Upload 11 files
Browse files- README.md +202 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +70 -0
- trainer_state.json +775 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: vilm/vinallama-2.7b-chat
|
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 0.13.0
|
adapter_config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "vilm/vinallama-2.7b-chat",
|
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": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 64,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"down_proj",
|
24 |
+
"o_proj",
|
25 |
+
"k_proj",
|
26 |
+
"gate_proj",
|
27 |
+
"q_proj",
|
28 |
+
"v_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"use_dora": false,
|
32 |
+
"use_rslora": false
|
33 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad857b4a1d0302b348d70446badaaeebd32ccd5510c2197350f0fe70b32ec1e8
|
3 |
+
size 323013288
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9527df187365fc5d7c029bf30b20c9ee0fa28f183f0e7472a66e037f4b14dd8e
|
3 |
+
size 646160890
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76031ef076d6b4372157ce51206826294422e97711d5028512f86b44bbd91a1a
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:88eafaefdef1df26ac7d5012ab5fd0e79cbfce7ece682065657960d0150687a6
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|im_end|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|im_end|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
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": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"46303": {
|
31 |
+
"content": "<pad>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"46304": {
|
39 |
+
"content": "<|im_end|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"46305": {
|
47 |
+
"content": "<|im_start|>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
}
|
54 |
+
},
|
55 |
+
"bos_token": "<s>",
|
56 |
+
"clean_up_tokenization_spaces": false,
|
57 |
+
"eos_token": "<|im_end|>",
|
58 |
+
"legacy": false,
|
59 |
+
"max_length": 256,
|
60 |
+
"model_max_length": 1000000000000000019884624838656,
|
61 |
+
"pad_token": "<|im_end|>",
|
62 |
+
"sp_model_kwargs": {},
|
63 |
+
"stride": 0,
|
64 |
+
"tokenizer_class": "LlamaTokenizer",
|
65 |
+
"truncation_side": "right",
|
66 |
+
"truncation_strategy": "longest_first",
|
67 |
+
"unk_token": "<unk>",
|
68 |
+
"use_default_system_prompt": true,
|
69 |
+
"use_fast": true
|
70 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,775 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 10640,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.046992481203007516,
|
13 |
+
"grad_norm": 0.5545257329940796,
|
14 |
+
"learning_rate": 8e-05,
|
15 |
+
"loss": 1.3314,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09398496240601503,
|
20 |
+
"grad_norm": 0.4230383634567261,
|
21 |
+
"learning_rate": 8e-05,
|
22 |
+
"loss": 1.0094,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.14097744360902256,
|
27 |
+
"grad_norm": 0.5089946985244751,
|
28 |
+
"learning_rate": 8e-05,
|
29 |
+
"loss": 0.9087,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.18796992481203006,
|
34 |
+
"grad_norm": 0.40527835488319397,
|
35 |
+
"learning_rate": 8e-05,
|
36 |
+
"loss": 0.8751,
|
37 |
+
"step": 400
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.2349624060150376,
|
41 |
+
"grad_norm": 0.4454207420349121,
|
42 |
+
"learning_rate": 8e-05,
|
43 |
+
"loss": 0.8028,
|
44 |
+
"step": 500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2819548872180451,
|
48 |
+
"grad_norm": 0.4298827648162842,
|
49 |
+
"learning_rate": 8e-05,
|
50 |
+
"loss": 0.7631,
|
51 |
+
"step": 600
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.32894736842105265,
|
55 |
+
"grad_norm": 0.47333529591560364,
|
56 |
+
"learning_rate": 8e-05,
|
57 |
+
"loss": 0.7046,
|
58 |
+
"step": 700
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.37593984962406013,
|
62 |
+
"grad_norm": 0.3852340579032898,
|
63 |
+
"learning_rate": 8e-05,
|
64 |
+
"loss": 0.6892,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.42293233082706766,
|
69 |
+
"grad_norm": 0.35454148054122925,
|
70 |
+
"learning_rate": 8e-05,
|
71 |
+
"loss": 0.6721,
|
72 |
+
"step": 900
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.4699248120300752,
|
76 |
+
"grad_norm": 0.4931226670742035,
|
77 |
+
"learning_rate": 8e-05,
|
78 |
+
"loss": 0.6611,
|
79 |
+
"step": 1000
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5169172932330827,
|
83 |
+
"grad_norm": 0.41038602590560913,
|
84 |
+
"learning_rate": 8e-05,
|
85 |
+
"loss": 0.634,
|
86 |
+
"step": 1100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5639097744360902,
|
90 |
+
"grad_norm": 0.47582054138183594,
|
91 |
+
"learning_rate": 8e-05,
|
92 |
+
"loss": 0.5972,
|
93 |
+
"step": 1200
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.6109022556390977,
|
97 |
+
"grad_norm": 0.41142553091049194,
|
98 |
+
"learning_rate": 8e-05,
|
99 |
+
"loss": 0.5697,
|
100 |
+
"step": 1300
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6578947368421053,
|
104 |
+
"grad_norm": 0.4688047766685486,
|
105 |
+
"learning_rate": 8e-05,
|
106 |
+
"loss": 0.5527,
|
107 |
+
"step": 1400
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.7048872180451128,
|
111 |
+
"grad_norm": 0.34588006138801575,
|
112 |
+
"learning_rate": 8e-05,
|
113 |
+
"loss": 0.5244,
|
114 |
+
"step": 1500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7518796992481203,
|
118 |
+
"grad_norm": 0.37110626697540283,
|
119 |
+
"learning_rate": 8e-05,
|
120 |
+
"loss": 0.5142,
|
121 |
+
"step": 1600
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.7988721804511278,
|
125 |
+
"grad_norm": 0.40582674741744995,
|
126 |
+
"learning_rate": 8e-05,
|
127 |
+
"loss": 0.4992,
|
128 |
+
"step": 1700
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8458646616541353,
|
132 |
+
"grad_norm": 0.5929071307182312,
|
133 |
+
"learning_rate": 8e-05,
|
134 |
+
"loss": 0.475,
|
135 |
+
"step": 1800
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.8928571428571429,
|
139 |
+
"grad_norm": 0.37385937571525574,
|
140 |
+
"learning_rate": 8e-05,
|
141 |
+
"loss": 0.4697,
|
142 |
+
"step": 1900
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.9398496240601504,
|
146 |
+
"grad_norm": 0.6792587637901306,
|
147 |
+
"learning_rate": 8e-05,
|
148 |
+
"loss": 0.4481,
|
149 |
+
"step": 2000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.9868421052631579,
|
153 |
+
"grad_norm": 0.469675213098526,
|
154 |
+
"learning_rate": 8e-05,
|
155 |
+
"loss": 0.4369,
|
156 |
+
"step": 2100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.0338345864661653,
|
160 |
+
"grad_norm": 0.7627009153366089,
|
161 |
+
"learning_rate": 8e-05,
|
162 |
+
"loss": 0.398,
|
163 |
+
"step": 2200
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 1.080827067669173,
|
167 |
+
"grad_norm": 1.062076210975647,
|
168 |
+
"learning_rate": 8e-05,
|
169 |
+
"loss": 0.356,
|
170 |
+
"step": 2300
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.1278195488721805,
|
174 |
+
"grad_norm": 0.6841139197349548,
|
175 |
+
"learning_rate": 8e-05,
|
176 |
+
"loss": 0.3639,
|
177 |
+
"step": 2400
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.1748120300751879,
|
181 |
+
"grad_norm": 0.8091045618057251,
|
182 |
+
"learning_rate": 8e-05,
|
183 |
+
"loss": 0.3337,
|
184 |
+
"step": 2500
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 1.2218045112781954,
|
188 |
+
"grad_norm": 0.8521890044212341,
|
189 |
+
"learning_rate": 8e-05,
|
190 |
+
"loss": 0.3214,
|
191 |
+
"step": 2600
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.268796992481203,
|
195 |
+
"grad_norm": 1.094050645828247,
|
196 |
+
"learning_rate": 8e-05,
|
197 |
+
"loss": 0.332,
|
198 |
+
"step": 2700
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.3157894736842106,
|
202 |
+
"grad_norm": 0.9790450930595398,
|
203 |
+
"learning_rate": 8e-05,
|
204 |
+
"loss": 0.3081,
|
205 |
+
"step": 2800
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 1.362781954887218,
|
209 |
+
"grad_norm": 1.075464129447937,
|
210 |
+
"learning_rate": 8e-05,
|
211 |
+
"loss": 0.2985,
|
212 |
+
"step": 2900
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.4097744360902256,
|
216 |
+
"grad_norm": 0.7050557732582092,
|
217 |
+
"learning_rate": 8e-05,
|
218 |
+
"loss": 0.3075,
|
219 |
+
"step": 3000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.4567669172932332,
|
223 |
+
"grad_norm": 0.5842902660369873,
|
224 |
+
"learning_rate": 8e-05,
|
225 |
+
"loss": 0.2961,
|
226 |
+
"step": 3100
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.5037593984962405,
|
230 |
+
"grad_norm": 0.9146755337715149,
|
231 |
+
"learning_rate": 8e-05,
|
232 |
+
"loss": 0.2802,
|
233 |
+
"step": 3200
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.550751879699248,
|
237 |
+
"grad_norm": 0.8023449182510376,
|
238 |
+
"learning_rate": 8e-05,
|
239 |
+
"loss": 0.2659,
|
240 |
+
"step": 3300
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.5977443609022557,
|
244 |
+
"grad_norm": 0.7098923325538635,
|
245 |
+
"learning_rate": 8e-05,
|
246 |
+
"loss": 0.269,
|
247 |
+
"step": 3400
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 1.6447368421052633,
|
251 |
+
"grad_norm": 0.7079114317893982,
|
252 |
+
"learning_rate": 8e-05,
|
253 |
+
"loss": 0.2704,
|
254 |
+
"step": 3500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.6917293233082706,
|
258 |
+
"grad_norm": 0.6371886730194092,
|
259 |
+
"learning_rate": 8e-05,
|
260 |
+
"loss": 0.2594,
|
261 |
+
"step": 3600
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.7387218045112782,
|
265 |
+
"grad_norm": 1.0881303548812866,
|
266 |
+
"learning_rate": 8e-05,
|
267 |
+
"loss": 0.2393,
|
268 |
+
"step": 3700
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.7857142857142856,
|
272 |
+
"grad_norm": 0.6589190363883972,
|
273 |
+
"learning_rate": 8e-05,
|
274 |
+
"loss": 0.2246,
|
275 |
+
"step": 3800
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.8327067669172932,
|
279 |
+
"grad_norm": 0.8153588771820068,
|
280 |
+
"learning_rate": 8e-05,
|
281 |
+
"loss": 0.2392,
|
282 |
+
"step": 3900
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.8796992481203008,
|
286 |
+
"grad_norm": 0.6274800896644592,
|
287 |
+
"learning_rate": 8e-05,
|
288 |
+
"loss": 0.228,
|
289 |
+
"step": 4000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.9266917293233083,
|
293 |
+
"grad_norm": 0.4663766324520111,
|
294 |
+
"learning_rate": 8e-05,
|
295 |
+
"loss": 0.2207,
|
296 |
+
"step": 4100
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.973684210526316,
|
300 |
+
"grad_norm": 0.6567248702049255,
|
301 |
+
"learning_rate": 8e-05,
|
302 |
+
"loss": 0.2102,
|
303 |
+
"step": 4200
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.0206766917293235,
|
307 |
+
"grad_norm": 0.41215980052948,
|
308 |
+
"learning_rate": 8e-05,
|
309 |
+
"loss": 0.1784,
|
310 |
+
"step": 4300
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.0676691729323307,
|
314 |
+
"grad_norm": 0.6045951843261719,
|
315 |
+
"learning_rate": 8e-05,
|
316 |
+
"loss": 0.1695,
|
317 |
+
"step": 4400
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 2.1146616541353382,
|
321 |
+
"grad_norm": 0.7387892603874207,
|
322 |
+
"learning_rate": 8e-05,
|
323 |
+
"loss": 0.1655,
|
324 |
+
"step": 4500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 2.161654135338346,
|
328 |
+
"grad_norm": 0.45477333664894104,
|
329 |
+
"learning_rate": 8e-05,
|
330 |
+
"loss": 0.1613,
|
331 |
+
"step": 4600
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 2.2086466165413534,
|
335 |
+
"grad_norm": 0.30160850286483765,
|
336 |
+
"learning_rate": 8e-05,
|
337 |
+
"loss": 0.1659,
|
338 |
+
"step": 4700
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.255639097744361,
|
342 |
+
"grad_norm": 0.5727681517601013,
|
343 |
+
"learning_rate": 8e-05,
|
344 |
+
"loss": 0.1662,
|
345 |
+
"step": 4800
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 2.3026315789473686,
|
349 |
+
"grad_norm": 0.3604126572608948,
|
350 |
+
"learning_rate": 8e-05,
|
351 |
+
"loss": 0.161,
|
352 |
+
"step": 4900
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 2.3496240601503757,
|
356 |
+
"grad_norm": 0.4300563633441925,
|
357 |
+
"learning_rate": 8e-05,
|
358 |
+
"loss": 0.1544,
|
359 |
+
"step": 5000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 2.3966165413533833,
|
363 |
+
"grad_norm": 0.36611631512641907,
|
364 |
+
"learning_rate": 8e-05,
|
365 |
+
"loss": 0.1652,
|
366 |
+
"step": 5100
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 2.443609022556391,
|
370 |
+
"grad_norm": 0.2416616529226303,
|
371 |
+
"learning_rate": 8e-05,
|
372 |
+
"loss": 0.1549,
|
373 |
+
"step": 5200
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 2.4906015037593985,
|
377 |
+
"grad_norm": 0.4697664976119995,
|
378 |
+
"learning_rate": 8e-05,
|
379 |
+
"loss": 0.1656,
|
380 |
+
"step": 5300
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 2.537593984962406,
|
384 |
+
"grad_norm": 0.30222266912460327,
|
385 |
+
"learning_rate": 8e-05,
|
386 |
+
"loss": 0.1519,
|
387 |
+
"step": 5400
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 2.5845864661654137,
|
391 |
+
"grad_norm": 0.2380097359418869,
|
392 |
+
"learning_rate": 8e-05,
|
393 |
+
"loss": 0.1442,
|
394 |
+
"step": 5500
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 2.6315789473684212,
|
398 |
+
"grad_norm": 0.6197409629821777,
|
399 |
+
"learning_rate": 8e-05,
|
400 |
+
"loss": 0.1584,
|
401 |
+
"step": 5600
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 2.678571428571429,
|
405 |
+
"grad_norm": 0.28864553570747375,
|
406 |
+
"learning_rate": 8e-05,
|
407 |
+
"loss": 0.1549,
|
408 |
+
"step": 5700
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 2.725563909774436,
|
412 |
+
"grad_norm": 0.4034702479839325,
|
413 |
+
"learning_rate": 8e-05,
|
414 |
+
"loss": 0.1489,
|
415 |
+
"step": 5800
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 2.7725563909774436,
|
419 |
+
"grad_norm": 0.2871549427509308,
|
420 |
+
"learning_rate": 8e-05,
|
421 |
+
"loss": 0.1472,
|
422 |
+
"step": 5900
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 2.819548872180451,
|
426 |
+
"grad_norm": 0.2509134113788605,
|
427 |
+
"learning_rate": 8e-05,
|
428 |
+
"loss": 0.1416,
|
429 |
+
"step": 6000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 2.8665413533834587,
|
433 |
+
"grad_norm": 0.33378517627716064,
|
434 |
+
"learning_rate": 8e-05,
|
435 |
+
"loss": 0.1414,
|
436 |
+
"step": 6100
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 2.9135338345864663,
|
440 |
+
"grad_norm": 0.6547949910163879,
|
441 |
+
"learning_rate": 8e-05,
|
442 |
+
"loss": 0.1368,
|
443 |
+
"step": 6200
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 2.9605263157894735,
|
447 |
+
"grad_norm": 0.6051119565963745,
|
448 |
+
"learning_rate": 8e-05,
|
449 |
+
"loss": 0.134,
|
450 |
+
"step": 6300
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 3.007518796992481,
|
454 |
+
"grad_norm": 0.3931277394294739,
|
455 |
+
"learning_rate": 8e-05,
|
456 |
+
"loss": 0.1328,
|
457 |
+
"step": 6400
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 3.0545112781954886,
|
461 |
+
"grad_norm": 0.5392380356788635,
|
462 |
+
"learning_rate": 8e-05,
|
463 |
+
"loss": 0.1116,
|
464 |
+
"step": 6500
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 3.101503759398496,
|
468 |
+
"grad_norm": 0.5582751035690308,
|
469 |
+
"learning_rate": 8e-05,
|
470 |
+
"loss": 0.1168,
|
471 |
+
"step": 6600
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 3.148496240601504,
|
475 |
+
"grad_norm": 0.7207412719726562,
|
476 |
+
"learning_rate": 8e-05,
|
477 |
+
"loss": 0.116,
|
478 |
+
"step": 6700
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 3.1954887218045114,
|
482 |
+
"grad_norm": 0.5049484372138977,
|
483 |
+
"learning_rate": 8e-05,
|
484 |
+
"loss": 0.1116,
|
485 |
+
"step": 6800
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 3.242481203007519,
|
489 |
+
"grad_norm": 0.4771376848220825,
|
490 |
+
"learning_rate": 8e-05,
|
491 |
+
"loss": 0.1221,
|
492 |
+
"step": 6900
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 3.2894736842105265,
|
496 |
+
"grad_norm": 0.31348326802253723,
|
497 |
+
"learning_rate": 8e-05,
|
498 |
+
"loss": 0.1182,
|
499 |
+
"step": 7000
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 3.3364661654135337,
|
503 |
+
"grad_norm": 0.4933196008205414,
|
504 |
+
"learning_rate": 8e-05,
|
505 |
+
"loss": 0.1154,
|
506 |
+
"step": 7100
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 3.3834586466165413,
|
510 |
+
"grad_norm": 0.5421645045280457,
|
511 |
+
"learning_rate": 8e-05,
|
512 |
+
"loss": 0.1126,
|
513 |
+
"step": 7200
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 3.430451127819549,
|
517 |
+
"grad_norm": 0.3532046675682068,
|
518 |
+
"learning_rate": 8e-05,
|
519 |
+
"loss": 0.1161,
|
520 |
+
"step": 7300
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 3.4774436090225564,
|
524 |
+
"grad_norm": 0.3583752512931824,
|
525 |
+
"learning_rate": 8e-05,
|
526 |
+
"loss": 0.111,
|
527 |
+
"step": 7400
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 3.524436090225564,
|
531 |
+
"grad_norm": 0.5365299582481384,
|
532 |
+
"learning_rate": 8e-05,
|
533 |
+
"loss": 0.1153,
|
534 |
+
"step": 7500
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 3.571428571428571,
|
538 |
+
"grad_norm": 0.3793279230594635,
|
539 |
+
"learning_rate": 8e-05,
|
540 |
+
"loss": 0.1166,
|
541 |
+
"step": 7600
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 3.6184210526315788,
|
545 |
+
"grad_norm": 0.48083165287971497,
|
546 |
+
"learning_rate": 8e-05,
|
547 |
+
"loss": 0.1071,
|
548 |
+
"step": 7700
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 3.6654135338345863,
|
552 |
+
"grad_norm": 0.22366443276405334,
|
553 |
+
"learning_rate": 8e-05,
|
554 |
+
"loss": 0.1129,
|
555 |
+
"step": 7800
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 3.712406015037594,
|
559 |
+
"grad_norm": 0.2951621413230896,
|
560 |
+
"learning_rate": 8e-05,
|
561 |
+
"loss": 0.1072,
|
562 |
+
"step": 7900
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 3.7593984962406015,
|
566 |
+
"grad_norm": 0.3635716736316681,
|
567 |
+
"learning_rate": 8e-05,
|
568 |
+
"loss": 0.1126,
|
569 |
+
"step": 8000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 3.806390977443609,
|
573 |
+
"grad_norm": 0.4242447316646576,
|
574 |
+
"learning_rate": 8e-05,
|
575 |
+
"loss": 0.1042,
|
576 |
+
"step": 8100
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 3.8533834586466167,
|
580 |
+
"grad_norm": 0.5344616174697876,
|
581 |
+
"learning_rate": 8e-05,
|
582 |
+
"loss": 0.1105,
|
583 |
+
"step": 8200
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 3.9003759398496243,
|
587 |
+
"grad_norm": 0.2864810824394226,
|
588 |
+
"learning_rate": 8e-05,
|
589 |
+
"loss": 0.1067,
|
590 |
+
"step": 8300
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 3.9473684210526314,
|
594 |
+
"grad_norm": 0.20486478507518768,
|
595 |
+
"learning_rate": 8e-05,
|
596 |
+
"loss": 0.1148,
|
597 |
+
"step": 8400
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 3.994360902255639,
|
601 |
+
"grad_norm": 0.2724199891090393,
|
602 |
+
"learning_rate": 8e-05,
|
603 |
+
"loss": 0.1059,
|
604 |
+
"step": 8500
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 4.041353383458647,
|
608 |
+
"grad_norm": 0.23194871842861176,
|
609 |
+
"learning_rate": 8e-05,
|
610 |
+
"loss": 0.0951,
|
611 |
+
"step": 8600
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 4.088345864661654,
|
615 |
+
"grad_norm": 0.2825726568698883,
|
616 |
+
"learning_rate": 8e-05,
|
617 |
+
"loss": 0.0955,
|
618 |
+
"step": 8700
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 4.135338345864661,
|
622 |
+
"grad_norm": 0.3474775552749634,
|
623 |
+
"learning_rate": 8e-05,
|
624 |
+
"loss": 0.0948,
|
625 |
+
"step": 8800
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 4.182330827067669,
|
629 |
+
"grad_norm": 0.2578595280647278,
|
630 |
+
"learning_rate": 8e-05,
|
631 |
+
"loss": 0.0979,
|
632 |
+
"step": 8900
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 4.2293233082706765,
|
636 |
+
"grad_norm": 0.19148337841033936,
|
637 |
+
"learning_rate": 8e-05,
|
638 |
+
"loss": 0.0945,
|
639 |
+
"step": 9000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 4.276315789473684,
|
643 |
+
"grad_norm": 0.33712396025657654,
|
644 |
+
"learning_rate": 8e-05,
|
645 |
+
"loss": 0.0969,
|
646 |
+
"step": 9100
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 4.323308270676692,
|
650 |
+
"grad_norm": 0.11194352805614471,
|
651 |
+
"learning_rate": 8e-05,
|
652 |
+
"loss": 0.0956,
|
653 |
+
"step": 9200
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 4.370300751879699,
|
657 |
+
"grad_norm": 0.23684288561344147,
|
658 |
+
"learning_rate": 8e-05,
|
659 |
+
"loss": 0.0959,
|
660 |
+
"step": 9300
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 4.417293233082707,
|
664 |
+
"grad_norm": 0.2522250711917877,
|
665 |
+
"learning_rate": 8e-05,
|
666 |
+
"loss": 0.0952,
|
667 |
+
"step": 9400
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 4.464285714285714,
|
671 |
+
"grad_norm": 0.2690654695034027,
|
672 |
+
"learning_rate": 8e-05,
|
673 |
+
"loss": 0.0952,
|
674 |
+
"step": 9500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 4.511278195488722,
|
678 |
+
"grad_norm": 0.24745237827301025,
|
679 |
+
"learning_rate": 8e-05,
|
680 |
+
"loss": 0.095,
|
681 |
+
"step": 9600
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 4.55827067669173,
|
685 |
+
"grad_norm": 0.20620840787887573,
|
686 |
+
"learning_rate": 8e-05,
|
687 |
+
"loss": 0.0949,
|
688 |
+
"step": 9700
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 4.605263157894737,
|
692 |
+
"grad_norm": 0.16357560455799103,
|
693 |
+
"learning_rate": 8e-05,
|
694 |
+
"loss": 0.0946,
|
695 |
+
"step": 9800
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 4.652255639097744,
|
699 |
+
"grad_norm": 0.27708449959754944,
|
700 |
+
"learning_rate": 8e-05,
|
701 |
+
"loss": 0.0962,
|
702 |
+
"step": 9900
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 4.6992481203007515,
|
706 |
+
"grad_norm": 0.28259918093681335,
|
707 |
+
"learning_rate": 8e-05,
|
708 |
+
"loss": 0.0943,
|
709 |
+
"step": 10000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 4.746240601503759,
|
713 |
+
"grad_norm": 0.329013854265213,
|
714 |
+
"learning_rate": 8e-05,
|
715 |
+
"loss": 0.0932,
|
716 |
+
"step": 10100
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 4.793233082706767,
|
720 |
+
"grad_norm": 0.22850731015205383,
|
721 |
+
"learning_rate": 8e-05,
|
722 |
+
"loss": 0.0957,
|
723 |
+
"step": 10200
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 4.840225563909774,
|
727 |
+
"grad_norm": 0.23723909258842468,
|
728 |
+
"learning_rate": 8e-05,
|
729 |
+
"loss": 0.0933,
|
730 |
+
"step": 10300
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 4.887218045112782,
|
734 |
+
"grad_norm": 0.26455193758010864,
|
735 |
+
"learning_rate": 8e-05,
|
736 |
+
"loss": 0.0948,
|
737 |
+
"step": 10400
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 4.934210526315789,
|
741 |
+
"grad_norm": 0.2879829704761505,
|
742 |
+
"learning_rate": 8e-05,
|
743 |
+
"loss": 0.0928,
|
744 |
+
"step": 10500
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 4.981203007518797,
|
748 |
+
"grad_norm": 0.23641151189804077,
|
749 |
+
"learning_rate": 8e-05,
|
750 |
+
"loss": 0.0913,
|
751 |
+
"step": 10600
|
752 |
+
}
|
753 |
+
],
|
754 |
+
"logging_steps": 100,
|
755 |
+
"max_steps": 10640,
|
756 |
+
"num_input_tokens_seen": 0,
|
757 |
+
"num_train_epochs": 5,
|
758 |
+
"save_steps": 5000,
|
759 |
+
"stateful_callbacks": {
|
760 |
+
"TrainerControl": {
|
761 |
+
"args": {
|
762 |
+
"should_epoch_stop": false,
|
763 |
+
"should_evaluate": false,
|
764 |
+
"should_log": false,
|
765 |
+
"should_save": true,
|
766 |
+
"should_training_stop": true
|
767 |
+
},
|
768 |
+
"attributes": {}
|
769 |
+
}
|
770 |
+
},
|
771 |
+
"total_flos": 1.0310942311098778e+17,
|
772 |
+
"train_batch_size": 2,
|
773 |
+
"trial_name": null,
|
774 |
+
"trial_params": null
|
775 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e57f65e6017276d09a52ed9b23c338c575f982aded6a84e9f624f4d9ef9a087c
|
3 |
+
size 5496
|