Upload 7 files
Browse files- README.md +202 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- trainer_state.json +727 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: huggyllama/llama-7b
|
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 0.11.1
|
adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "huggyllama/llama-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
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": 0.0,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": "unsloth",
|
22 |
+
"target_modules": [
|
23 |
+
"v_proj",
|
24 |
+
"q_proj",
|
25 |
+
"k_proj",
|
26 |
+
"o_proj"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:34ef2a147717b4436b3836b03a8137527cc2e469b6ff761cc92bb014557e25f3
|
3 |
+
size 33588528
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<unk>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": false,
|
35 |
+
"model_max_length": 2048,
|
36 |
+
"pad_token": "<unk>",
|
37 |
+
"padding_side": "right",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,727 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8182997107505798,
|
3 |
+
"best_model_checkpoint": "outputs/checkpoint-92",
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 23,
|
6 |
+
"global_step": 92,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.010869565217391304,
|
13 |
+
"grad_norm": 0.25948596000671387,
|
14 |
+
"learning_rate": 0.001,
|
15 |
+
"loss": 2.557,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.021739130434782608,
|
20 |
+
"grad_norm": 0.6524776220321655,
|
21 |
+
"learning_rate": 0.001,
|
22 |
+
"loss": 2.2351,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03260869565217391,
|
27 |
+
"grad_norm": 0.5083250403404236,
|
28 |
+
"learning_rate": 0.001,
|
29 |
+
"loss": 1.9823,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.043478260869565216,
|
34 |
+
"grad_norm": 2.7111644744873047,
|
35 |
+
"learning_rate": 0.001,
|
36 |
+
"loss": 1.766,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05434782608695652,
|
41 |
+
"grad_norm": 0.5816826224327087,
|
42 |
+
"learning_rate": 0.001,
|
43 |
+
"loss": 1.5714,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06521739130434782,
|
48 |
+
"grad_norm": 0.3153815269470215,
|
49 |
+
"learning_rate": 0.001,
|
50 |
+
"loss": 1.4747,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07608695652173914,
|
55 |
+
"grad_norm": 0.23670993745326996,
|
56 |
+
"learning_rate": 0.001,
|
57 |
+
"loss": 1.4613,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.08695652173913043,
|
62 |
+
"grad_norm": 0.22481270134449005,
|
63 |
+
"learning_rate": 0.001,
|
64 |
+
"loss": 1.3309,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.09782608695652174,
|
69 |
+
"grad_norm": 0.19224806129932404,
|
70 |
+
"learning_rate": 0.001,
|
71 |
+
"loss": 1.2744,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.10869565217391304,
|
76 |
+
"grad_norm": 0.4313323199748993,
|
77 |
+
"learning_rate": 0.001,
|
78 |
+
"loss": 1.2549,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.11956521739130435,
|
83 |
+
"grad_norm": 0.21521781384944916,
|
84 |
+
"learning_rate": 0.001,
|
85 |
+
"loss": 1.2236,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.13043478260869565,
|
90 |
+
"grad_norm": 0.22998858988285065,
|
91 |
+
"learning_rate": 0.001,
|
92 |
+
"loss": 1.2058,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.14130434782608695,
|
97 |
+
"grad_norm": 0.912493109703064,
|
98 |
+
"learning_rate": 0.001,
|
99 |
+
"loss": 1.2498,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.15217391304347827,
|
104 |
+
"grad_norm": 0.9947443008422852,
|
105 |
+
"learning_rate": 0.001,
|
106 |
+
"loss": 1.1692,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.16304347826086957,
|
111 |
+
"grad_norm": 0.6725525259971619,
|
112 |
+
"learning_rate": 0.001,
|
113 |
+
"loss": 1.1741,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.17391304347826086,
|
118 |
+
"grad_norm": 0.4825955927371979,
|
119 |
+
"learning_rate": 0.001,
|
120 |
+
"loss": 1.1859,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.18478260869565216,
|
125 |
+
"grad_norm": 0.5571773648262024,
|
126 |
+
"learning_rate": 0.001,
|
127 |
+
"loss": 1.246,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1956521739130435,
|
132 |
+
"grad_norm": 0.5893177390098572,
|
133 |
+
"learning_rate": 0.001,
|
134 |
+
"loss": 1.2051,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.20652173913043478,
|
139 |
+
"grad_norm": 0.3296414613723755,
|
140 |
+
"learning_rate": 0.001,
|
141 |
+
"loss": 1.1514,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.21739130434782608,
|
146 |
+
"grad_norm": 192.71990966796875,
|
147 |
+
"learning_rate": 0.001,
|
148 |
+
"loss": 3.0997,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.22826086956521738,
|
153 |
+
"grad_norm": 0.42136579751968384,
|
154 |
+
"learning_rate": 0.001,
|
155 |
+
"loss": 1.0657,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.2391304347826087,
|
160 |
+
"grad_norm": 0.7099547982215881,
|
161 |
+
"learning_rate": 0.001,
|
162 |
+
"loss": 1.0948,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.25,
|
167 |
+
"grad_norm": 20.096664428710938,
|
168 |
+
"learning_rate": 0.001,
|
169 |
+
"loss": 1.2483,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.25,
|
174 |
+
"eval_loss": 1.2063277959823608,
|
175 |
+
"eval_runtime": 58.817,
|
176 |
+
"eval_samples_per_second": 29.855,
|
177 |
+
"eval_steps_per_second": 3.74,
|
178 |
+
"step": 23
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.2608695652173913,
|
182 |
+
"grad_norm": 189.78805541992188,
|
183 |
+
"learning_rate": 0.001,
|
184 |
+
"loss": 1.1614,
|
185 |
+
"step": 24
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.2717391304347826,
|
189 |
+
"grad_norm": 169.01876831054688,
|
190 |
+
"learning_rate": 0.001,
|
191 |
+
"loss": 2.2421,
|
192 |
+
"step": 25
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.2826086956521739,
|
196 |
+
"grad_norm": 3.0187716484069824,
|
197 |
+
"learning_rate": 0.001,
|
198 |
+
"loss": 1.1622,
|
199 |
+
"step": 26
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.29347826086956524,
|
203 |
+
"grad_norm": 0.2984677851200104,
|
204 |
+
"learning_rate": 0.001,
|
205 |
+
"loss": 1.1179,
|
206 |
+
"step": 27
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.30434782608695654,
|
210 |
+
"grad_norm": 0.3879133462905884,
|
211 |
+
"learning_rate": 0.001,
|
212 |
+
"loss": 1.0627,
|
213 |
+
"step": 28
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.31521739130434784,
|
217 |
+
"grad_norm": 0.3028254806995392,
|
218 |
+
"learning_rate": 0.001,
|
219 |
+
"loss": 1.0891,
|
220 |
+
"step": 29
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.32608695652173914,
|
224 |
+
"grad_norm": 0.22070440649986267,
|
225 |
+
"learning_rate": 0.001,
|
226 |
+
"loss": 1.034,
|
227 |
+
"step": 30
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.33695652173913043,
|
231 |
+
"grad_norm": 0.21481624245643616,
|
232 |
+
"learning_rate": 0.001,
|
233 |
+
"loss": 1.0961,
|
234 |
+
"step": 31
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.34782608695652173,
|
238 |
+
"grad_norm": 0.21487851440906525,
|
239 |
+
"learning_rate": 0.001,
|
240 |
+
"loss": 1.0287,
|
241 |
+
"step": 32
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.358695652173913,
|
245 |
+
"grad_norm": 0.23472800850868225,
|
246 |
+
"learning_rate": 0.001,
|
247 |
+
"loss": 0.9764,
|
248 |
+
"step": 33
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.3695652173913043,
|
252 |
+
"grad_norm": 0.2811538279056549,
|
253 |
+
"learning_rate": 0.001,
|
254 |
+
"loss": 1.0515,
|
255 |
+
"step": 34
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.3804347826086957,
|
259 |
+
"grad_norm": 0.505190908908844,
|
260 |
+
"learning_rate": 0.001,
|
261 |
+
"loss": 1.0424,
|
262 |
+
"step": 35
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.391304347826087,
|
266 |
+
"grad_norm": 0.42631781101226807,
|
267 |
+
"learning_rate": 0.001,
|
268 |
+
"loss": 1.0337,
|
269 |
+
"step": 36
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.40217391304347827,
|
273 |
+
"grad_norm": 1.035503625869751,
|
274 |
+
"learning_rate": 0.001,
|
275 |
+
"loss": 0.9914,
|
276 |
+
"step": 37
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.41304347826086957,
|
280 |
+
"grad_norm": 0.17122802138328552,
|
281 |
+
"learning_rate": 0.001,
|
282 |
+
"loss": 0.9921,
|
283 |
+
"step": 38
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.42391304347826086,
|
287 |
+
"grad_norm": 0.45569631457328796,
|
288 |
+
"learning_rate": 0.001,
|
289 |
+
"loss": 0.9887,
|
290 |
+
"step": 39
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.43478260869565216,
|
294 |
+
"grad_norm": 0.44947272539138794,
|
295 |
+
"learning_rate": 0.001,
|
296 |
+
"loss": 1.0364,
|
297 |
+
"step": 40
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.44565217391304346,
|
301 |
+
"grad_norm": 0.20161911845207214,
|
302 |
+
"learning_rate": 0.001,
|
303 |
+
"loss": 0.9919,
|
304 |
+
"step": 41
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.45652173913043476,
|
308 |
+
"grad_norm": 0.16475366055965424,
|
309 |
+
"learning_rate": 0.001,
|
310 |
+
"loss": 0.9565,
|
311 |
+
"step": 42
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.4673913043478261,
|
315 |
+
"grad_norm": 0.14725033938884735,
|
316 |
+
"learning_rate": 0.001,
|
317 |
+
"loss": 0.966,
|
318 |
+
"step": 43
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.4782608695652174,
|
322 |
+
"grad_norm": 0.14876875281333923,
|
323 |
+
"learning_rate": 0.001,
|
324 |
+
"loss": 0.9352,
|
325 |
+
"step": 44
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.4891304347826087,
|
329 |
+
"grad_norm": 0.17598117887973785,
|
330 |
+
"learning_rate": 0.001,
|
331 |
+
"loss": 0.9868,
|
332 |
+
"step": 45
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.5,
|
336 |
+
"grad_norm": 0.1724141240119934,
|
337 |
+
"learning_rate": 0.001,
|
338 |
+
"loss": 0.9633,
|
339 |
+
"step": 46
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.5,
|
343 |
+
"eval_loss": 0.9434607028961182,
|
344 |
+
"eval_runtime": 58.8635,
|
345 |
+
"eval_samples_per_second": 29.832,
|
346 |
+
"eval_steps_per_second": 3.737,
|
347 |
+
"step": 46
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 0.5108695652173914,
|
351 |
+
"grad_norm": 0.16071145236492157,
|
352 |
+
"learning_rate": 0.001,
|
353 |
+
"loss": 0.8422,
|
354 |
+
"step": 47
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.5217391304347826,
|
358 |
+
"grad_norm": 0.15899214148521423,
|
359 |
+
"learning_rate": 0.001,
|
360 |
+
"loss": 0.8679,
|
361 |
+
"step": 48
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.532608695652174,
|
365 |
+
"grad_norm": 0.1507413685321808,
|
366 |
+
"learning_rate": 0.001,
|
367 |
+
"loss": 0.9633,
|
368 |
+
"step": 49
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.5434782608695652,
|
372 |
+
"grad_norm": 0.1445205807685852,
|
373 |
+
"learning_rate": 0.001,
|
374 |
+
"loss": 0.9291,
|
375 |
+
"step": 50
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.5543478260869565,
|
379 |
+
"grad_norm": 0.1479858011007309,
|
380 |
+
"learning_rate": 0.001,
|
381 |
+
"loss": 0.9272,
|
382 |
+
"step": 51
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.5652173913043478,
|
386 |
+
"grad_norm": 0.13822589814662933,
|
387 |
+
"learning_rate": 0.001,
|
388 |
+
"loss": 0.9729,
|
389 |
+
"step": 52
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.5760869565217391,
|
393 |
+
"grad_norm": 0.16067130863666534,
|
394 |
+
"learning_rate": 0.001,
|
395 |
+
"loss": 0.9124,
|
396 |
+
"step": 53
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.5869565217391305,
|
400 |
+
"grad_norm": 0.13832823932170868,
|
401 |
+
"learning_rate": 0.001,
|
402 |
+
"loss": 0.9292,
|
403 |
+
"step": 54
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.5978260869565217,
|
407 |
+
"grad_norm": 0.1415243297815323,
|
408 |
+
"learning_rate": 0.001,
|
409 |
+
"loss": 0.8777,
|
410 |
+
"step": 55
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.6086956521739131,
|
414 |
+
"grad_norm": 0.1511407047510147,
|
415 |
+
"learning_rate": 0.001,
|
416 |
+
"loss": 0.9124,
|
417 |
+
"step": 56
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.6195652173913043,
|
421 |
+
"grad_norm": 0.13163386285305023,
|
422 |
+
"learning_rate": 0.001,
|
423 |
+
"loss": 0.9266,
|
424 |
+
"step": 57
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.6304347826086957,
|
428 |
+
"grad_norm": 0.1511267125606537,
|
429 |
+
"learning_rate": 0.001,
|
430 |
+
"loss": 0.8583,
|
431 |
+
"step": 58
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.6413043478260869,
|
435 |
+
"grad_norm": 0.1495072990655899,
|
436 |
+
"learning_rate": 0.001,
|
437 |
+
"loss": 0.9624,
|
438 |
+
"step": 59
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.6521739130434783,
|
442 |
+
"grad_norm": 0.13261999189853668,
|
443 |
+
"learning_rate": 0.001,
|
444 |
+
"loss": 0.8063,
|
445 |
+
"step": 60
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.6630434782608695,
|
449 |
+
"grad_norm": 0.14297187328338623,
|
450 |
+
"learning_rate": 0.001,
|
451 |
+
"loss": 0.8697,
|
452 |
+
"step": 61
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.6739130434782609,
|
456 |
+
"grad_norm": 0.12715451419353485,
|
457 |
+
"learning_rate": 0.001,
|
458 |
+
"loss": 0.922,
|
459 |
+
"step": 62
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.6847826086956522,
|
463 |
+
"grad_norm": 0.13431622087955475,
|
464 |
+
"learning_rate": 0.001,
|
465 |
+
"loss": 0.9276,
|
466 |
+
"step": 63
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.6956521739130435,
|
470 |
+
"grad_norm": 0.1349351555109024,
|
471 |
+
"learning_rate": 0.001,
|
472 |
+
"loss": 0.8976,
|
473 |
+
"step": 64
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.7065217391304348,
|
477 |
+
"grad_norm": 0.1352081298828125,
|
478 |
+
"learning_rate": 0.001,
|
479 |
+
"loss": 0.8791,
|
480 |
+
"step": 65
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.717391304347826,
|
484 |
+
"grad_norm": 0.14080628752708435,
|
485 |
+
"learning_rate": 0.001,
|
486 |
+
"loss": 0.9413,
|
487 |
+
"step": 66
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 0.7282608695652174,
|
491 |
+
"grad_norm": 0.13674688339233398,
|
492 |
+
"learning_rate": 0.001,
|
493 |
+
"loss": 0.7708,
|
494 |
+
"step": 67
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.7391304347826086,
|
498 |
+
"grad_norm": 0.14996537566184998,
|
499 |
+
"learning_rate": 0.001,
|
500 |
+
"loss": 0.8691,
|
501 |
+
"step": 68
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.75,
|
505 |
+
"grad_norm": 0.1501636952161789,
|
506 |
+
"learning_rate": 0.001,
|
507 |
+
"loss": 0.9026,
|
508 |
+
"step": 69
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.75,
|
512 |
+
"eval_loss": 0.864105761051178,
|
513 |
+
"eval_runtime": 58.719,
|
514 |
+
"eval_samples_per_second": 29.905,
|
515 |
+
"eval_steps_per_second": 3.747,
|
516 |
+
"step": 69
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 0.7608695652173914,
|
520 |
+
"grad_norm": 0.1360858827829361,
|
521 |
+
"learning_rate": 0.001,
|
522 |
+
"loss": 0.8336,
|
523 |
+
"step": 70
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 0.7717391304347826,
|
527 |
+
"grad_norm": 0.1359189748764038,
|
528 |
+
"learning_rate": 0.001,
|
529 |
+
"loss": 0.8056,
|
530 |
+
"step": 71
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.782608695652174,
|
534 |
+
"grad_norm": 0.13545744121074677,
|
535 |
+
"learning_rate": 0.001,
|
536 |
+
"loss": 0.9322,
|
537 |
+
"step": 72
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.7934782608695652,
|
541 |
+
"grad_norm": 0.13769179582595825,
|
542 |
+
"learning_rate": 0.001,
|
543 |
+
"loss": 0.8573,
|
544 |
+
"step": 73
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.8043478260869565,
|
548 |
+
"grad_norm": 0.13420400023460388,
|
549 |
+
"learning_rate": 0.001,
|
550 |
+
"loss": 0.8809,
|
551 |
+
"step": 74
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.8152173913043478,
|
555 |
+
"grad_norm": 0.13306210935115814,
|
556 |
+
"learning_rate": 0.001,
|
557 |
+
"loss": 0.9157,
|
558 |
+
"step": 75
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 0.8260869565217391,
|
562 |
+
"grad_norm": 0.13138633966445923,
|
563 |
+
"learning_rate": 0.001,
|
564 |
+
"loss": 0.9247,
|
565 |
+
"step": 76
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 0.8369565217391305,
|
569 |
+
"grad_norm": 0.14224551618099213,
|
570 |
+
"learning_rate": 0.001,
|
571 |
+
"loss": 0.8511,
|
572 |
+
"step": 77
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.8478260869565217,
|
576 |
+
"grad_norm": 0.13072927296161652,
|
577 |
+
"learning_rate": 0.001,
|
578 |
+
"loss": 0.8806,
|
579 |
+
"step": 78
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.8586956521739131,
|
583 |
+
"grad_norm": 0.12070866674184799,
|
584 |
+
"learning_rate": 0.001,
|
585 |
+
"loss": 0.8334,
|
586 |
+
"step": 79
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 0.8695652173913043,
|
590 |
+
"grad_norm": 0.12449181079864502,
|
591 |
+
"learning_rate": 0.001,
|
592 |
+
"loss": 0.8746,
|
593 |
+
"step": 80
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.8804347826086957,
|
597 |
+
"grad_norm": 0.13722895085811615,
|
598 |
+
"learning_rate": 0.001,
|
599 |
+
"loss": 0.837,
|
600 |
+
"step": 81
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 0.8913043478260869,
|
604 |
+
"grad_norm": 0.128278911113739,
|
605 |
+
"learning_rate": 0.001,
|
606 |
+
"loss": 0.8383,
|
607 |
+
"step": 82
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 0.9021739130434783,
|
611 |
+
"grad_norm": 0.14108207821846008,
|
612 |
+
"learning_rate": 0.001,
|
613 |
+
"loss": 0.8355,
|
614 |
+
"step": 83
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.9130434782608695,
|
618 |
+
"grad_norm": 0.12417194992303848,
|
619 |
+
"learning_rate": 0.001,
|
620 |
+
"loss": 0.8296,
|
621 |
+
"step": 84
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.9239130434782609,
|
625 |
+
"grad_norm": 0.1307547390460968,
|
626 |
+
"learning_rate": 0.001,
|
627 |
+
"loss": 0.7873,
|
628 |
+
"step": 85
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 0.9347826086956522,
|
632 |
+
"grad_norm": 0.15271253883838654,
|
633 |
+
"learning_rate": 0.001,
|
634 |
+
"loss": 0.8745,
|
635 |
+
"step": 86
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.9456521739130435,
|
639 |
+
"grad_norm": 0.12832346558570862,
|
640 |
+
"learning_rate": 0.001,
|
641 |
+
"loss": 0.7989,
|
642 |
+
"step": 87
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 0.9565217391304348,
|
646 |
+
"grad_norm": 0.1639142632484436,
|
647 |
+
"learning_rate": 0.001,
|
648 |
+
"loss": 0.8138,
|
649 |
+
"step": 88
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.967391304347826,
|
653 |
+
"grad_norm": 0.17407165467739105,
|
654 |
+
"learning_rate": 0.001,
|
655 |
+
"loss": 0.8698,
|
656 |
+
"step": 89
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.9782608695652174,
|
660 |
+
"grad_norm": 0.14874844253063202,
|
661 |
+
"learning_rate": 0.001,
|
662 |
+
"loss": 0.8261,
|
663 |
+
"step": 90
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.9891304347826086,
|
667 |
+
"grad_norm": 0.1823408007621765,
|
668 |
+
"learning_rate": 0.001,
|
669 |
+
"loss": 0.8961,
|
670 |
+
"step": 91
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 1.0,
|
674 |
+
"grad_norm": 0.18705643713474274,
|
675 |
+
"learning_rate": 0.001,
|
676 |
+
"loss": 0.8455,
|
677 |
+
"step": 92
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 1.0,
|
681 |
+
"eval_loss": 0.8182997107505798,
|
682 |
+
"eval_runtime": 58.7326,
|
683 |
+
"eval_samples_per_second": 29.898,
|
684 |
+
"eval_steps_per_second": 3.746,
|
685 |
+
"step": 92
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 1.0,
|
689 |
+
"step": 92,
|
690 |
+
"total_flos": 2.3790723506425037e+17,
|
691 |
+
"train_loss": 1.0809093979389772,
|
692 |
+
"train_runtime": 1602.5337,
|
693 |
+
"train_samples_per_second": 7.305,
|
694 |
+
"train_steps_per_second": 0.057
|
695 |
+
}
|
696 |
+
],
|
697 |
+
"logging_steps": 1,
|
698 |
+
"max_steps": 92,
|
699 |
+
"num_input_tokens_seen": 0,
|
700 |
+
"num_train_epochs": 1,
|
701 |
+
"save_steps": 23,
|
702 |
+
"stateful_callbacks": {
|
703 |
+
"EarlyStoppingCallback": {
|
704 |
+
"args": {
|
705 |
+
"early_stopping_patience": 5,
|
706 |
+
"early_stopping_threshold": 0.0
|
707 |
+
},
|
708 |
+
"attributes": {
|
709 |
+
"early_stopping_patience_counter": 0
|
710 |
+
}
|
711 |
+
},
|
712 |
+
"TrainerControl": {
|
713 |
+
"args": {
|
714 |
+
"should_epoch_stop": false,
|
715 |
+
"should_evaluate": false,
|
716 |
+
"should_log": false,
|
717 |
+
"should_save": true,
|
718 |
+
"should_training_stop": true
|
719 |
+
},
|
720 |
+
"attributes": {}
|
721 |
+
}
|
722 |
+
},
|
723 |
+
"total_flos": 2.3790723506425037e+17,
|
724 |
+
"train_batch_size": 128,
|
725 |
+
"trial_name": null,
|
726 |
+
"trial_params": null
|
727 |
+
}
|