Upload 8 files
Browse files- README (2).md +202 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +792 -0
- training_args.bin +3 -0
README (2).md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
|
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 0.14.0
|
adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
|
5 |
+
"bias": "none",
|
6 |
+
"eva_config": null,
|
7 |
+
"exclude_modules": null,
|
8 |
+
"fan_in_fan_out": false,
|
9 |
+
"inference_mode": true,
|
10 |
+
"init_lora_weights": true,
|
11 |
+
"layer_replication": null,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
+
"loftq_config": {},
|
15 |
+
"lora_alpha": 32,
|
16 |
+
"lora_bias": false,
|
17 |
+
"lora_dropout": 0.1,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 16,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"q_proj",
|
27 |
+
"v_proj"
|
28 |
+
],
|
29 |
+
"task_type": "CAUSAL_LM",
|
30 |
+
"use_dora": false,
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ccf48890e190974116b26e9b0b3b9e55a94555a75220f3fb8a324146ec42c720
|
3 |
+
size 27280152
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:825094d4f2bac7d355d138172a5f4a5308ce6cb1ecc31a4e89a0f067d8783bc1
|
3 |
+
size 54633978
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:453ed5a8da412b5c48cbc181bb3dea15825e9c61963cccd44c4c01bbb3204293
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:148f5fc75cd8ea02560f86cd9b51cabd4a9c22597046cda2680322175da4aaeb
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,792 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.9936305732484074,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1059,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.028308563340410473,
|
13 |
+
"grad_norm": 10.472460746765137,
|
14 |
+
"learning_rate": 4.971671388101983e-05,
|
15 |
+
"loss": 5.6874,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.056617126680820945,
|
20 |
+
"grad_norm": 1.0690819025039673,
|
21 |
+
"learning_rate": 4.9244570349386214e-05,
|
22 |
+
"loss": 1.622,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.08492569002123142,
|
27 |
+
"grad_norm": 0.6105159521102905,
|
28 |
+
"learning_rate": 4.8772426817752596e-05,
|
29 |
+
"loss": 2.0585,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.11323425336164189,
|
34 |
+
"grad_norm": 0.9013139009475708,
|
35 |
+
"learning_rate": 4.830028328611898e-05,
|
36 |
+
"loss": 1.3675,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.14154281670205238,
|
41 |
+
"grad_norm": 1.0703097581863403,
|
42 |
+
"learning_rate": 4.7828139754485365e-05,
|
43 |
+
"loss": 1.7004,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.16985138004246284,
|
48 |
+
"grad_norm": 0.715630829334259,
|
49 |
+
"learning_rate": 4.7355996222851754e-05,
|
50 |
+
"loss": 1.2608,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.19815994338287332,
|
55 |
+
"grad_norm": 0.6118766069412231,
|
56 |
+
"learning_rate": 4.6883852691218135e-05,
|
57 |
+
"loss": 1.3334,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.22646850672328378,
|
62 |
+
"grad_norm": 1.0044665336608887,
|
63 |
+
"learning_rate": 4.641170915958452e-05,
|
64 |
+
"loss": 1.3244,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.25477707006369427,
|
69 |
+
"grad_norm": 1.927817940711975,
|
70 |
+
"learning_rate": 4.59395656279509e-05,
|
71 |
+
"loss": 1.2348,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.28308563340410475,
|
76 |
+
"grad_norm": 1.5741430521011353,
|
77 |
+
"learning_rate": 4.546742209631728e-05,
|
78 |
+
"loss": 1.22,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.31139419674451524,
|
83 |
+
"grad_norm": 0.6977642774581909,
|
84 |
+
"learning_rate": 4.499527856468367e-05,
|
85 |
+
"loss": 1.0786,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.33970276008492567,
|
90 |
+
"grad_norm": 2.7766706943511963,
|
91 |
+
"learning_rate": 4.452313503305005e-05,
|
92 |
+
"loss": 1.1531,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.36801132342533616,
|
97 |
+
"grad_norm": 2.0790321826934814,
|
98 |
+
"learning_rate": 4.405099150141643e-05,
|
99 |
+
"loss": 1.0915,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.39631988676574664,
|
104 |
+
"grad_norm": 3.8764405250549316,
|
105 |
+
"learning_rate": 4.357884796978281e-05,
|
106 |
+
"loss": 1.1757,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.42462845010615713,
|
111 |
+
"grad_norm": 0.8142156600952148,
|
112 |
+
"learning_rate": 4.31067044381492e-05,
|
113 |
+
"loss": 1.0972,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.45293701344656756,
|
118 |
+
"grad_norm": 2.6679811477661133,
|
119 |
+
"learning_rate": 4.263456090651558e-05,
|
120 |
+
"loss": 1.1941,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.48124557678697805,
|
125 |
+
"grad_norm": 3.724242925643921,
|
126 |
+
"learning_rate": 4.216241737488197e-05,
|
127 |
+
"loss": 1.0199,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.5095541401273885,
|
132 |
+
"grad_norm": 0.9096172451972961,
|
133 |
+
"learning_rate": 4.169027384324835e-05,
|
134 |
+
"loss": 0.9365,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.537862703467799,
|
139 |
+
"grad_norm": 0.8280671834945679,
|
140 |
+
"learning_rate": 4.1218130311614734e-05,
|
141 |
+
"loss": 0.7999,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.5661712668082095,
|
146 |
+
"grad_norm": 0.7605137825012207,
|
147 |
+
"learning_rate": 4.0745986779981115e-05,
|
148 |
+
"loss": 0.9142,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5944798301486199,
|
153 |
+
"grad_norm": 1.1094071865081787,
|
154 |
+
"learning_rate": 4.02738432483475e-05,
|
155 |
+
"loss": 0.9304,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.6227883934890305,
|
160 |
+
"grad_norm": 1.2188092470169067,
|
161 |
+
"learning_rate": 3.980169971671388e-05,
|
162 |
+
"loss": 1.0773,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.6510969568294409,
|
167 |
+
"grad_norm": 1.421103835105896,
|
168 |
+
"learning_rate": 3.932955618508027e-05,
|
169 |
+
"loss": 0.9702,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6794055201698513,
|
174 |
+
"grad_norm": 0.6401333212852478,
|
175 |
+
"learning_rate": 3.885741265344665e-05,
|
176 |
+
"loss": 0.8283,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.7077140835102619,
|
181 |
+
"grad_norm": 1.2169103622436523,
|
182 |
+
"learning_rate": 3.8385269121813036e-05,
|
183 |
+
"loss": 0.7306,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.7360226468506723,
|
188 |
+
"grad_norm": 4.206311225891113,
|
189 |
+
"learning_rate": 3.791312559017942e-05,
|
190 |
+
"loss": 0.7564,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.7643312101910829,
|
195 |
+
"grad_norm": 0.7803528308868408,
|
196 |
+
"learning_rate": 3.74409820585458e-05,
|
197 |
+
"loss": 0.9409,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.7926397735314933,
|
202 |
+
"grad_norm": 1.2564524412155151,
|
203 |
+
"learning_rate": 3.696883852691218e-05,
|
204 |
+
"loss": 0.8487,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.8209483368719037,
|
209 |
+
"grad_norm": 1.0345911979675293,
|
210 |
+
"learning_rate": 3.649669499527857e-05,
|
211 |
+
"loss": 0.9284,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.8492569002123143,
|
216 |
+
"grad_norm": 2.6895930767059326,
|
217 |
+
"learning_rate": 3.602455146364495e-05,
|
218 |
+
"loss": 1.1654,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.8775654635527247,
|
223 |
+
"grad_norm": 1.2171903848648071,
|
224 |
+
"learning_rate": 3.555240793201133e-05,
|
225 |
+
"loss": 0.8589,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.9058740268931351,
|
230 |
+
"grad_norm": 2.6197869777679443,
|
231 |
+
"learning_rate": 3.5080264400377714e-05,
|
232 |
+
"loss": 0.8405,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.9341825902335457,
|
237 |
+
"grad_norm": 0.9666792750358582,
|
238 |
+
"learning_rate": 3.4608120868744095e-05,
|
239 |
+
"loss": 1.1513,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.9624911535739561,
|
244 |
+
"grad_norm": 0.9216092824935913,
|
245 |
+
"learning_rate": 3.4135977337110484e-05,
|
246 |
+
"loss": 0.8712,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.9907997169143666,
|
251 |
+
"grad_norm": 2.9435744285583496,
|
252 |
+
"learning_rate": 3.366383380547687e-05,
|
253 |
+
"loss": 0.9633,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.0,
|
258 |
+
"eval_loss": 0.920014500617981,
|
259 |
+
"eval_runtime": 45.4818,
|
260 |
+
"eval_samples_per_second": 15.545,
|
261 |
+
"eval_steps_per_second": 1.957,
|
262 |
+
"step": 354
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 1.0169851380042463,
|
266 |
+
"grad_norm": 0.7391465306282043,
|
267 |
+
"learning_rate": 3.3191690273843253e-05,
|
268 |
+
"loss": 0.6779,
|
269 |
+
"step": 360
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.0452937013446568,
|
273 |
+
"grad_norm": 1.267843246459961,
|
274 |
+
"learning_rate": 3.2719546742209635e-05,
|
275 |
+
"loss": 0.9072,
|
276 |
+
"step": 370
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 1.0736022646850671,
|
280 |
+
"grad_norm": 0.7193703651428223,
|
281 |
+
"learning_rate": 3.2247403210576016e-05,
|
282 |
+
"loss": 1.0308,
|
283 |
+
"step": 380
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 1.1019108280254777,
|
287 |
+
"grad_norm": 3.1680991649627686,
|
288 |
+
"learning_rate": 3.17752596789424e-05,
|
289 |
+
"loss": 0.8272,
|
290 |
+
"step": 390
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.1302193913658882,
|
294 |
+
"grad_norm": 1.0723551511764526,
|
295 |
+
"learning_rate": 3.130311614730878e-05,
|
296 |
+
"loss": 1.02,
|
297 |
+
"step": 400
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 1.1585279547062988,
|
301 |
+
"grad_norm": 0.7101927995681763,
|
302 |
+
"learning_rate": 3.083097261567517e-05,
|
303 |
+
"loss": 0.942,
|
304 |
+
"step": 410
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 1.186836518046709,
|
308 |
+
"grad_norm": 1.9213780164718628,
|
309 |
+
"learning_rate": 3.0358829084041553e-05,
|
310 |
+
"loss": 0.8884,
|
311 |
+
"step": 420
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.2151450813871196,
|
315 |
+
"grad_norm": 4.313545227050781,
|
316 |
+
"learning_rate": 2.9886685552407934e-05,
|
317 |
+
"loss": 1.055,
|
318 |
+
"step": 430
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 1.2434536447275302,
|
322 |
+
"grad_norm": 1.1699409484863281,
|
323 |
+
"learning_rate": 2.9414542020774316e-05,
|
324 |
+
"loss": 0.7015,
|
325 |
+
"step": 440
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 1.2717622080679405,
|
329 |
+
"grad_norm": 0.7084372043609619,
|
330 |
+
"learning_rate": 2.8942398489140697e-05,
|
331 |
+
"loss": 0.8342,
|
332 |
+
"step": 450
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 1.300070771408351,
|
336 |
+
"grad_norm": 1.1760873794555664,
|
337 |
+
"learning_rate": 2.8470254957507082e-05,
|
338 |
+
"loss": 0.7567,
|
339 |
+
"step": 460
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.3283793347487616,
|
343 |
+
"grad_norm": 6.9120192527771,
|
344 |
+
"learning_rate": 2.799811142587347e-05,
|
345 |
+
"loss": 0.8156,
|
346 |
+
"step": 470
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.356687898089172,
|
350 |
+
"grad_norm": 0.7138371467590332,
|
351 |
+
"learning_rate": 2.7525967894239852e-05,
|
352 |
+
"loss": 0.8024,
|
353 |
+
"step": 480
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.3849964614295824,
|
357 |
+
"grad_norm": 0.6835730075836182,
|
358 |
+
"learning_rate": 2.7053824362606233e-05,
|
359 |
+
"loss": 0.7977,
|
360 |
+
"step": 490
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 1.413305024769993,
|
364 |
+
"grad_norm": 6.436087608337402,
|
365 |
+
"learning_rate": 2.6581680830972615e-05,
|
366 |
+
"loss": 0.8102,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 1.4416135881104033,
|
371 |
+
"grad_norm": 3.4291305541992188,
|
372 |
+
"learning_rate": 2.6109537299339e-05,
|
373 |
+
"loss": 0.7643,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 1.4699221514508138,
|
378 |
+
"grad_norm": 0.9250390529632568,
|
379 |
+
"learning_rate": 2.563739376770538e-05,
|
380 |
+
"loss": 0.8417,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.4982307147912244,
|
385 |
+
"grad_norm": 3.264242649078369,
|
386 |
+
"learning_rate": 2.516525023607177e-05,
|
387 |
+
"loss": 0.9988,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 1.5265392781316347,
|
392 |
+
"grad_norm": 1.8651660680770874,
|
393 |
+
"learning_rate": 2.469310670443815e-05,
|
394 |
+
"loss": 0.8652,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.5548478414720452,
|
399 |
+
"grad_norm": 5.576003074645996,
|
400 |
+
"learning_rate": 2.4220963172804533e-05,
|
401 |
+
"loss": 0.7481,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 1.5831564048124558,
|
406 |
+
"grad_norm": 4.8853302001953125,
|
407 |
+
"learning_rate": 2.3748819641170918e-05,
|
408 |
+
"loss": 0.7857,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 1.611464968152866,
|
413 |
+
"grad_norm": 2.0183866024017334,
|
414 |
+
"learning_rate": 2.3276676109537303e-05,
|
415 |
+
"loss": 0.607,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.6397735314932769,
|
420 |
+
"grad_norm": 3.133368730545044,
|
421 |
+
"learning_rate": 2.2804532577903684e-05,
|
422 |
+
"loss": 0.8706,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 1.6680820948336872,
|
427 |
+
"grad_norm": 2.440894365310669,
|
428 |
+
"learning_rate": 2.2332389046270066e-05,
|
429 |
+
"loss": 0.8035,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 1.6963906581740975,
|
434 |
+
"grad_norm": 3.0257763862609863,
|
435 |
+
"learning_rate": 2.186024551463645e-05,
|
436 |
+
"loss": 1.1186,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.7246992215145083,
|
441 |
+
"grad_norm": 2.741161823272705,
|
442 |
+
"learning_rate": 2.1388101983002835e-05,
|
443 |
+
"loss": 1.0302,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.7530077848549186,
|
448 |
+
"grad_norm": 3.0165324211120605,
|
449 |
+
"learning_rate": 2.0915958451369217e-05,
|
450 |
+
"loss": 1.0235,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 1.7813163481953291,
|
455 |
+
"grad_norm": 1.8402531147003174,
|
456 |
+
"learning_rate": 2.0443814919735602e-05,
|
457 |
+
"loss": 0.8455,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 1.8096249115357397,
|
462 |
+
"grad_norm": 1.0427038669586182,
|
463 |
+
"learning_rate": 1.9971671388101983e-05,
|
464 |
+
"loss": 0.7868,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.83793347487615,
|
469 |
+
"grad_norm": 4.955197334289551,
|
470 |
+
"learning_rate": 1.9499527856468365e-05,
|
471 |
+
"loss": 0.8728,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 1.8662420382165605,
|
476 |
+
"grad_norm": 1.1331288814544678,
|
477 |
+
"learning_rate": 1.9027384324834753e-05,
|
478 |
+
"loss": 0.8719,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.894550601556971,
|
483 |
+
"grad_norm": 1.395735263824463,
|
484 |
+
"learning_rate": 1.8555240793201135e-05,
|
485 |
+
"loss": 0.8224,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.9228591648973814,
|
490 |
+
"grad_norm": 1.110823154449463,
|
491 |
+
"learning_rate": 1.8083097261567516e-05,
|
492 |
+
"loss": 0.6859,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 1.951167728237792,
|
497 |
+
"grad_norm": 1.224063754081726,
|
498 |
+
"learning_rate": 1.76109537299339e-05,
|
499 |
+
"loss": 0.79,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.9794762915782025,
|
504 |
+
"grad_norm": 1.4636934995651245,
|
505 |
+
"learning_rate": 1.7138810198300283e-05,
|
506 |
+
"loss": 0.9543,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 2.0,
|
511 |
+
"eval_loss": 0.8783606290817261,
|
512 |
+
"eval_runtime": 45.4943,
|
513 |
+
"eval_samples_per_second": 15.54,
|
514 |
+
"eval_steps_per_second": 1.956,
|
515 |
+
"step": 708
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 2.0056617126680822,
|
519 |
+
"grad_norm": 3.3927221298217773,
|
520 |
+
"learning_rate": 1.6666666666666667e-05,
|
521 |
+
"loss": 1.0075,
|
522 |
+
"step": 710
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 2.0339702760084926,
|
526 |
+
"grad_norm": 2.4237897396087646,
|
527 |
+
"learning_rate": 1.6194523135033052e-05,
|
528 |
+
"loss": 0.7245,
|
529 |
+
"step": 720
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 2.062278839348903,
|
533 |
+
"grad_norm": 0.9672299027442932,
|
534 |
+
"learning_rate": 1.5722379603399434e-05,
|
535 |
+
"loss": 0.7631,
|
536 |
+
"step": 730
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 2.0905874026893136,
|
540 |
+
"grad_norm": 2.908951997756958,
|
541 |
+
"learning_rate": 1.5250236071765817e-05,
|
542 |
+
"loss": 1.0795,
|
543 |
+
"step": 740
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 2.118895966029724,
|
547 |
+
"grad_norm": 3.8468856811523438,
|
548 |
+
"learning_rate": 1.4778092540132202e-05,
|
549 |
+
"loss": 0.6312,
|
550 |
+
"step": 750
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 2.1472045293701343,
|
554 |
+
"grad_norm": 1.352995753288269,
|
555 |
+
"learning_rate": 1.4305949008498584e-05,
|
556 |
+
"loss": 0.8062,
|
557 |
+
"step": 760
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 2.175513092710545,
|
561 |
+
"grad_norm": 1.1038804054260254,
|
562 |
+
"learning_rate": 1.3833805476864967e-05,
|
563 |
+
"loss": 0.8566,
|
564 |
+
"step": 770
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 2.2038216560509554,
|
568 |
+
"grad_norm": 1.2990654706954956,
|
569 |
+
"learning_rate": 1.3361661945231352e-05,
|
570 |
+
"loss": 0.7693,
|
571 |
+
"step": 780
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 2.2321302193913657,
|
575 |
+
"grad_norm": 2.6625759601593018,
|
576 |
+
"learning_rate": 1.2889518413597735e-05,
|
577 |
+
"loss": 0.6126,
|
578 |
+
"step": 790
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 2.2604387827317765,
|
582 |
+
"grad_norm": 5.676569938659668,
|
583 |
+
"learning_rate": 1.2417374881964118e-05,
|
584 |
+
"loss": 0.7988,
|
585 |
+
"step": 800
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 2.2887473460721868,
|
589 |
+
"grad_norm": 2.953200340270996,
|
590 |
+
"learning_rate": 1.1945231350330501e-05,
|
591 |
+
"loss": 0.6122,
|
592 |
+
"step": 810
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 2.3170559094125975,
|
596 |
+
"grad_norm": 2.253474473953247,
|
597 |
+
"learning_rate": 1.1473087818696884e-05,
|
598 |
+
"loss": 1.1378,
|
599 |
+
"step": 820
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 2.345364472753008,
|
603 |
+
"grad_norm": 1.5058188438415527,
|
604 |
+
"learning_rate": 1.1000944287063268e-05,
|
605 |
+
"loss": 0.8095,
|
606 |
+
"step": 830
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 2.373673036093418,
|
610 |
+
"grad_norm": 0.8082104325294495,
|
611 |
+
"learning_rate": 1.0528800755429651e-05,
|
612 |
+
"loss": 0.5857,
|
613 |
+
"step": 840
|
614 |
+
},
|
615 |
+
{
|
616 |
+
"epoch": 2.401981599433829,
|
617 |
+
"grad_norm": 2.0527071952819824,
|
618 |
+
"learning_rate": 1.0056657223796034e-05,
|
619 |
+
"loss": 0.9159,
|
620 |
+
"step": 850
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.4302901627742393,
|
624 |
+
"grad_norm": 4.757397651672363,
|
625 |
+
"learning_rate": 9.584513692162419e-06,
|
626 |
+
"loss": 0.7801,
|
627 |
+
"step": 860
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 2.4585987261146496,
|
631 |
+
"grad_norm": 2.750612735748291,
|
632 |
+
"learning_rate": 9.1123701605288e-06,
|
633 |
+
"loss": 0.7435,
|
634 |
+
"step": 870
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 2.4869072894550603,
|
638 |
+
"grad_norm": 0.7405831813812256,
|
639 |
+
"learning_rate": 8.640226628895184e-06,
|
640 |
+
"loss": 0.7491,
|
641 |
+
"step": 880
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 2.5152158527954707,
|
645 |
+
"grad_norm": 3.5916926860809326,
|
646 |
+
"learning_rate": 8.168083097261569e-06,
|
647 |
+
"loss": 0.896,
|
648 |
+
"step": 890
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 2.543524416135881,
|
652 |
+
"grad_norm": 2.436352252960205,
|
653 |
+
"learning_rate": 7.69593956562795e-06,
|
654 |
+
"loss": 0.7018,
|
655 |
+
"step": 900
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 2.5718329794762917,
|
659 |
+
"grad_norm": 0.8077714443206787,
|
660 |
+
"learning_rate": 7.223796033994334e-06,
|
661 |
+
"loss": 1.1473,
|
662 |
+
"step": 910
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.600141542816702,
|
666 |
+
"grad_norm": 2.01489520072937,
|
667 |
+
"learning_rate": 6.751652502360718e-06,
|
668 |
+
"loss": 0.8547,
|
669 |
+
"step": 920
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.6284501061571124,
|
673 |
+
"grad_norm": 0.9167873859405518,
|
674 |
+
"learning_rate": 6.279508970727101e-06,
|
675 |
+
"loss": 0.9682,
|
676 |
+
"step": 930
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.656758669497523,
|
680 |
+
"grad_norm": 0.8447218537330627,
|
681 |
+
"learning_rate": 5.807365439093485e-06,
|
682 |
+
"loss": 0.5817,
|
683 |
+
"step": 940
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 2.6850672328379335,
|
687 |
+
"grad_norm": 1.5092198848724365,
|
688 |
+
"learning_rate": 5.335221907459869e-06,
|
689 |
+
"loss": 1.2028,
|
690 |
+
"step": 950
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 2.713375796178344,
|
694 |
+
"grad_norm": 2.282589912414551,
|
695 |
+
"learning_rate": 4.863078375826251e-06,
|
696 |
+
"loss": 0.6571,
|
697 |
+
"step": 960
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 2.7416843595187546,
|
701 |
+
"grad_norm": 1.5408430099487305,
|
702 |
+
"learning_rate": 4.390934844192634e-06,
|
703 |
+
"loss": 0.6459,
|
704 |
+
"step": 970
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.769992922859165,
|
708 |
+
"grad_norm": 5.208029270172119,
|
709 |
+
"learning_rate": 3.918791312559018e-06,
|
710 |
+
"loss": 0.8532,
|
711 |
+
"step": 980
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 2.798301486199575,
|
715 |
+
"grad_norm": 1.4328051805496216,
|
716 |
+
"learning_rate": 3.4466477809254016e-06,
|
717 |
+
"loss": 0.8735,
|
718 |
+
"step": 990
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 2.826610049539986,
|
722 |
+
"grad_norm": 2.1999919414520264,
|
723 |
+
"learning_rate": 2.9745042492917848e-06,
|
724 |
+
"loss": 1.0141,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 2.8549186128803963,
|
729 |
+
"grad_norm": 1.0183438062667847,
|
730 |
+
"learning_rate": 2.502360717658168e-06,
|
731 |
+
"loss": 0.7974,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 2.8832271762208066,
|
736 |
+
"grad_norm": 3.3981127738952637,
|
737 |
+
"learning_rate": 2.0302171860245516e-06,
|
738 |
+
"loss": 0.8471,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 2.9115357395612174,
|
743 |
+
"grad_norm": 2.758704662322998,
|
744 |
+
"learning_rate": 1.5580736543909348e-06,
|
745 |
+
"loss": 0.8021,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.9398443029016277,
|
750 |
+
"grad_norm": 0.8233171105384827,
|
751 |
+
"learning_rate": 1.0859301227573182e-06,
|
752 |
+
"loss": 0.7704,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 2.968152866242038,
|
757 |
+
"grad_norm": 3.0792815685272217,
|
758 |
+
"learning_rate": 6.137865911237016e-07,
|
759 |
+
"loss": 0.6247,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 2.9936305732484074,
|
764 |
+
"eval_loss": 0.861165463924408,
|
765 |
+
"eval_runtime": 45.4972,
|
766 |
+
"eval_samples_per_second": 15.539,
|
767 |
+
"eval_steps_per_second": 1.956,
|
768 |
+
"step": 1059
|
769 |
+
}
|
770 |
+
],
|
771 |
+
"logging_steps": 10,
|
772 |
+
"max_steps": 1059,
|
773 |
+
"num_input_tokens_seen": 0,
|
774 |
+
"num_train_epochs": 3,
|
775 |
+
"save_steps": 500,
|
776 |
+
"stateful_callbacks": {
|
777 |
+
"TrainerControl": {
|
778 |
+
"args": {
|
779 |
+
"should_epoch_stop": false,
|
780 |
+
"should_evaluate": false,
|
781 |
+
"should_log": false,
|
782 |
+
"should_save": true,
|
783 |
+
"should_training_stop": true
|
784 |
+
},
|
785 |
+
"attributes": {}
|
786 |
+
}
|
787 |
+
},
|
788 |
+
"total_flos": 1.95177370947158e+17,
|
789 |
+
"train_batch_size": 2,
|
790 |
+
"trial_name": null,
|
791 |
+
"trial_params": null
|
792 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c49fdf0e3c7b9d2b07195d6f5fd8e871220a5835fa676a5207ef89087b6daff
|
3 |
+
size 5304
|