Upload fine-tuned checkpoint
Browse files- README.md +207 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +1 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +36 -0
- tokenizer.json +0 -0
- tokenizer_config.json +92 -0
- trainer_state.json +473 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-Instruct-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-Instruct-hf
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
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).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 16,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
+
"k_proj",
|
| 31 |
+
"q_proj"
|
| 32 |
+
],
|
| 33 |
+
"target_parameters": null,
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"trainable_token_indices": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_qalora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:454cb57e58269fd584e61736777809fa3c3aaac44690dd8e1520be4a3a223cc0
|
| 3 |
+
size 591710056
|
chat_template.jinja
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\n' + system_message + '\n<</SYS>>\n\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:209fbac6ada6f09fdf9d695ebbc1d27e1e321078ef622aae47bf5714c47cafd6
|
| 3 |
+
size 134433995
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:642bc400784c09e6341cae7579ccf4455d6ef1f7eb21ab3da26cb70947a38510
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89c7e585bf25f929251599f24890acceb440d06b049a496384748f1eed552840
|
| 3 |
+
size 1465
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": {
|
| 23 |
+
"content": "<|pad|>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false
|
| 28 |
+
},
|
| 29 |
+
"unk_token": {
|
| 30 |
+
"content": "<unk>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false
|
| 35 |
+
}
|
| 36 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"32016": {
|
| 62 |
+
"content": "<|pad|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
"additional_special_tokens": [
|
| 71 |
+
"▁<PRE>",
|
| 72 |
+
"▁<MID>",
|
| 73 |
+
"▁<SUF>",
|
| 74 |
+
"▁<EOT>"
|
| 75 |
+
],
|
| 76 |
+
"bos_token": "<s>",
|
| 77 |
+
"clean_up_tokenization_spaces": false,
|
| 78 |
+
"eos_token": "</s>",
|
| 79 |
+
"eot_token": "▁<EOT>",
|
| 80 |
+
"extra_special_tokens": {},
|
| 81 |
+
"fill_token": "<FILL_ME>",
|
| 82 |
+
"legacy": null,
|
| 83 |
+
"middle_token": "▁<MID>",
|
| 84 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 85 |
+
"pad_token": "<|pad|>",
|
| 86 |
+
"prefix_token": "▁<PRE>",
|
| 87 |
+
"sp_model_kwargs": {},
|
| 88 |
+
"suffix_token": "▁<SUF>",
|
| 89 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 90 |
+
"unk_token": "<unk>",
|
| 91 |
+
"use_default_system_prompt": false
|
| 92 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,473 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 100,
|
| 3 |
+
"best_metric": 1.2003129720687866,
|
| 4 |
+
"best_model_checkpoint": "./code_llama_lora_finetuned_7B_V2/checkpoint-100",
|
| 5 |
+
"epoch": 4.0,
|
| 6 |
+
"eval_steps": 10,
|
| 7 |
+
"global_step": 100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0821917808219178,
|
| 14 |
+
"grad_norm": 0.1252169907093048,
|
| 15 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 16 |
+
"loss": 1.2016,
|
| 17 |
+
"step": 2
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.1643835616438356,
|
| 21 |
+
"grad_norm": 0.11424548923969269,
|
| 22 |
+
"learning_rate": 5e-06,
|
| 23 |
+
"loss": 1.1907,
|
| 24 |
+
"step": 4
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.2465753424657534,
|
| 28 |
+
"grad_norm": 0.09151630103588104,
|
| 29 |
+
"learning_rate": 8.333333333333334e-06,
|
| 30 |
+
"loss": 1.1468,
|
| 31 |
+
"step": 6
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.3287671232876712,
|
| 35 |
+
"grad_norm": 0.10017984360456467,
|
| 36 |
+
"learning_rate": 9.997207818651273e-06,
|
| 37 |
+
"loss": 1.1703,
|
| 38 |
+
"step": 8
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.410958904109589,
|
| 42 |
+
"grad_norm": 0.08434079587459564,
|
| 43 |
+
"learning_rate": 9.97488907544252e-06,
|
| 44 |
+
"loss": 1.0858,
|
| 45 |
+
"step": 10
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.410958904109589,
|
| 49 |
+
"eval_loss": 1.2599437236785889,
|
| 50 |
+
"eval_runtime": 19.2773,
|
| 51 |
+
"eval_samples_per_second": 5.084,
|
| 52 |
+
"eval_steps_per_second": 0.674,
|
| 53 |
+
"step": 10
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.4931506849315068,
|
| 57 |
+
"grad_norm": 0.08929586410522461,
|
| 58 |
+
"learning_rate": 9.930351269950144e-06,
|
| 59 |
+
"loss": 1.1908,
|
| 60 |
+
"step": 12
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.5753424657534246,
|
| 64 |
+
"grad_norm": 0.07840757817029953,
|
| 65 |
+
"learning_rate": 9.863793318825186e-06,
|
| 66 |
+
"loss": 1.2965,
|
| 67 |
+
"step": 14
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 0.6575342465753424,
|
| 71 |
+
"grad_norm": 0.11115998774766922,
|
| 72 |
+
"learning_rate": 9.775512486034564e-06,
|
| 73 |
+
"loss": 1.2533,
|
| 74 |
+
"step": 16
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.7397260273972602,
|
| 78 |
+
"grad_norm": 0.11591454595327377,
|
| 79 |
+
"learning_rate": 9.665903055208013e-06,
|
| 80 |
+
"loss": 1.2895,
|
| 81 |
+
"step": 18
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.821917808219178,
|
| 85 |
+
"grad_norm": 0.16259221732616425,
|
| 86 |
+
"learning_rate": 9.535454568671705e-06,
|
| 87 |
+
"loss": 1.3646,
|
| 88 |
+
"step": 20
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.821917808219178,
|
| 92 |
+
"eval_loss": 1.2526977062225342,
|
| 93 |
+
"eval_runtime": 19.2811,
|
| 94 |
+
"eval_samples_per_second": 5.083,
|
| 95 |
+
"eval_steps_per_second": 0.674,
|
| 96 |
+
"step": 20
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.9041095890410958,
|
| 100 |
+
"grad_norm": 0.14939013123512268,
|
| 101 |
+
"learning_rate": 9.384749641033358e-06,
|
| 102 |
+
"loss": 1.3148,
|
| 103 |
+
"step": 22
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 0.9863013698630136,
|
| 107 |
+
"grad_norm": 0.09688690304756165,
|
| 108 |
+
"learning_rate": 9.214461357083986e-06,
|
| 109 |
+
"loss": 1.1114,
|
| 110 |
+
"step": 24
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 1.0410958904109588,
|
| 114 |
+
"grad_norm": 0.07158572971820831,
|
| 115 |
+
"learning_rate": 9.025350265637816e-06,
|
| 116 |
+
"loss": 1.2985,
|
| 117 |
+
"step": 26
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 1.1232876712328768,
|
| 121 |
+
"grad_norm": 0.08776634931564331,
|
| 122 |
+
"learning_rate": 8.818260982736662e-06,
|
| 123 |
+
"loss": 1.2364,
|
| 124 |
+
"step": 28
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 1.2054794520547945,
|
| 128 |
+
"grad_norm": 0.13346178829669952,
|
| 129 |
+
"learning_rate": 8.594118419389648e-06,
|
| 130 |
+
"loss": 1.2015,
|
| 131 |
+
"step": 30
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.2054794520547945,
|
| 135 |
+
"eval_loss": 1.242512822151184,
|
| 136 |
+
"eval_runtime": 19.2186,
|
| 137 |
+
"eval_samples_per_second": 5.099,
|
| 138 |
+
"eval_steps_per_second": 0.676,
|
| 139 |
+
"step": 30
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 1.2876712328767124,
|
| 143 |
+
"grad_norm": 0.13454404473304749,
|
| 144 |
+
"learning_rate": 8.353923650696119e-06,
|
| 145 |
+
"loss": 1.2526,
|
| 146 |
+
"step": 32
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 1.36986301369863,
|
| 150 |
+
"grad_norm": 0.11033220589160919,
|
| 151 |
+
"learning_rate": 8.098749444801226e-06,
|
| 152 |
+
"loss": 1.1399,
|
| 153 |
+
"step": 34
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 1.452054794520548,
|
| 157 |
+
"grad_norm": 0.1132265105843544,
|
| 158 |
+
"learning_rate": 7.829735471652978e-06,
|
| 159 |
+
"loss": 1.2151,
|
| 160 |
+
"step": 36
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 1.5342465753424657,
|
| 164 |
+
"grad_norm": 0.08603114634752274,
|
| 165 |
+
"learning_rate": 7.548083212959588e-06,
|
| 166 |
+
"loss": 1.1724,
|
| 167 |
+
"step": 38
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 1.6164383561643836,
|
| 171 |
+
"grad_norm": 0.10220175981521606,
|
| 172 |
+
"learning_rate": 7.25505059608051e-06,
|
| 173 |
+
"loss": 1.1664,
|
| 174 |
+
"step": 40
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 1.6164383561643836,
|
| 178 |
+
"eval_loss": 1.2305227518081665,
|
| 179 |
+
"eval_runtime": 19.2515,
|
| 180 |
+
"eval_samples_per_second": 5.091,
|
| 181 |
+
"eval_steps_per_second": 0.675,
|
| 182 |
+
"step": 40
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 1.6986301369863015,
|
| 186 |
+
"grad_norm": 0.10735412687063217,
|
| 187 |
+
"learning_rate": 6.9519463758174745e-06,
|
| 188 |
+
"loss": 1.1596,
|
| 189 |
+
"step": 42
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 1.7808219178082192,
|
| 193 |
+
"grad_norm": 0.1268831342458725,
|
| 194 |
+
"learning_rate": 6.640124289197845e-06,
|
| 195 |
+
"loss": 1.1967,
|
| 196 |
+
"step": 44
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 1.8630136986301369,
|
| 200 |
+
"grad_norm": 0.13662758469581604,
|
| 201 |
+
"learning_rate": 6.3209770093564315e-06,
|
| 202 |
+
"loss": 1.222,
|
| 203 |
+
"step": 46
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.9452054794520548,
|
| 207 |
+
"grad_norm": 0.10570651292800903,
|
| 208 |
+
"learning_rate": 5.995929925519181e-06,
|
| 209 |
+
"loss": 1.1327,
|
| 210 |
+
"step": 48
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 2.0,
|
| 214 |
+
"grad_norm": 0.28991779685020447,
|
| 215 |
+
"learning_rate": 5.666434776868895e-06,
|
| 216 |
+
"loss": 1.2091,
|
| 217 |
+
"step": 50
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 2.0,
|
| 221 |
+
"eval_loss": 1.2199333906173706,
|
| 222 |
+
"eval_runtime": 19.2449,
|
| 223 |
+
"eval_samples_per_second": 5.092,
|
| 224 |
+
"eval_steps_per_second": 0.676,
|
| 225 |
+
"step": 50
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 2.0821917808219177,
|
| 229 |
+
"grad_norm": 0.09861454367637634,
|
| 230 |
+
"learning_rate": 5.3339631687256085e-06,
|
| 231 |
+
"loss": 1.2014,
|
| 232 |
+
"step": 52
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 2.1643835616438354,
|
| 236 |
+
"grad_norm": 0.15425720810890198,
|
| 237 |
+
"learning_rate": 5e-06,
|
| 238 |
+
"loss": 1.2839,
|
| 239 |
+
"step": 54
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 2.2465753424657535,
|
| 243 |
+
"grad_norm": 0.11441768705844879,
|
| 244 |
+
"learning_rate": 4.666036831274392e-06,
|
| 245 |
+
"loss": 1.2593,
|
| 246 |
+
"step": 56
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 2.328767123287671,
|
| 250 |
+
"grad_norm": 0.12073297798633575,
|
| 251 |
+
"learning_rate": 4.333565223131107e-06,
|
| 252 |
+
"loss": 1.2017,
|
| 253 |
+
"step": 58
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 2.410958904109589,
|
| 257 |
+
"grad_norm": 0.10798311233520508,
|
| 258 |
+
"learning_rate": 4.004070074480821e-06,
|
| 259 |
+
"loss": 1.2151,
|
| 260 |
+
"step": 60
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 2.410958904109589,
|
| 264 |
+
"eval_loss": 1.2112778425216675,
|
| 265 |
+
"eval_runtime": 19.2563,
|
| 266 |
+
"eval_samples_per_second": 5.089,
|
| 267 |
+
"eval_steps_per_second": 0.675,
|
| 268 |
+
"step": 60
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 2.493150684931507,
|
| 272 |
+
"grad_norm": 0.13529442250728607,
|
| 273 |
+
"learning_rate": 3.6790229906435706e-06,
|
| 274 |
+
"loss": 1.2172,
|
| 275 |
+
"step": 62
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 2.5753424657534247,
|
| 279 |
+
"grad_norm": 0.12152214348316193,
|
| 280 |
+
"learning_rate": 3.3598757108021546e-06,
|
| 281 |
+
"loss": 1.0483,
|
| 282 |
+
"step": 64
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 2.6575342465753424,
|
| 286 |
+
"grad_norm": 0.10495830327272415,
|
| 287 |
+
"learning_rate": 3.0480536241825263e-06,
|
| 288 |
+
"loss": 0.9833,
|
| 289 |
+
"step": 66
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.73972602739726,
|
| 293 |
+
"grad_norm": 0.14150376617908478,
|
| 294 |
+
"learning_rate": 2.74494940391949e-06,
|
| 295 |
+
"loss": 1.2046,
|
| 296 |
+
"step": 68
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.821917808219178,
|
| 300 |
+
"grad_norm": 0.13282346725463867,
|
| 301 |
+
"learning_rate": 2.4519167870404126e-06,
|
| 302 |
+
"loss": 1.2172,
|
| 303 |
+
"step": 70
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 2.821917808219178,
|
| 307 |
+
"eval_loss": 1.2051864862442017,
|
| 308 |
+
"eval_runtime": 19.2549,
|
| 309 |
+
"eval_samples_per_second": 5.09,
|
| 310 |
+
"eval_steps_per_second": 0.675,
|
| 311 |
+
"step": 70
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 2.904109589041096,
|
| 315 |
+
"grad_norm": 0.1119246855378151,
|
| 316 |
+
"learning_rate": 2.1702645283470238e-06,
|
| 317 |
+
"loss": 1.1434,
|
| 318 |
+
"step": 72
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 2.9863013698630136,
|
| 322 |
+
"grad_norm": 0.17728175222873688,
|
| 323 |
+
"learning_rate": 1.9012505551987764e-06,
|
| 324 |
+
"loss": 1.1758,
|
| 325 |
+
"step": 74
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 3.041095890410959,
|
| 329 |
+
"grad_norm": 0.11256994307041168,
|
| 330 |
+
"learning_rate": 1.646076349303884e-06,
|
| 331 |
+
"loss": 1.1473,
|
| 332 |
+
"step": 76
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 3.1232876712328768,
|
| 336 |
+
"grad_norm": 0.15829555690288544,
|
| 337 |
+
"learning_rate": 1.4058815806103542e-06,
|
| 338 |
+
"loss": 1.2417,
|
| 339 |
+
"step": 78
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 3.2054794520547945,
|
| 343 |
+
"grad_norm": 0.14603541791439056,
|
| 344 |
+
"learning_rate": 1.1817390172633402e-06,
|
| 345 |
+
"loss": 1.1332,
|
| 346 |
+
"step": 80
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 3.2054794520547945,
|
| 350 |
+
"eval_loss": 1.2019903659820557,
|
| 351 |
+
"eval_runtime": 19.2523,
|
| 352 |
+
"eval_samples_per_second": 5.09,
|
| 353 |
+
"eval_steps_per_second": 0.675,
|
| 354 |
+
"step": 80
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 3.287671232876712,
|
| 358 |
+
"grad_norm": 0.15452620387077332,
|
| 359 |
+
"learning_rate": 9.746497343621857e-07,
|
| 360 |
+
"loss": 1.165,
|
| 361 |
+
"step": 82
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 3.3698630136986303,
|
| 365 |
+
"grad_norm": 0.10398495942354202,
|
| 366 |
+
"learning_rate": 7.85538642916015e-07,
|
| 367 |
+
"loss": 1.1143,
|
| 368 |
+
"step": 84
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 3.452054794520548,
|
| 372 |
+
"grad_norm": 0.16021022200584412,
|
| 373 |
+
"learning_rate": 6.152503589666426e-07,
|
| 374 |
+
"loss": 1.106,
|
| 375 |
+
"step": 86
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 3.5342465753424657,
|
| 379 |
+
"grad_norm": 0.150944784283638,
|
| 380 |
+
"learning_rate": 4.6454543132829653e-07,
|
| 381 |
+
"loss": 1.1928,
|
| 382 |
+
"step": 88
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 3.616438356164384,
|
| 386 |
+
"grad_norm": 0.11259514093399048,
|
| 387 |
+
"learning_rate": 3.340969447919873e-07,
|
| 388 |
+
"loss": 1.1288,
|
| 389 |
+
"step": 90
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 3.616438356164384,
|
| 393 |
+
"eval_loss": 1.2003713846206665,
|
| 394 |
+
"eval_runtime": 19.307,
|
| 395 |
+
"eval_samples_per_second": 5.076,
|
| 396 |
+
"eval_steps_per_second": 0.673,
|
| 397 |
+
"step": 90
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 3.6986301369863015,
|
| 401 |
+
"grad_norm": 0.12018292397260666,
|
| 402 |
+
"learning_rate": 2.2448751396543788e-07,
|
| 403 |
+
"loss": 1.2605,
|
| 404 |
+
"step": 92
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 3.780821917808219,
|
| 408 |
+
"grad_norm": 0.10237621515989304,
|
| 409 |
+
"learning_rate": 1.3620668117481471e-07,
|
| 410 |
+
"loss": 1.1101,
|
| 411 |
+
"step": 94
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 3.863013698630137,
|
| 415 |
+
"grad_norm": 0.1295098066329956,
|
| 416 |
+
"learning_rate": 6.964873004985717e-08,
|
| 417 |
+
"loss": 1.1353,
|
| 418 |
+
"step": 96
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 3.9452054794520546,
|
| 422 |
+
"grad_norm": 0.1460503339767456,
|
| 423 |
+
"learning_rate": 2.511092455747932e-08,
|
| 424 |
+
"loss": 1.2407,
|
| 425 |
+
"step": 98
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 4.0,
|
| 429 |
+
"grad_norm": 0.24695469439029694,
|
| 430 |
+
"learning_rate": 2.792181348726941e-09,
|
| 431 |
+
"loss": 1.2212,
|
| 432 |
+
"step": 100
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 4.0,
|
| 436 |
+
"eval_loss": 1.2003129720687866,
|
| 437 |
+
"eval_runtime": 19.2931,
|
| 438 |
+
"eval_samples_per_second": 5.08,
|
| 439 |
+
"eval_steps_per_second": 0.674,
|
| 440 |
+
"step": 100
|
| 441 |
+
}
|
| 442 |
+
],
|
| 443 |
+
"logging_steps": 2,
|
| 444 |
+
"max_steps": 100,
|
| 445 |
+
"num_input_tokens_seen": 0,
|
| 446 |
+
"num_train_epochs": 4,
|
| 447 |
+
"save_steps": 500,
|
| 448 |
+
"stateful_callbacks": {
|
| 449 |
+
"EarlyStoppingCallback": {
|
| 450 |
+
"args": {
|
| 451 |
+
"early_stopping_patience": 3,
|
| 452 |
+
"early_stopping_threshold": 0.0
|
| 453 |
+
},
|
| 454 |
+
"attributes": {
|
| 455 |
+
"early_stopping_patience_counter": 0
|
| 456 |
+
}
|
| 457 |
+
},
|
| 458 |
+
"TrainerControl": {
|
| 459 |
+
"args": {
|
| 460 |
+
"should_epoch_stop": false,
|
| 461 |
+
"should_evaluate": false,
|
| 462 |
+
"should_log": false,
|
| 463 |
+
"should_save": true,
|
| 464 |
+
"should_training_stop": true
|
| 465 |
+
},
|
| 466 |
+
"attributes": {}
|
| 467 |
+
}
|
| 468 |
+
},
|
| 469 |
+
"total_flos": 2.8424199905633894e+17,
|
| 470 |
+
"train_batch_size": 12,
|
| 471 |
+
"trial_name": null,
|
| 472 |
+
"trial_params": null
|
| 473 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45b4a8c0d60f69f4ae4ac98357b10e88694cbe7970398414306e2ec15eca4b38
|
| 3 |
+
size 5777
|