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
|