1547 |
+
"learning_rate": 8.834956703328026e-05,
|
1548 |
+
"loss": 0.0,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.6917057902973396,
|
1553 |
+
"grad_norm": NaN,
|
1554 |
+
"learning_rate": 8.824292398099298e-05,
|
1555 |
+
"loss": 0.0,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.6948356807511737,
|
1560 |
+
"grad_norm": NaN,
|
1561 |
+
"learning_rate": 8.813586005627389e-05,
|
1562 |
+
"loss": 0.0,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.6979655712050078,
|
1567 |
+
"grad_norm": NaN,
|
1568 |
+
"learning_rate": 8.802837643738686e-05,
|
1569 |
+
"loss": 0.0,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.701095461658842,
|
1574 |
+
"grad_norm": NaN,
|
1575 |
+
"learning_rate": 8.792047430721456e-05,
|
1576 |
+
"loss": 0.0,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.704225352112676,
|
1581 |
+
"grad_norm": NaN,
|
1582 |
+
"learning_rate": 8.781215485324544e-05,
|
1583 |
+
"loss": 0.0,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.7073552425665102,
|
1588 |
+
"grad_norm": NaN,
|
1589 |
+
"learning_rate": 8.770341926756078e-05,
|
1590 |
+
"loss": 0.0,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.7104851330203443,
|
1595 |
+
"grad_norm": NaN,
|
1596 |
+
"learning_rate": 8.759426874682142e-05,
|
1597 |
+
"loss": 0.0,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.7136150234741784,
|
1602 |
+
"grad_norm": NaN,
|
1603 |
+
"learning_rate": 8.748470449225467e-05,
|
1604 |
+
"loss": 0.0,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.7167449139280125,
|
1609 |
+
"grad_norm": NaN,
|
1610 |
+
"learning_rate": 8.737472770964112e-05,
|
1611 |
+
"loss": 0.0,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.7198748043818466,
|
1616 |
+
"grad_norm": NaN,
|
1617 |
+
"learning_rate": 8.726433960930126e-05,
|
1618 |
+
"loss": 0.0,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.7230046948356808,
|
1623 |
+
"grad_norm": NaN,
|
1624 |
+
"learning_rate": 8.715354140608229e-05,
|
1625 |
+
"loss": 0.0,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.7261345852895149,
|
1630 |
+
"grad_norm": NaN,
|
1631 |
+
"learning_rate": 8.704233431934468e-05,
|
1632 |
+
"loss": 0.0,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.729264475743349,
|
1637 |
+
"grad_norm": NaN,
|
1638 |
+
"learning_rate": 8.693071957294871e-05,
|
1639 |
+
"loss": 0.0,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.7323943661971831,
|
1644 |
+
"grad_norm": NaN,
|
1645 |
+
"learning_rate": 8.68186983952411e-05,
|
1646 |
+
"loss": 0.0,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.7355242566510172,
|
1651 |
+
"grad_norm": NaN,
|
1652 |
+
"learning_rate": 8.670627201904144e-05,
|
1653 |
+
"loss": 0.0,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.7386541471048513,
|
1658 |
+
"grad_norm": NaN,
|
1659 |
+
"learning_rate": 8.659344168162861e-05,
|
1660 |
+
"loss": 0.0,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.7417840375586855,
|
1665 |
+
"grad_norm": NaN,
|
1666 |
+
"learning_rate": 8.64802086247272e-05,
|
1667 |
+
"loss": 0.0,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.7449139280125195,
|
1672 |
+
"grad_norm": NaN,
|
1673 |
+
"learning_rate": 8.636657409449378e-05,
|
1674 |
+
"loss": 0.0,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.7480438184663537,
|
1679 |
+
"grad_norm": NaN,
|
1680 |
+
"learning_rate": 8.625253934150328e-05,
|
1681 |
+
"loss": 0.0,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.7511737089201878,
|
1686 |
+
"grad_norm": NaN,
|
1687 |
+
"learning_rate": 8.613810562073512e-05,
|
1688 |
+
"loss": 0.0,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.7543035993740219,
|
1693 |
+
"grad_norm": NaN,
|
1694 |
+
"learning_rate": 8.602327419155951e-05,
|
1695 |
+
"loss": 0.0,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.7574334898278561,
|
1700 |
+
"grad_norm": NaN,
|
1701 |
+
"learning_rate": 8.590804631772352e-05,
|
1702 |
+
"loss": 0.0,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.7605633802816901,
|
1707 |
+
"grad_norm": NaN,
|
1708 |
+
"learning_rate": 8.579242326733716e-05,
|
1709 |
+
"loss": 0.0,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.7636932707355243,
|
1714 |
+
"grad_norm": NaN,
|
1715 |
+
"learning_rate": 8.56764063128595e-05,
|
1716 |
+
"loss": 0.0,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.7668231611893583,
|
1721 |
+
"grad_norm": NaN,
|
1722 |
+
"learning_rate": 8.555999673108455e-05,
|
1723 |
+
"loss": 0.0,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.7699530516431925,
|
1728 |
+
"grad_norm": NaN,
|
1729 |
+
"learning_rate": 8.544319580312734e-05,
|
1730 |
+
"loss": 0.0,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.7730829420970265,
|
1735 |
+
"grad_norm": NaN,
|
1736 |
+
"learning_rate": 8.532600481440974e-05,
|
1737 |
+
"loss": 0.0,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.7762128325508607,
|
1742 |
+
"grad_norm": NaN,
|
1743 |
+
"learning_rate": 8.52084250546463e-05,
|
1744 |
+
"loss": 0.0,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.7793427230046949,
|
1749 |
+
"grad_norm": NaN,
|
1750 |
+
"learning_rate": 8.509045781783011e-05,
|
1751 |
+
"loss": 0.0,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.7824726134585289,
|
1756 |
+
"grad_norm": NaN,
|
1757 |
+
"learning_rate": 8.497210440221857e-05,
|
1758 |
+
"loss": 0.0,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.7856025039123631,
|
1763 |
+
"grad_norm": NaN,
|
1764 |
+
"learning_rate": 8.485336611031902e-05,
|
1765 |
+
"loss": 0.0,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.7887323943661971,
|
1770 |
+
"grad_norm": NaN,
|
1771 |
+
"learning_rate": 8.473424424887447e-05,
|
1772 |
+
"loss": 0.0,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.7918622848200313,
|
1777 |
+
"grad_norm": NaN,
|
1778 |
+
"learning_rate": 8.46147401288492e-05,
|
1779 |
+
"loss": 0.0,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.7949921752738655,
|
1784 |
+
"grad_norm": NaN,
|
1785 |
+
"learning_rate": 8.449485506541434e-05,
|
1786 |
+
"loss": 0.0,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.7981220657276995,
|
1791 |
+
"grad_norm": NaN,
|
1792 |
+
"learning_rate": 8.437459037793342e-05,
|
1793 |
+
"loss": 0.0,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.8012519561815337,
|
1798 |
+
"grad_norm": NaN,
|
1799 |
+
"learning_rate": 8.425394738994776e-05,
|
1800 |
+
"loss": 0.0,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.8043818466353677,
|
1805 |
+
"grad_norm": NaN,
|
1806 |
+
"learning_rate": 8.413292742916203e-05,
|
1807 |
+
"loss": 0.0,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.8075117370892019,
|
1812 |
+
"grad_norm": NaN,
|
1813 |
+
"learning_rate": 8.401153182742954e-05,
|
1814 |
+
"loss": 0.0,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.810641627543036,
|
1819 |
+
"grad_norm": NaN,
|
1820 |
+
"learning_rate": 8.388976192073761e-05,
|
1821 |
+
"loss": 0.0,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.8137715179968701,
|
1826 |
+
"grad_norm": NaN,
|
1827 |
+
"learning_rate": 8.376761904919293e-05,
|
1828 |
+
"loss": 0.0,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.8169014084507042,
|
1833 |
+
"grad_norm": NaN,
|
1834 |
+
"learning_rate": 8.364510455700666e-05,
|
1835 |
+
"loss": 0.0,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.8200312989045383,
|
1840 |
+
"grad_norm": NaN,
|
1841 |
+
"learning_rate": 8.352221979247983e-05,
|
1842 |
+
"loss": 0.0,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.8231611893583725,
|
1847 |
+
"grad_norm": NaN,
|
1848 |
+
"learning_rate": 8.339896610798836e-05,
|
1849 |
+
"loss": 0.0,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.8262910798122066,
|
1854 |
+
"grad_norm": NaN,
|
1855 |
+
"learning_rate": 8.327534485996822e-05,
|
1856 |
+
"loss": 0.0,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.8294209702660407,
|
1861 |
+
"grad_norm": NaN,
|
1862 |
+
"learning_rate": 8.315135740890052e-05,
|
1863 |
+
"loss": 0.0,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.8325508607198748,
|
1868 |
+
"grad_norm": NaN,
|
1869 |
+
"learning_rate": 8.302700511929648e-05,
|
1870 |
+
"loss": 0.0,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.8356807511737089,
|
1875 |
+
"grad_norm": NaN,
|
1876 |
+
"learning_rate": 8.290228935968252e-05,
|
1877 |
+
"loss": 0.0,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.838810641627543,
|
1882 |
+
"grad_norm": NaN,
|
1883 |
+
"learning_rate": 8.277721150258508e-05,
|
1884 |
+
"loss": 0.0,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.8419405320813772,
|
1889 |
+
"grad_norm": NaN,
|
1890 |
+
"learning_rate": 8.265177292451562e-05,
|
1891 |
+
"loss": 0.0,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.8450704225352113,
|
1896 |
+
"grad_norm": NaN,
|
1897 |
+
"learning_rate": 8.252597500595534e-05,
|
1898 |
+
"loss": 0.0,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.8482003129890454,
|
1903 |
+
"grad_norm": NaN,
|
1904 |
+
"learning_rate": 8.239981913134012e-05,
|
1905 |
+
"loss": 0.0,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.8513302034428795,
|
1910 |
+
"grad_norm": NaN,
|
1911 |
+
"learning_rate": 8.227330668904527e-05,
|
1912 |
+
"loss": 0.0,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.8544600938967136,
|
1917 |
+
"grad_norm": NaN,
|
1918 |
+
"learning_rate": 8.214643907137012e-05,
|
1919 |
+
"loss": 0.0,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.8575899843505478,
|
1924 |
+
"grad_norm": NaN,
|
1925 |
+
"learning_rate": 8.201921767452286e-05,
|
1926 |
+
"loss": 0.0,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.8607198748043818,
|
1931 |
+
"grad_norm": NaN,
|
1932 |
+
"learning_rate": 8.189164389860507e-05,
|
1933 |
+
"loss": 0.0,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.863849765258216,
|
1938 |
+
"grad_norm": NaN,
|
1939 |
+
"learning_rate": 8.176371914759635e-05,
|
1940 |
+
"loss": 0.0,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.86697965571205,
|
1945 |
+
"grad_norm": NaN,
|
1946 |
+
"learning_rate": 8.163544482933888e-05,
|
1947 |
+
"loss": 0.0,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.8701095461658842,
|
1952 |
+
"grad_norm": NaN,
|
1953 |
+
"learning_rate": 8.150682235552191e-05,
|
1954 |
+
"loss": 0.0,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.8732394366197183,
|
1959 |
+
"grad_norm": NaN,
|
1960 |
+
"learning_rate": 8.137785314166619e-05,
|
1961 |
+
"loss": 0.0,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.8763693270735524,
|
1966 |
+
"grad_norm": NaN,
|
1967 |
+
"learning_rate": 8.124853860710846e-05,
|
1968 |
+
"loss": 0.0,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.8794992175273866,
|
1973 |
+
"grad_norm": NaN,
|
1974 |
+
"learning_rate": 8.111888017498578e-05,
|
1975 |
+
"loss": 0.0,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.8826291079812206,
|
1980 |
+
"grad_norm": NaN,
|
1981 |
+
"learning_rate": 8.098887927221993e-05,
|
1982 |
+
"loss": 0.0,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.8857589984350548,
|
1987 |
+
"grad_norm": NaN,
|
1988 |
+
"learning_rate": 8.085853732950155e-05,
|
1989 |
+
"loss": 0.0,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.8888888888888888,
|
1994 |
+
"grad_norm": NaN,
|
1995 |
+
"learning_rate": 8.072785578127462e-05,
|
1996 |
+
"loss": 0.0,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.892018779342723,
|
2001 |
+
"grad_norm": NaN,
|
2002 |
+
"learning_rate": 8.059683606572053e-05,
|
2003 |
+
"loss": 0.0,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.8951486697965572,
|
2008 |
+
"grad_norm": NaN,
|
2009 |
+
"learning_rate": 8.046547962474221e-05,
|
2010 |
+
"loss": 0.0,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.8982785602503912,
|
2015 |
+
"grad_norm": NaN,
|
2016 |
+
"learning_rate": 8.033378790394843e-05,
|
2017 |
+
"loss": 0.0,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.9014084507042254,
|
2022 |
+
"grad_norm": NaN,
|
2023 |
+
"learning_rate": 8.020176235263776e-05,
|
2024 |
+
"loss": 0.0,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.9045383411580594,
|
2029 |
+
"grad_norm": NaN,
|
2030 |
+
"learning_rate": 8.006940442378264e-05,
|
2031 |
+
"loss": 0.0,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.9076682316118936,
|
2036 |
+
"grad_norm": NaN,
|
2037 |
+
"learning_rate": 7.993671557401339e-05,
|
2038 |
+
"loss": 0.0,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.9107981220657277,
|
2043 |
+
"grad_norm": NaN,
|
2044 |
+
"learning_rate": 7.980369726360224e-05,
|
2045 |
+
"loss": 0.0,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.9139280125195618,
|
2050 |
+
"grad_norm": NaN,
|
2051 |
+
"learning_rate": 7.967035095644716e-05,
|
2052 |
+
"loss": 0.0,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.917057902973396,
|
2057 |
+
"grad_norm": NaN,
|
2058 |
+
"learning_rate": 7.953667812005584e-05,
|
2059 |
+
"loss": 0.0,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.92018779342723,
|
2064 |
+
"grad_norm": NaN,
|
2065 |
+
"learning_rate": 7.94026802255295e-05,
|
2066 |
+
"loss": 0.0,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.9233176838810642,
|
2071 |
+
"grad_norm": NaN,
|
2072 |
+
"learning_rate": 7.926835874754668e-05,
|
2073 |
+
"loss": 0.0,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.9264475743348983,
|
2078 |
+
"grad_norm": NaN,
|
2079 |
+
"learning_rate": 7.913371516434704e-05,
|
2080 |
+
"loss": 0.0,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.9295774647887324,
|
2085 |
+
"grad_norm": NaN,
|
2086 |
+
"learning_rate": 7.89987509577151e-05,
|
2087 |
+
"loss": 0.0,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.9327073552425665,
|
2092 |
+
"grad_norm": NaN,
|
2093 |
+
"learning_rate": 7.886346761296389e-05,
|
2094 |
+
"loss": 0.0,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.9358372456964006,
|
2099 |
+
"grad_norm": NaN,
|
2100 |
+
"learning_rate": 7.872786661891866e-05,
|
2101 |
+
"loss": 0.0,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.9389671361502347,
|
2106 |
+
"grad_norm": NaN,
|
2107 |
+
"learning_rate": 7.859194946790043e-05,
|
2108 |
+
"loss": 0.0,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.9420970266040689,
|
2113 |
+
"grad_norm": NaN,
|
2114 |
+
"learning_rate": 7.845571765570966e-05,
|
2115 |
+
"loss": 0.0,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.945226917057903,
|
2120 |
+
"grad_norm": NaN,
|
2121 |
+
"learning_rate": 7.831917268160966e-05,
|
2122 |
+
"loss": 0.0,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.9483568075117371,
|
2127 |
+
"grad_norm": NaN,
|
2128 |
+
"learning_rate": 7.81823160483102e-05,
|
2129 |
+
"loss": 0.0,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.9514866979655712,
|
2134 |
+
"grad_norm": NaN,
|
2135 |
+
"learning_rate": 7.804514926195093e-05,
|
2136 |
+
"loss": 0.0,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.9546165884194053,
|
2141 |
+
"grad_norm": NaN,
|
2142 |
+
"learning_rate": 7.790767383208481e-05,
|
2143 |
+
"loss": 0.0,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.9577464788732394,
|
2148 |
+
"grad_norm": NaN,
|
2149 |
+
"learning_rate": 7.77698912716615e-05,
|
2150 |
+
"loss": 0.0,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.9608763693270735,
|
2155 |
+
"grad_norm": NaN,
|
2156 |
+
"learning_rate": 7.763180309701068e-05,
|
2157 |
+
"loss": 0.0,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.9640062597809077,
|
2162 |
+
"grad_norm": NaN,
|
2163 |
+
"learning_rate": 7.74934108278254e-05,
|
2164 |
+
"loss": 0.0,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.9671361502347418,
|
2169 |
+
"grad_norm": NaN,
|
2170 |
+
"learning_rate": 7.735471598714535e-05,
|
2171 |
+
"loss": 0.0,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.9702660406885759,
|
2176 |
+
"grad_norm": NaN,
|
2177 |
+
"learning_rate": 7.72157201013401e-05,
|
2178 |
+
"loss": 0.0,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.97339593114241,
|
2183 |
+
"grad_norm": NaN,
|
2184 |
+
"learning_rate": 7.707642470009227e-05,
|
2185 |
+
"loss": 0.0,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.9765258215962441,
|
2190 |
+
"grad_norm": NaN,
|
2191 |
+
"learning_rate": 7.69368313163807e-05,
|
2192 |
+
"loss": 0.0,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.9796557120500783,
|
2197 |
+
"grad_norm": NaN,
|
2198 |
+
"learning_rate": 7.679694148646366e-05,
|
2199 |
+
"loss": 0.0,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.9827856025039123,
|
2204 |
+
"grad_norm": NaN,
|
2205 |
+
"learning_rate": 7.665675674986181e-05,
|
2206 |
+
"loss": 0.0,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.9859154929577465,
|
2211 |
+
"grad_norm": NaN,
|
2212 |
+
"learning_rate": 7.65162786493414e-05,
|
2213 |
+
"loss": 0.0,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.9890453834115805,
|
2218 |
+
"grad_norm": NaN,
|
2219 |
+
"learning_rate": 7.637550873089718e-05,
|
2220 |
+
"loss": 0.0,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.9921752738654147,
|
2225 |
+
"grad_norm": NaN,
|
2226 |
+
"learning_rate": 7.623444854373539e-05,
|
2227 |
+
"loss": 0.0,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.9953051643192489,
|
2232 |
+
"grad_norm": NaN,
|
2233 |
+
"learning_rate": 7.609309964025681e-05,
|
2234 |
+
"loss": 0.0,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.9984350547730829,
|
2239 |
+
"grad_norm": NaN,
|
2240 |
+
"learning_rate": 7.595146357603958e-05,
|
2241 |
+
"loss": 0.0,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.9984350547730829,
|
2246 |
+
"eval_loss": NaN,
|
2247 |
+
"eval_runtime": 15.1685,
|
2248 |
+
"eval_samples_per_second": 35.534,
|
2249 |
+
"eval_steps_per_second": 8.9,
|
2250 |
+
"step": 319
|
2251 |
+
}
|
2252 |
+
],
|
2253 |
+
"logging_steps": 1,
|
2254 |
+
"max_steps": 957,
|
2255 |
+
"num_input_tokens_seen": 0,
|
2256 |
+
"num_train_epochs": 3,
|
2257 |
+
"save_steps": 500,
|
2258 |
+
"stateful_callbacks": {
|
2259 |
+
"TrainerControl": {
|
2260 |
+
"args": {
|
2261 |
+
"should_epoch_stop": false,
|
2262 |
+
"should_evaluate": false,
|
2263 |
+
"should_log": false,
|
2264 |
+
"should_save": true,
|
2265 |
+
"should_training_stop": false
|
2266 |
+
},
|
2267 |
+
"attributes": {}
|
2268 |
+
}
|
2269 |
+
},
|
2270 |
+
"total_flos": 8.462218863889613e+16,
|
2271 |
+
"train_batch_size": 4,
|
2272 |
+
"trial_name": null,
|
2273 |
+
"trial_params": null
|
2274 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7e1e04d467ca1f3be5d8b54c0c9dcab76f3a1464f686b67b8fd9104287d7c22
|
3 |
+
size 6776
|
last-checkpoint/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|