full icliniq dataset finetune (#1)
Browse files- full icliniq dataset finetune (a88e5ee09d3661b68808b35bd5d4ea9cee480b2a)
Co-authored-by: Dev <devchuriwala@users.noreply.huggingface.co>
- README.md +184 -39
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1202 -0
- training_args.bin +2 -2
README.md
CHANGED
@@ -1,57 +1,202 @@
|
|
1 |
---
|
2 |
base_model: google/gemma-2b
|
3 |
-
library_name:
|
4 |
-
model_name: gemma2b-ft-iclinq
|
5 |
-
tags:
|
6 |
-
- generated_from_trainer
|
7 |
-
- trl
|
8 |
-
- sft
|
9 |
-
licence: license
|
10 |
---
|
11 |
|
12 |
-
# Model Card for
|
13 |
|
14 |
-
|
15 |
-
It has been trained using [TRL](https://github.com/huggingface/trl).
|
16 |
|
17 |
-
## Quick start
|
18 |
|
19 |
-
```python
|
20 |
-
from transformers import pipeline
|
21 |
|
22 |
-
|
23 |
-
generator = pipeline("text-generation", model="jash6/results-2", device="cuda")
|
24 |
-
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
25 |
-
print(output["generated_text"])
|
26 |
-
```
|
27 |
|
28 |
-
|
29 |
|
|
|
30 |
|
31 |
|
32 |
-
This model was trained with SFT.
|
33 |
|
34 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
35 |
|
36 |
-
|
37 |
-
- Transformers: 4.46.3
|
38 |
-
- Pytorch: 2.2.0
|
39 |
-
- Datasets: 3.1.0
|
40 |
-
- Tokenizers: 0.20.4
|
41 |
|
42 |
-
|
43 |
|
|
|
44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
|
46 |
-
|
47 |
-
|
48 |
-
```bibtex
|
49 |
-
@misc{vonwerra2022trl,
|
50 |
-
title = {{TRL: Transformer Reinforcement Learning}},
|
51 |
-
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
|
52 |
-
year = 2020,
|
53 |
-
journal = {GitHub repository},
|
54 |
-
publisher = {GitHub},
|
55 |
-
howpublished = {\url{https://github.com/huggingface/trl}}
|
56 |
-
}
|
57 |
-
```
|
|
|
1 |
---
|
2 |
base_model: google/gemma-2b
|
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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
adapter_config.json
CHANGED
@@ -20,11 +20,11 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"gate_proj",
|
24 |
"v_proj",
|
25 |
-
"up_proj",
|
26 |
-
"k_proj",
|
27 |
"q_proj",
|
|
|
|
|
|
|
28 |
"o_proj"
|
29 |
],
|
30 |
"task_type": "CAUSAL_LM",
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
|
|
23 |
"v_proj",
|
|
|
|
|
24 |
"q_proj",
|
25 |
+
"k_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"up_proj",
|
28 |
"o_proj"
|
29 |
],
|
30 |
"task_type": "CAUSAL_LM",
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14331480
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05ec9512d068cc5c7f2376de462eaf86f3678a7ef989d959fd464ad562ced5bd
|
3 |
size 14331480
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:65481820a18e53afd9b92fa8ed1ef317a6b48ce02a409c7a018ae0552b46ac81
|
3 |
+
size 28734458
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8ff545097dd45f4e0976ceb12627a2db85a8cda9404b0b67df2f4c97490e22c
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa275e0c3e75f7e8222fcb1c9374e42a40ab63cd9b97d2e82dc002aa81170f4b
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,1202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 4180,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.005980861244019139,
|
13 |
+
"grad_norm": 3.412325382232666,
|
14 |
+
"learning_rate": 0.0002,
|
15 |
+
"loss": 3.3895,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.011961722488038277,
|
20 |
+
"grad_norm": 9.85770034790039,
|
21 |
+
"learning_rate": 0.0002,
|
22 |
+
"loss": 2.6708,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.017942583732057416,
|
27 |
+
"grad_norm": 1.8022898435592651,
|
28 |
+
"learning_rate": 0.0002,
|
29 |
+
"loss": 2.4984,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.023923444976076555,
|
34 |
+
"grad_norm": 1.3909275531768799,
|
35 |
+
"learning_rate": 0.0002,
|
36 |
+
"loss": 2.4433,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.029904306220095694,
|
41 |
+
"grad_norm": 1.3175278902053833,
|
42 |
+
"learning_rate": 0.0002,
|
43 |
+
"loss": 2.4068,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.03588516746411483,
|
48 |
+
"grad_norm": 2.1698503494262695,
|
49 |
+
"learning_rate": 0.0002,
|
50 |
+
"loss": 2.3572,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.041866028708133975,
|
55 |
+
"grad_norm": 3.156744956970215,
|
56 |
+
"learning_rate": 0.0002,
|
57 |
+
"loss": 2.3665,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.04784688995215311,
|
62 |
+
"grad_norm": 1.0966124534606934,
|
63 |
+
"learning_rate": 0.0002,
|
64 |
+
"loss": 2.3631,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.05382775119617225,
|
69 |
+
"grad_norm": 1.5008922815322876,
|
70 |
+
"learning_rate": 0.0002,
|
71 |
+
"loss": 2.3375,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.05980861244019139,
|
76 |
+
"grad_norm": 1.0263694524765015,
|
77 |
+
"learning_rate": 0.0002,
|
78 |
+
"loss": 2.3668,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.06578947368421052,
|
83 |
+
"grad_norm": 0.9050750136375427,
|
84 |
+
"learning_rate": 0.0002,
|
85 |
+
"loss": 2.2953,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.07177033492822966,
|
90 |
+
"grad_norm": 1.1184417009353638,
|
91 |
+
"learning_rate": 0.0002,
|
92 |
+
"loss": 2.3101,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.07775119617224881,
|
97 |
+
"grad_norm": 1.2090150117874146,
|
98 |
+
"learning_rate": 0.0002,
|
99 |
+
"loss": 2.3292,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.08373205741626795,
|
104 |
+
"grad_norm": 2.347069263458252,
|
105 |
+
"learning_rate": 0.0002,
|
106 |
+
"loss": 2.3108,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.08971291866028708,
|
111 |
+
"grad_norm": 1.3362812995910645,
|
112 |
+
"learning_rate": 0.0002,
|
113 |
+
"loss": 2.2901,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.09569377990430622,
|
118 |
+
"grad_norm": 0.906521201133728,
|
119 |
+
"learning_rate": 0.0002,
|
120 |
+
"loss": 2.3137,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.10167464114832536,
|
125 |
+
"grad_norm": 0.8491584658622742,
|
126 |
+
"learning_rate": 0.0002,
|
127 |
+
"loss": 2.2915,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.1076555023923445,
|
132 |
+
"grad_norm": 0.9403386116027832,
|
133 |
+
"learning_rate": 0.0002,
|
134 |
+
"loss": 2.2874,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.11363636363636363,
|
139 |
+
"grad_norm": 0.7675734758377075,
|
140 |
+
"learning_rate": 0.0002,
|
141 |
+
"loss": 2.2536,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.11961722488038277,
|
146 |
+
"grad_norm": 0.8333762288093567,
|
147 |
+
"learning_rate": 0.0002,
|
148 |
+
"loss": 2.3332,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.1255980861244019,
|
153 |
+
"grad_norm": 0.8489273190498352,
|
154 |
+
"learning_rate": 0.0002,
|
155 |
+
"loss": 2.3112,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.13157894736842105,
|
160 |
+
"grad_norm": 1.2032957077026367,
|
161 |
+
"learning_rate": 0.0002,
|
162 |
+
"loss": 2.2614,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.1375598086124402,
|
167 |
+
"grad_norm": 0.8014360070228577,
|
168 |
+
"learning_rate": 0.0002,
|
169 |
+
"loss": 2.3014,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.14354066985645933,
|
174 |
+
"grad_norm": 0.8756849765777588,
|
175 |
+
"learning_rate": 0.0002,
|
176 |
+
"loss": 2.2626,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.14952153110047847,
|
181 |
+
"grad_norm": 1.0479413270950317,
|
182 |
+
"learning_rate": 0.0002,
|
183 |
+
"loss": 2.2487,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.15550239234449761,
|
188 |
+
"grad_norm": 1.6525335311889648,
|
189 |
+
"learning_rate": 0.0002,
|
190 |
+
"loss": 2.2643,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.16148325358851676,
|
195 |
+
"grad_norm": 0.7974942922592163,
|
196 |
+
"learning_rate": 0.0002,
|
197 |
+
"loss": 2.2983,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.1674641148325359,
|
202 |
+
"grad_norm": 0.8229785561561584,
|
203 |
+
"learning_rate": 0.0002,
|
204 |
+
"loss": 2.27,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.173444976076555,
|
209 |
+
"grad_norm": 0.9374330639839172,
|
210 |
+
"learning_rate": 0.0002,
|
211 |
+
"loss": 2.2322,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.17942583732057416,
|
216 |
+
"grad_norm": 0.8249229788780212,
|
217 |
+
"learning_rate": 0.0002,
|
218 |
+
"loss": 2.3029,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.1854066985645933,
|
223 |
+
"grad_norm": 0.8934934735298157,
|
224 |
+
"learning_rate": 0.0002,
|
225 |
+
"loss": 2.2204,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.19138755980861244,
|
230 |
+
"grad_norm": 0.8451672196388245,
|
231 |
+
"learning_rate": 0.0002,
|
232 |
+
"loss": 2.2576,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.19736842105263158,
|
237 |
+
"grad_norm": 0.8721255660057068,
|
238 |
+
"learning_rate": 0.0002,
|
239 |
+
"loss": 2.2357,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.20334928229665072,
|
244 |
+
"grad_norm": 0.9069824814796448,
|
245 |
+
"learning_rate": 0.0002,
|
246 |
+
"loss": 2.2624,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.20933014354066987,
|
251 |
+
"grad_norm": 0.8029842972755432,
|
252 |
+
"learning_rate": 0.0002,
|
253 |
+
"loss": 2.2697,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.215311004784689,
|
258 |
+
"grad_norm": 3.0026650428771973,
|
259 |
+
"learning_rate": 0.0002,
|
260 |
+
"loss": 2.2058,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.22129186602870812,
|
265 |
+
"grad_norm": 0.8026193380355835,
|
266 |
+
"learning_rate": 0.0002,
|
267 |
+
"loss": 2.2537,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.22727272727272727,
|
272 |
+
"grad_norm": 0.770354688167572,
|
273 |
+
"learning_rate": 0.0002,
|
274 |
+
"loss": 2.3118,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.2332535885167464,
|
279 |
+
"grad_norm": 0.822100043296814,
|
280 |
+
"learning_rate": 0.0002,
|
281 |
+
"loss": 2.2443,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.23923444976076555,
|
286 |
+
"grad_norm": 0.8492611050605774,
|
287 |
+
"learning_rate": 0.0002,
|
288 |
+
"loss": 2.2295,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.2452153110047847,
|
293 |
+
"grad_norm": 0.7530927658081055,
|
294 |
+
"learning_rate": 0.0002,
|
295 |
+
"loss": 2.2321,
|
296 |
+
"step": 1025
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.2511961722488038,
|
300 |
+
"grad_norm": 0.7999204993247986,
|
301 |
+
"learning_rate": 0.0002,
|
302 |
+
"loss": 2.2462,
|
303 |
+
"step": 1050
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.25717703349282295,
|
307 |
+
"grad_norm": 0.765783965587616,
|
308 |
+
"learning_rate": 0.0002,
|
309 |
+
"loss": 2.2362,
|
310 |
+
"step": 1075
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.2631578947368421,
|
314 |
+
"grad_norm": 1.9569802284240723,
|
315 |
+
"learning_rate": 0.0002,
|
316 |
+
"loss": 2.2309,
|
317 |
+
"step": 1100
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.26913875598086123,
|
321 |
+
"grad_norm": 0.8249408602714539,
|
322 |
+
"learning_rate": 0.0002,
|
323 |
+
"loss": 2.2433,
|
324 |
+
"step": 1125
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.2751196172248804,
|
328 |
+
"grad_norm": 0.848108172416687,
|
329 |
+
"learning_rate": 0.0002,
|
330 |
+
"loss": 2.2013,
|
331 |
+
"step": 1150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.2811004784688995,
|
335 |
+
"grad_norm": 0.8488432765007019,
|
336 |
+
"learning_rate": 0.0002,
|
337 |
+
"loss": 2.2393,
|
338 |
+
"step": 1175
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.28708133971291866,
|
342 |
+
"grad_norm": 0.7786160111427307,
|
343 |
+
"learning_rate": 0.0002,
|
344 |
+
"loss": 2.2247,
|
345 |
+
"step": 1200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.2930622009569378,
|
349 |
+
"grad_norm": 2.2969539165496826,
|
350 |
+
"learning_rate": 0.0002,
|
351 |
+
"loss": 2.2523,
|
352 |
+
"step": 1225
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.29904306220095694,
|
356 |
+
"grad_norm": 0.8230640292167664,
|
357 |
+
"learning_rate": 0.0002,
|
358 |
+
"loss": 2.2327,
|
359 |
+
"step": 1250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.3050239234449761,
|
363 |
+
"grad_norm": 0.8330740928649902,
|
364 |
+
"learning_rate": 0.0002,
|
365 |
+
"loss": 2.2306,
|
366 |
+
"step": 1275
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.31100478468899523,
|
370 |
+
"grad_norm": 0.8412021994590759,
|
371 |
+
"learning_rate": 0.0002,
|
372 |
+
"loss": 2.2299,
|
373 |
+
"step": 1300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.31698564593301437,
|
377 |
+
"grad_norm": 0.8107555508613586,
|
378 |
+
"learning_rate": 0.0002,
|
379 |
+
"loss": 2.264,
|
380 |
+
"step": 1325
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.3229665071770335,
|
384 |
+
"grad_norm": 2.283083200454712,
|
385 |
+
"learning_rate": 0.0002,
|
386 |
+
"loss": 2.2085,
|
387 |
+
"step": 1350
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.32894736842105265,
|
391 |
+
"grad_norm": 0.7781470417976379,
|
392 |
+
"learning_rate": 0.0002,
|
393 |
+
"loss": 2.2123,
|
394 |
+
"step": 1375
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.3349282296650718,
|
398 |
+
"grad_norm": 0.7660220265388489,
|
399 |
+
"learning_rate": 0.0002,
|
400 |
+
"loss": 2.2525,
|
401 |
+
"step": 1400
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.3409090909090909,
|
405 |
+
"grad_norm": 0.8373708724975586,
|
406 |
+
"learning_rate": 0.0002,
|
407 |
+
"loss": 2.2142,
|
408 |
+
"step": 1425
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.34688995215311,
|
412 |
+
"grad_norm": 0.7727882862091064,
|
413 |
+
"learning_rate": 0.0002,
|
414 |
+
"loss": 2.1824,
|
415 |
+
"step": 1450
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.35287081339712917,
|
419 |
+
"grad_norm": 0.9092174768447876,
|
420 |
+
"learning_rate": 0.0002,
|
421 |
+
"loss": 2.1939,
|
422 |
+
"step": 1475
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.3588516746411483,
|
426 |
+
"grad_norm": 0.8021971583366394,
|
427 |
+
"learning_rate": 0.0002,
|
428 |
+
"loss": 2.2175,
|
429 |
+
"step": 1500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.36483253588516745,
|
433 |
+
"grad_norm": 0.7922872304916382,
|
434 |
+
"learning_rate": 0.0002,
|
435 |
+
"loss": 2.2079,
|
436 |
+
"step": 1525
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.3708133971291866,
|
440 |
+
"grad_norm": 1.0842111110687256,
|
441 |
+
"learning_rate": 0.0002,
|
442 |
+
"loss": 2.1879,
|
443 |
+
"step": 1550
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.37679425837320574,
|
447 |
+
"grad_norm": 0.9562531113624573,
|
448 |
+
"learning_rate": 0.0002,
|
449 |
+
"loss": 2.1896,
|
450 |
+
"step": 1575
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.3827751196172249,
|
454 |
+
"grad_norm": 0.8320727348327637,
|
455 |
+
"learning_rate": 0.0002,
|
456 |
+
"loss": 2.2254,
|
457 |
+
"step": 1600
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.388755980861244,
|
461 |
+
"grad_norm": 0.80451899766922,
|
462 |
+
"learning_rate": 0.0002,
|
463 |
+
"loss": 2.2144,
|
464 |
+
"step": 1625
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.39473684210526316,
|
468 |
+
"grad_norm": 0.7288826704025269,
|
469 |
+
"learning_rate": 0.0002,
|
470 |
+
"loss": 2.2349,
|
471 |
+
"step": 1650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.4007177033492823,
|
475 |
+
"grad_norm": 0.8023431897163391,
|
476 |
+
"learning_rate": 0.0002,
|
477 |
+
"loss": 2.2037,
|
478 |
+
"step": 1675
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.40669856459330145,
|
482 |
+
"grad_norm": 0.8532123565673828,
|
483 |
+
"learning_rate": 0.0002,
|
484 |
+
"loss": 2.2314,
|
485 |
+
"step": 1700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.4126794258373206,
|
489 |
+
"grad_norm": 0.7851171493530273,
|
490 |
+
"learning_rate": 0.0002,
|
491 |
+
"loss": 2.185,
|
492 |
+
"step": 1725
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.41866028708133973,
|
496 |
+
"grad_norm": 0.8515769243240356,
|
497 |
+
"learning_rate": 0.0002,
|
498 |
+
"loss": 2.232,
|
499 |
+
"step": 1750
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.4246411483253589,
|
503 |
+
"grad_norm": 0.782311201095581,
|
504 |
+
"learning_rate": 0.0002,
|
505 |
+
"loss": 2.1859,
|
506 |
+
"step": 1775
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.430622009569378,
|
510 |
+
"grad_norm": 0.7590478658676147,
|
511 |
+
"learning_rate": 0.0002,
|
512 |
+
"loss": 2.1837,
|
513 |
+
"step": 1800
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.4366028708133971,
|
517 |
+
"grad_norm": 0.7843049168586731,
|
518 |
+
"learning_rate": 0.0002,
|
519 |
+
"loss": 2.2069,
|
520 |
+
"step": 1825
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.44258373205741625,
|
524 |
+
"grad_norm": 0.7173344492912292,
|
525 |
+
"learning_rate": 0.0002,
|
526 |
+
"loss": 2.1989,
|
527 |
+
"step": 1850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.4485645933014354,
|
531 |
+
"grad_norm": 0.8669169545173645,
|
532 |
+
"learning_rate": 0.0002,
|
533 |
+
"loss": 2.1941,
|
534 |
+
"step": 1875
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.45454545454545453,
|
538 |
+
"grad_norm": 1.45564603805542,
|
539 |
+
"learning_rate": 0.0002,
|
540 |
+
"loss": 2.2045,
|
541 |
+
"step": 1900
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.4605263157894737,
|
545 |
+
"grad_norm": 0.8243363499641418,
|
546 |
+
"learning_rate": 0.0002,
|
547 |
+
"loss": 2.1819,
|
548 |
+
"step": 1925
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.4665071770334928,
|
552 |
+
"grad_norm": 0.8817090392112732,
|
553 |
+
"learning_rate": 0.0002,
|
554 |
+
"loss": 2.1533,
|
555 |
+
"step": 1950
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.47248803827751196,
|
559 |
+
"grad_norm": 0.82022625207901,
|
560 |
+
"learning_rate": 0.0002,
|
561 |
+
"loss": 2.243,
|
562 |
+
"step": 1975
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.4784688995215311,
|
566 |
+
"grad_norm": 0.8863716721534729,
|
567 |
+
"learning_rate": 0.0002,
|
568 |
+
"loss": 2.1638,
|
569 |
+
"step": 2000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.48444976076555024,
|
573 |
+
"grad_norm": 0.7413605451583862,
|
574 |
+
"learning_rate": 0.0002,
|
575 |
+
"loss": 2.2107,
|
576 |
+
"step": 2025
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.4904306220095694,
|
580 |
+
"grad_norm": 0.8566731810569763,
|
581 |
+
"learning_rate": 0.0002,
|
582 |
+
"loss": 2.148,
|
583 |
+
"step": 2050
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.4964114832535885,
|
587 |
+
"grad_norm": 0.9010487794876099,
|
588 |
+
"learning_rate": 0.0002,
|
589 |
+
"loss": 2.1828,
|
590 |
+
"step": 2075
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.5023923444976076,
|
594 |
+
"grad_norm": 0.8197215795516968,
|
595 |
+
"learning_rate": 0.0002,
|
596 |
+
"loss": 2.1683,
|
597 |
+
"step": 2100
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.5083732057416268,
|
601 |
+
"grad_norm": 0.9159034490585327,
|
602 |
+
"learning_rate": 0.0002,
|
603 |
+
"loss": 2.2269,
|
604 |
+
"step": 2125
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.5143540669856459,
|
608 |
+
"grad_norm": 0.8410281538963318,
|
609 |
+
"learning_rate": 0.0002,
|
610 |
+
"loss": 2.2111,
|
611 |
+
"step": 2150
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.5203349282296651,
|
615 |
+
"grad_norm": 1.8926668167114258,
|
616 |
+
"learning_rate": 0.0002,
|
617 |
+
"loss": 2.1884,
|
618 |
+
"step": 2175
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.5263157894736842,
|
622 |
+
"grad_norm": 1.0006904602050781,
|
623 |
+
"learning_rate": 0.0002,
|
624 |
+
"loss": 2.192,
|
625 |
+
"step": 2200
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.5322966507177034,
|
629 |
+
"grad_norm": 0.7826078534126282,
|
630 |
+
"learning_rate": 0.0002,
|
631 |
+
"loss": 2.1894,
|
632 |
+
"step": 2225
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.5382775119617225,
|
636 |
+
"grad_norm": 0.8574744462966919,
|
637 |
+
"learning_rate": 0.0002,
|
638 |
+
"loss": 2.1854,
|
639 |
+
"step": 2250
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.5442583732057417,
|
643 |
+
"grad_norm": 0.9018279314041138,
|
644 |
+
"learning_rate": 0.0002,
|
645 |
+
"loss": 2.1725,
|
646 |
+
"step": 2275
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.5502392344497608,
|
650 |
+
"grad_norm": 1.3028662204742432,
|
651 |
+
"learning_rate": 0.0002,
|
652 |
+
"loss": 2.1944,
|
653 |
+
"step": 2300
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.55622009569378,
|
657 |
+
"grad_norm": 0.8321689367294312,
|
658 |
+
"learning_rate": 0.0002,
|
659 |
+
"loss": 2.1652,
|
660 |
+
"step": 2325
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.562200956937799,
|
664 |
+
"grad_norm": 0.7999281287193298,
|
665 |
+
"learning_rate": 0.0002,
|
666 |
+
"loss": 2.2041,
|
667 |
+
"step": 2350
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.5681818181818182,
|
671 |
+
"grad_norm": 4.9575629234313965,
|
672 |
+
"learning_rate": 0.0002,
|
673 |
+
"loss": 2.2154,
|
674 |
+
"step": 2375
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.5741626794258373,
|
678 |
+
"grad_norm": 0.7689957022666931,
|
679 |
+
"learning_rate": 0.0002,
|
680 |
+
"loss": 2.1695,
|
681 |
+
"step": 2400
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.5801435406698564,
|
685 |
+
"grad_norm": 0.9012035131454468,
|
686 |
+
"learning_rate": 0.0002,
|
687 |
+
"loss": 2.1557,
|
688 |
+
"step": 2425
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.5861244019138756,
|
692 |
+
"grad_norm": 0.8276737928390503,
|
693 |
+
"learning_rate": 0.0002,
|
694 |
+
"loss": 2.1906,
|
695 |
+
"step": 2450
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.5921052631578947,
|
699 |
+
"grad_norm": 0.9128056168556213,
|
700 |
+
"learning_rate": 0.0002,
|
701 |
+
"loss": 2.1445,
|
702 |
+
"step": 2475
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.5980861244019139,
|
706 |
+
"grad_norm": 0.8623008131980896,
|
707 |
+
"learning_rate": 0.0002,
|
708 |
+
"loss": 2.1852,
|
709 |
+
"step": 2500
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.604066985645933,
|
713 |
+
"grad_norm": 0.7866010665893555,
|
714 |
+
"learning_rate": 0.0002,
|
715 |
+
"loss": 2.173,
|
716 |
+
"step": 2525
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.6100478468899522,
|
720 |
+
"grad_norm": 0.8097877502441406,
|
721 |
+
"learning_rate": 0.0002,
|
722 |
+
"loss": 2.1324,
|
723 |
+
"step": 2550
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.6160287081339713,
|
727 |
+
"grad_norm": 0.8153032660484314,
|
728 |
+
"learning_rate": 0.0002,
|
729 |
+
"loss": 2.1271,
|
730 |
+
"step": 2575
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.6220095693779905,
|
734 |
+
"grad_norm": 0.7427578568458557,
|
735 |
+
"learning_rate": 0.0002,
|
736 |
+
"loss": 2.1617,
|
737 |
+
"step": 2600
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.6279904306220095,
|
741 |
+
"grad_norm": 0.8749725222587585,
|
742 |
+
"learning_rate": 0.0002,
|
743 |
+
"loss": 2.1961,
|
744 |
+
"step": 2625
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.6339712918660287,
|
748 |
+
"grad_norm": 0.7804417610168457,
|
749 |
+
"learning_rate": 0.0002,
|
750 |
+
"loss": 2.1782,
|
751 |
+
"step": 2650
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.6399521531100478,
|
755 |
+
"grad_norm": 0.8692734837532043,
|
756 |
+
"learning_rate": 0.0002,
|
757 |
+
"loss": 2.1852,
|
758 |
+
"step": 2675
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.645933014354067,
|
762 |
+
"grad_norm": 0.8000411987304688,
|
763 |
+
"learning_rate": 0.0002,
|
764 |
+
"loss": 2.1628,
|
765 |
+
"step": 2700
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.6519138755980861,
|
769 |
+
"grad_norm": 0.9027504324913025,
|
770 |
+
"learning_rate": 0.0002,
|
771 |
+
"loss": 2.1666,
|
772 |
+
"step": 2725
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.6578947368421053,
|
776 |
+
"grad_norm": 0.8674067854881287,
|
777 |
+
"learning_rate": 0.0002,
|
778 |
+
"loss": 2.1394,
|
779 |
+
"step": 2750
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.6638755980861244,
|
783 |
+
"grad_norm": 1.3791645765304565,
|
784 |
+
"learning_rate": 0.0002,
|
785 |
+
"loss": 2.1626,
|
786 |
+
"step": 2775
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.6698564593301436,
|
790 |
+
"grad_norm": 0.8177993297576904,
|
791 |
+
"learning_rate": 0.0002,
|
792 |
+
"loss": 2.1664,
|
793 |
+
"step": 2800
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.6758373205741627,
|
797 |
+
"grad_norm": 0.8040952682495117,
|
798 |
+
"learning_rate": 0.0002,
|
799 |
+
"loss": 2.1603,
|
800 |
+
"step": 2825
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.6818181818181818,
|
804 |
+
"grad_norm": 0.8698276281356812,
|
805 |
+
"learning_rate": 0.0002,
|
806 |
+
"loss": 2.2068,
|
807 |
+
"step": 2850
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.687799043062201,
|
811 |
+
"grad_norm": 0.8038722276687622,
|
812 |
+
"learning_rate": 0.0002,
|
813 |
+
"loss": 2.1528,
|
814 |
+
"step": 2875
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.69377990430622,
|
818 |
+
"grad_norm": 0.8705615401268005,
|
819 |
+
"learning_rate": 0.0002,
|
820 |
+
"loss": 2.1538,
|
821 |
+
"step": 2900
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.6997607655502392,
|
825 |
+
"grad_norm": 0.9985973834991455,
|
826 |
+
"learning_rate": 0.0002,
|
827 |
+
"loss": 2.1686,
|
828 |
+
"step": 2925
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.7057416267942583,
|
832 |
+
"grad_norm": 0.7473865747451782,
|
833 |
+
"learning_rate": 0.0002,
|
834 |
+
"loss": 2.2257,
|
835 |
+
"step": 2950
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.7117224880382775,
|
839 |
+
"grad_norm": 0.8028366565704346,
|
840 |
+
"learning_rate": 0.0002,
|
841 |
+
"loss": 2.1712,
|
842 |
+
"step": 2975
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.7177033492822966,
|
846 |
+
"grad_norm": 0.767857551574707,
|
847 |
+
"learning_rate": 0.0002,
|
848 |
+
"loss": 2.1782,
|
849 |
+
"step": 3000
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.7236842105263158,
|
853 |
+
"grad_norm": 0.7830066680908203,
|
854 |
+
"learning_rate": 0.0002,
|
855 |
+
"loss": 2.1488,
|
856 |
+
"step": 3025
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.7296650717703349,
|
860 |
+
"grad_norm": 0.8238586783409119,
|
861 |
+
"learning_rate": 0.0002,
|
862 |
+
"loss": 2.1588,
|
863 |
+
"step": 3050
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.7356459330143541,
|
867 |
+
"grad_norm": 0.7727087140083313,
|
868 |
+
"learning_rate": 0.0002,
|
869 |
+
"loss": 2.1398,
|
870 |
+
"step": 3075
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.7416267942583732,
|
874 |
+
"grad_norm": 0.8918077945709229,
|
875 |
+
"learning_rate": 0.0002,
|
876 |
+
"loss": 2.1829,
|
877 |
+
"step": 3100
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.7476076555023924,
|
881 |
+
"grad_norm": 1.202504277229309,
|
882 |
+
"learning_rate": 0.0002,
|
883 |
+
"loss": 2.1784,
|
884 |
+
"step": 3125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.7535885167464115,
|
888 |
+
"grad_norm": 0.8316906094551086,
|
889 |
+
"learning_rate": 0.0002,
|
890 |
+
"loss": 2.1806,
|
891 |
+
"step": 3150
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.7595693779904307,
|
895 |
+
"grad_norm": 0.7766339182853699,
|
896 |
+
"learning_rate": 0.0002,
|
897 |
+
"loss": 2.1577,
|
898 |
+
"step": 3175
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.7655502392344498,
|
902 |
+
"grad_norm": 0.9902828931808472,
|
903 |
+
"learning_rate": 0.0002,
|
904 |
+
"loss": 2.1519,
|
905 |
+
"step": 3200
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.7715311004784688,
|
909 |
+
"grad_norm": 0.895126461982727,
|
910 |
+
"learning_rate": 0.0002,
|
911 |
+
"loss": 2.1712,
|
912 |
+
"step": 3225
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.777511961722488,
|
916 |
+
"grad_norm": 0.8055546879768372,
|
917 |
+
"learning_rate": 0.0002,
|
918 |
+
"loss": 2.1814,
|
919 |
+
"step": 3250
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.7834928229665071,
|
923 |
+
"grad_norm": 0.7867780327796936,
|
924 |
+
"learning_rate": 0.0002,
|
925 |
+
"loss": 2.1507,
|
926 |
+
"step": 3275
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.7894736842105263,
|
930 |
+
"grad_norm": 0.8065791726112366,
|
931 |
+
"learning_rate": 0.0002,
|
932 |
+
"loss": 2.2211,
|
933 |
+
"step": 3300
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.7954545454545454,
|
937 |
+
"grad_norm": 1.5913640260696411,
|
938 |
+
"learning_rate": 0.0002,
|
939 |
+
"loss": 2.2257,
|
940 |
+
"step": 3325
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.8014354066985646,
|
944 |
+
"grad_norm": 0.7849767208099365,
|
945 |
+
"learning_rate": 0.0002,
|
946 |
+
"loss": 2.1893,
|
947 |
+
"step": 3350
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.8074162679425837,
|
951 |
+
"grad_norm": 0.7633355855941772,
|
952 |
+
"learning_rate": 0.0002,
|
953 |
+
"loss": 2.1956,
|
954 |
+
"step": 3375
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.8133971291866029,
|
958 |
+
"grad_norm": 0.8164528608322144,
|
959 |
+
"learning_rate": 0.0002,
|
960 |
+
"loss": 2.2224,
|
961 |
+
"step": 3400
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.819377990430622,
|
965 |
+
"grad_norm": 0.7906235456466675,
|
966 |
+
"learning_rate": 0.0002,
|
967 |
+
"loss": 2.1833,
|
968 |
+
"step": 3425
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.8253588516746412,
|
972 |
+
"grad_norm": 0.8774910569190979,
|
973 |
+
"learning_rate": 0.0002,
|
974 |
+
"loss": 2.1471,
|
975 |
+
"step": 3450
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.8313397129186603,
|
979 |
+
"grad_norm": 0.8200404644012451,
|
980 |
+
"learning_rate": 0.0002,
|
981 |
+
"loss": 2.1554,
|
982 |
+
"step": 3475
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.8373205741626795,
|
986 |
+
"grad_norm": 0.7728098630905151,
|
987 |
+
"learning_rate": 0.0002,
|
988 |
+
"loss": 2.2009,
|
989 |
+
"step": 3500
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.8433014354066986,
|
993 |
+
"grad_norm": 0.7523846626281738,
|
994 |
+
"learning_rate": 0.0002,
|
995 |
+
"loss": 2.2052,
|
996 |
+
"step": 3525
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.8492822966507177,
|
1000 |
+
"grad_norm": 0.8525931239128113,
|
1001 |
+
"learning_rate": 0.0002,
|
1002 |
+
"loss": 2.1811,
|
1003 |
+
"step": 3550
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.8552631578947368,
|
1007 |
+
"grad_norm": 0.7875164747238159,
|
1008 |
+
"learning_rate": 0.0002,
|
1009 |
+
"loss": 2.1308,
|
1010 |
+
"step": 3575
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.861244019138756,
|
1014 |
+
"grad_norm": 0.7879646420478821,
|
1015 |
+
"learning_rate": 0.0002,
|
1016 |
+
"loss": 2.1665,
|
1017 |
+
"step": 3600
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.8672248803827751,
|
1021 |
+
"grad_norm": 0.7715153694152832,
|
1022 |
+
"learning_rate": 0.0002,
|
1023 |
+
"loss": 2.1593,
|
1024 |
+
"step": 3625
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.8732057416267942,
|
1028 |
+
"grad_norm": 0.8685998320579529,
|
1029 |
+
"learning_rate": 0.0002,
|
1030 |
+
"loss": 2.18,
|
1031 |
+
"step": 3650
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.8791866028708134,
|
1035 |
+
"grad_norm": 0.8396874666213989,
|
1036 |
+
"learning_rate": 0.0002,
|
1037 |
+
"loss": 2.1639,
|
1038 |
+
"step": 3675
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.8851674641148325,
|
1042 |
+
"grad_norm": 0.8163192272186279,
|
1043 |
+
"learning_rate": 0.0002,
|
1044 |
+
"loss": 2.1742,
|
1045 |
+
"step": 3700
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.8911483253588517,
|
1049 |
+
"grad_norm": 0.8341553211212158,
|
1050 |
+
"learning_rate": 0.0002,
|
1051 |
+
"loss": 2.1569,
|
1052 |
+
"step": 3725
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.8971291866028708,
|
1056 |
+
"grad_norm": 0.7632786631584167,
|
1057 |
+
"learning_rate": 0.0002,
|
1058 |
+
"loss": 2.1596,
|
1059 |
+
"step": 3750
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.90311004784689,
|
1063 |
+
"grad_norm": 0.7861719131469727,
|
1064 |
+
"learning_rate": 0.0002,
|
1065 |
+
"loss": 2.1853,
|
1066 |
+
"step": 3775
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.9090909090909091,
|
1070 |
+
"grad_norm": 0.8243244886398315,
|
1071 |
+
"learning_rate": 0.0002,
|
1072 |
+
"loss": 2.1695,
|
1073 |
+
"step": 3800
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.9150717703349283,
|
1077 |
+
"grad_norm": 0.760749876499176,
|
1078 |
+
"learning_rate": 0.0002,
|
1079 |
+
"loss": 2.1501,
|
1080 |
+
"step": 3825
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.9210526315789473,
|
1084 |
+
"grad_norm": 0.9622604250907898,
|
1085 |
+
"learning_rate": 0.0002,
|
1086 |
+
"loss": 2.1256,
|
1087 |
+
"step": 3850
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.9270334928229665,
|
1091 |
+
"grad_norm": 0.7732083797454834,
|
1092 |
+
"learning_rate": 0.0002,
|
1093 |
+
"loss": 2.1433,
|
1094 |
+
"step": 3875
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.9330143540669856,
|
1098 |
+
"grad_norm": 0.7828539609909058,
|
1099 |
+
"learning_rate": 0.0002,
|
1100 |
+
"loss": 2.1356,
|
1101 |
+
"step": 3900
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.9389952153110048,
|
1105 |
+
"grad_norm": 0.8860824704170227,
|
1106 |
+
"learning_rate": 0.0002,
|
1107 |
+
"loss": 2.1525,
|
1108 |
+
"step": 3925
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.9449760765550239,
|
1112 |
+
"grad_norm": 0.8569679260253906,
|
1113 |
+
"learning_rate": 0.0002,
|
1114 |
+
"loss": 2.1501,
|
1115 |
+
"step": 3950
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.9509569377990431,
|
1119 |
+
"grad_norm": 0.7966086864471436,
|
1120 |
+
"learning_rate": 0.0002,
|
1121 |
+
"loss": 2.1484,
|
1122 |
+
"step": 3975
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.9569377990430622,
|
1126 |
+
"grad_norm": 0.7861948609352112,
|
1127 |
+
"learning_rate": 0.0002,
|
1128 |
+
"loss": 2.1461,
|
1129 |
+
"step": 4000
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.9629186602870813,
|
1133 |
+
"grad_norm": 0.8073152303695679,
|
1134 |
+
"learning_rate": 0.0002,
|
1135 |
+
"loss": 2.1681,
|
1136 |
+
"step": 4025
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.9688995215311005,
|
1140 |
+
"grad_norm": 0.8233998417854309,
|
1141 |
+
"learning_rate": 0.0002,
|
1142 |
+
"loss": 2.1513,
|
1143 |
+
"step": 4050
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.9748803827751196,
|
1147 |
+
"grad_norm": 0.836236834526062,
|
1148 |
+
"learning_rate": 0.0002,
|
1149 |
+
"loss": 2.1665,
|
1150 |
+
"step": 4075
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.9808612440191388,
|
1154 |
+
"grad_norm": 0.7221957445144653,
|
1155 |
+
"learning_rate": 0.0002,
|
1156 |
+
"loss": 2.1079,
|
1157 |
+
"step": 4100
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.9868421052631579,
|
1161 |
+
"grad_norm": 0.7149819731712341,
|
1162 |
+
"learning_rate": 0.0002,
|
1163 |
+
"loss": 2.1858,
|
1164 |
+
"step": 4125
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.992822966507177,
|
1168 |
+
"grad_norm": 0.7578993439674377,
|
1169 |
+
"learning_rate": 0.0002,
|
1170 |
+
"loss": 2.1467,
|
1171 |
+
"step": 4150
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.9988038277511961,
|
1175 |
+
"grad_norm": 1.0370241403579712,
|
1176 |
+
"learning_rate": 0.0002,
|
1177 |
+
"loss": 2.1626,
|
1178 |
+
"step": 4175
|
1179 |
+
}
|
1180 |
+
],
|
1181 |
+
"logging_steps": 25,
|
1182 |
+
"max_steps": 4180,
|
1183 |
+
"num_input_tokens_seen": 0,
|
1184 |
+
"num_train_epochs": 1,
|
1185 |
+
"save_steps": 25,
|
1186 |
+
"stateful_callbacks": {
|
1187 |
+
"TrainerControl": {
|
1188 |
+
"args": {
|
1189 |
+
"should_epoch_stop": false,
|
1190 |
+
"should_evaluate": false,
|
1191 |
+
"should_log": false,
|
1192 |
+
"should_save": true,
|
1193 |
+
"should_training_stop": true
|
1194 |
+
},
|
1195 |
+
"attributes": {}
|
1196 |
+
}
|
1197 |
+
},
|
1198 |
+
"total_flos": 1.194945264893952e+17,
|
1199 |
+
"train_batch_size": 16,
|
1200 |
+
"trial_name": null,
|
1201 |
+
"trial_params": null
|
1202 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8ece2cecece1fcae39040b74581428f594292a4f3d733443c4954ce8373a446f
|
3 |
+
size 5496
|