Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +209 -0
- adapter_config.json +46 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +89 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +14 -0
- trainer_state.json +400 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: roy-0309/Affine-1-5FNbAdWA9umLzLTpFwfsfybcEfS66jdcWoJTVhsJL6SXxofZ
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:roy-0309/Affine-1-5FNbAdWA9umLzLTpFwfsfybcEfS66jdcWoJTVhsJL6SXxofZ
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "/root/train_web/train/models/roy-0309--Affine-1-5FNbAdWA9umLzLTpFwfsfybcEfS66jdcWoJTVhsJL6SXxofZ",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"o_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"down_proj",
|
| 36 |
+
"v_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"up_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65560346ee59dc73851f2932ab18262df62e7ff232f1089c0ceeeed63c420c40
|
| 3 |
+
size 536992880
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51e9db4efb74b1f1f5f7060be3e74ccdd73a24e8c705592c4f466583960cb557
|
| 3 |
+
size 1074512995
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c33ad9e1e1864d293fa4976239062ac531facbdac3e5c530a519ea90e2bf4cf
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:321d3dffae38e466cc8e8f00911f2ae180c60fe4907305d66a33938ae9409664
|
| 3 |
+
size 1465
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": true,
|
| 9 |
+
"model_max_length": 131072,
|
| 10 |
+
"pad_token": "<|endoftext|>",
|
| 11 |
+
"split_special_tokens": false,
|
| 12 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 13 |
+
"unk_token": null
|
| 14 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,400 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 5,
|
| 7 |
+
"global_step": 30,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 0.7555069377024969,
|
| 14 |
+
"epoch": 0.10810810810810811,
|
| 15 |
+
"grad_norm": 0.06494140625,
|
| 16 |
+
"learning_rate": 0.0,
|
| 17 |
+
"loss": 1.4478646516799927,
|
| 18 |
+
"mean_token_accuracy": 0.7140519370635351,
|
| 19 |
+
"num_tokens": 23243.0,
|
| 20 |
+
"step": 1
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 0.7560049295425415,
|
| 24 |
+
"epoch": 0.21621621621621623,
|
| 25 |
+
"grad_norm": 0.059814453125,
|
| 26 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 27 |
+
"loss": 1.4522969722747803,
|
| 28 |
+
"mean_token_accuracy": 0.7139862030744553,
|
| 29 |
+
"num_tokens": 46481.0,
|
| 30 |
+
"step": 2
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 0.7542048245668411,
|
| 34 |
+
"epoch": 0.32432432432432434,
|
| 35 |
+
"grad_norm": 0.05810546875,
|
| 36 |
+
"learning_rate": 4.000000000000001e-06,
|
| 37 |
+
"loss": 1.4361679553985596,
|
| 38 |
+
"mean_token_accuracy": 0.7170769820610682,
|
| 39 |
+
"num_tokens": 69771.0,
|
| 40 |
+
"step": 3
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.758419468998909,
|
| 44 |
+
"epoch": 0.43243243243243246,
|
| 45 |
+
"grad_norm": 0.05517578125,
|
| 46 |
+
"learning_rate": 6e-06,
|
| 47 |
+
"loss": 1.4303441047668457,
|
| 48 |
+
"mean_token_accuracy": 0.7165101716915766,
|
| 49 |
+
"num_tokens": 92954.0,
|
| 50 |
+
"step": 4
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 0.7581100612878799,
|
| 54 |
+
"epoch": 0.5405405405405406,
|
| 55 |
+
"grad_norm": 0.053466796875,
|
| 56 |
+
"learning_rate": 8.000000000000001e-06,
|
| 57 |
+
"loss": 1.4206496477127075,
|
| 58 |
+
"mean_token_accuracy": 0.7176701774199804,
|
| 59 |
+
"num_tokens": 116247.0,
|
| 60 |
+
"step": 5
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.5405405405405406,
|
| 64 |
+
"eval_entropy": 0.7647502720355988,
|
| 65 |
+
"eval_loss": 1.4109477996826172,
|
| 66 |
+
"eval_mean_token_accuracy": 0.7173480987548828,
|
| 67 |
+
"eval_num_tokens": 116247.0,
|
| 68 |
+
"eval_runtime": 2.5082,
|
| 69 |
+
"eval_samples_per_second": 4.784,
|
| 70 |
+
"eval_steps_per_second": 0.797,
|
| 71 |
+
"step": 5
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"entropy": 0.760763923327128,
|
| 75 |
+
"epoch": 0.6486486486486487,
|
| 76 |
+
"grad_norm": 0.0478515625,
|
| 77 |
+
"learning_rate": 1e-05,
|
| 78 |
+
"loss": 1.3971761465072632,
|
| 79 |
+
"mean_token_accuracy": 0.7190355559190115,
|
| 80 |
+
"num_tokens": 139452.0,
|
| 81 |
+
"step": 6
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"entropy": 0.7620154668887457,
|
| 85 |
+
"epoch": 0.7567567567567568,
|
| 86 |
+
"grad_norm": 0.04443359375,
|
| 87 |
+
"learning_rate": 9.600000000000001e-06,
|
| 88 |
+
"loss": 1.3679012060165405,
|
| 89 |
+
"mean_token_accuracy": 0.7238030383984247,
|
| 90 |
+
"num_tokens": 162759.0,
|
| 91 |
+
"step": 7
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"entropy": 0.7665750781695048,
|
| 95 |
+
"epoch": 0.8648648648648649,
|
| 96 |
+
"grad_norm": 0.04248046875,
|
| 97 |
+
"learning_rate": 9.200000000000002e-06,
|
| 98 |
+
"loss": 1.356690526008606,
|
| 99 |
+
"mean_token_accuracy": 0.7252735594908396,
|
| 100 |
+
"num_tokens": 186007.0,
|
| 101 |
+
"step": 8
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"entropy": 0.7697029163440069,
|
| 105 |
+
"epoch": 0.972972972972973,
|
| 106 |
+
"grad_norm": 0.04150390625,
|
| 107 |
+
"learning_rate": 8.8e-06,
|
| 108 |
+
"loss": 1.3409219980239868,
|
| 109 |
+
"mean_token_accuracy": 0.7272671411434809,
|
| 110 |
+
"num_tokens": 209238.0,
|
| 111 |
+
"step": 9
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"entropy": 0.7716555595397949,
|
| 115 |
+
"epoch": 1.0,
|
| 116 |
+
"grad_norm": 0.041748046875,
|
| 117 |
+
"learning_rate": 8.400000000000001e-06,
|
| 118 |
+
"loss": 1.3095864057540894,
|
| 119 |
+
"mean_token_accuracy": 0.7310146689414978,
|
| 120 |
+
"num_tokens": 214083.0,
|
| 121 |
+
"step": 10
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.0,
|
| 125 |
+
"eval_entropy": 0.7737017571926117,
|
| 126 |
+
"eval_loss": 1.3151968717575073,
|
| 127 |
+
"eval_mean_token_accuracy": 0.7290042340755463,
|
| 128 |
+
"eval_num_tokens": 214083.0,
|
| 129 |
+
"eval_runtime": 2.4636,
|
| 130 |
+
"eval_samples_per_second": 4.871,
|
| 131 |
+
"eval_steps_per_second": 0.812,
|
| 132 |
+
"step": 10
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"entropy": 0.7714254210392634,
|
| 136 |
+
"epoch": 1.1081081081081081,
|
| 137 |
+
"grad_norm": 0.039794921875,
|
| 138 |
+
"learning_rate": 8.000000000000001e-06,
|
| 139 |
+
"loss": 1.3024636507034302,
|
| 140 |
+
"mean_token_accuracy": 0.7293276637792587,
|
| 141 |
+
"num_tokens": 237309.0,
|
| 142 |
+
"step": 11
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"entropy": 0.7747663805882136,
|
| 146 |
+
"epoch": 1.2162162162162162,
|
| 147 |
+
"grad_norm": 0.039794921875,
|
| 148 |
+
"learning_rate": 7.600000000000001e-06,
|
| 149 |
+
"loss": 1.294501543045044,
|
| 150 |
+
"mean_token_accuracy": 0.7312390059232712,
|
| 151 |
+
"num_tokens": 260477.0,
|
| 152 |
+
"step": 12
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"entropy": 0.7733762711286545,
|
| 156 |
+
"epoch": 1.3243243243243243,
|
| 157 |
+
"grad_norm": 0.0390625,
|
| 158 |
+
"learning_rate": 7.2000000000000005e-06,
|
| 159 |
+
"loss": 1.2725481986999512,
|
| 160 |
+
"mean_token_accuracy": 0.7331224282582601,
|
| 161 |
+
"num_tokens": 283716.0,
|
| 162 |
+
"step": 13
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"entropy": 0.7727305938800176,
|
| 166 |
+
"epoch": 1.4324324324324325,
|
| 167 |
+
"grad_norm": 0.0390625,
|
| 168 |
+
"learning_rate": 6.800000000000001e-06,
|
| 169 |
+
"loss": 1.2624328136444092,
|
| 170 |
+
"mean_token_accuracy": 0.7335619429747263,
|
| 171 |
+
"num_tokens": 306913.0,
|
| 172 |
+
"step": 14
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"entropy": 0.7709511965513229,
|
| 176 |
+
"epoch": 1.5405405405405406,
|
| 177 |
+
"grad_norm": 0.0390625,
|
| 178 |
+
"learning_rate": 6.4000000000000006e-06,
|
| 179 |
+
"loss": 1.2448844909667969,
|
| 180 |
+
"mean_token_accuracy": 0.7347658028205236,
|
| 181 |
+
"num_tokens": 330197.0,
|
| 182 |
+
"step": 15
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 1.5405405405405406,
|
| 186 |
+
"eval_entropy": 0.7766477465629578,
|
| 187 |
+
"eval_loss": 1.2467765808105469,
|
| 188 |
+
"eval_mean_token_accuracy": 0.7340552508831024,
|
| 189 |
+
"eval_num_tokens": 330197.0,
|
| 190 |
+
"eval_runtime": 2.4603,
|
| 191 |
+
"eval_samples_per_second": 4.877,
|
| 192 |
+
"eval_steps_per_second": 0.813,
|
| 193 |
+
"step": 15
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"entropy": 0.7691091199715933,
|
| 197 |
+
"epoch": 1.6486486486486487,
|
| 198 |
+
"grad_norm": 0.038330078125,
|
| 199 |
+
"learning_rate": 6e-06,
|
| 200 |
+
"loss": 1.2266374826431274,
|
| 201 |
+
"mean_token_accuracy": 0.7370726317167282,
|
| 202 |
+
"num_tokens": 353521.0,
|
| 203 |
+
"step": 16
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"entropy": 0.7754013985395432,
|
| 207 |
+
"epoch": 1.7567567567567568,
|
| 208 |
+
"grad_norm": 0.0390625,
|
| 209 |
+
"learning_rate": 5.600000000000001e-06,
|
| 210 |
+
"loss": 1.2258557081222534,
|
| 211 |
+
"mean_token_accuracy": 0.7370856006940206,
|
| 212 |
+
"num_tokens": 376793.0,
|
| 213 |
+
"step": 17
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"entropy": 0.7713897029558817,
|
| 217 |
+
"epoch": 1.864864864864865,
|
| 218 |
+
"grad_norm": 0.0380859375,
|
| 219 |
+
"learning_rate": 5.2e-06,
|
| 220 |
+
"loss": 1.2122540473937988,
|
| 221 |
+
"mean_token_accuracy": 0.7382917404174805,
|
| 222 |
+
"num_tokens": 400077.0,
|
| 223 |
+
"step": 18
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"entropy": 0.7698435584704081,
|
| 227 |
+
"epoch": 1.972972972972973,
|
| 228 |
+
"grad_norm": 0.038330078125,
|
| 229 |
+
"learning_rate": 4.800000000000001e-06,
|
| 230 |
+
"loss": 1.1965689659118652,
|
| 231 |
+
"mean_token_accuracy": 0.7406730304161707,
|
| 232 |
+
"num_tokens": 423316.0,
|
| 233 |
+
"step": 19
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"entropy": 0.7725256482760111,
|
| 237 |
+
"epoch": 2.0,
|
| 238 |
+
"grad_norm": 0.039306640625,
|
| 239 |
+
"learning_rate": 4.4e-06,
|
| 240 |
+
"loss": 1.1841669082641602,
|
| 241 |
+
"mean_token_accuracy": 0.7414616743723551,
|
| 242 |
+
"num_tokens": 428166.0,
|
| 243 |
+
"step": 20
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 2.0,
|
| 247 |
+
"eval_entropy": 0.7773982584476471,
|
| 248 |
+
"eval_loss": 1.199079990386963,
|
| 249 |
+
"eval_mean_token_accuracy": 0.7407890260219574,
|
| 250 |
+
"eval_num_tokens": 428166.0,
|
| 251 |
+
"eval_runtime": 2.4584,
|
| 252 |
+
"eval_samples_per_second": 4.881,
|
| 253 |
+
"eval_steps_per_second": 0.814,
|
| 254 |
+
"step": 20
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"entropy": 0.7739374836285909,
|
| 258 |
+
"epoch": 2.108108108108108,
|
| 259 |
+
"grad_norm": 0.037841796875,
|
| 260 |
+
"learning_rate": 4.000000000000001e-06,
|
| 261 |
+
"loss": 1.1883115768432617,
|
| 262 |
+
"mean_token_accuracy": 0.7420839418967565,
|
| 263 |
+
"num_tokens": 451399.0,
|
| 264 |
+
"step": 21
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"entropy": 0.7725292791922888,
|
| 268 |
+
"epoch": 2.2162162162162162,
|
| 269 |
+
"grad_norm": 0.037109375,
|
| 270 |
+
"learning_rate": 3.6000000000000003e-06,
|
| 271 |
+
"loss": 1.1734648942947388,
|
| 272 |
+
"mean_token_accuracy": 0.7434294323126475,
|
| 273 |
+
"num_tokens": 474686.0,
|
| 274 |
+
"step": 22
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"entropy": 0.7727770308653513,
|
| 278 |
+
"epoch": 2.3243243243243246,
|
| 279 |
+
"grad_norm": 0.03759765625,
|
| 280 |
+
"learning_rate": 3.2000000000000003e-06,
|
| 281 |
+
"loss": 1.1688286066055298,
|
| 282 |
+
"mean_token_accuracy": 0.7453656494617462,
|
| 283 |
+
"num_tokens": 497937.0,
|
| 284 |
+
"step": 23
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"entropy": 0.7705194850762686,
|
| 288 |
+
"epoch": 2.4324324324324325,
|
| 289 |
+
"grad_norm": 0.037353515625,
|
| 290 |
+
"learning_rate": 2.8000000000000003e-06,
|
| 291 |
+
"loss": 1.1595253944396973,
|
| 292 |
+
"mean_token_accuracy": 0.7453472961982092,
|
| 293 |
+
"num_tokens": 521221.0,
|
| 294 |
+
"step": 24
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"entropy": 0.7714516917864481,
|
| 298 |
+
"epoch": 2.5405405405405403,
|
| 299 |
+
"grad_norm": 0.037109375,
|
| 300 |
+
"learning_rate": 2.4000000000000003e-06,
|
| 301 |
+
"loss": 1.164218783378601,
|
| 302 |
+
"mean_token_accuracy": 0.7445596506198248,
|
| 303 |
+
"num_tokens": 544500.0,
|
| 304 |
+
"step": 25
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 2.5405405405405403,
|
| 308 |
+
"eval_entropy": 0.7762394845485687,
|
| 309 |
+
"eval_loss": 1.1709049940109253,
|
| 310 |
+
"eval_mean_token_accuracy": 0.7427328824996948,
|
| 311 |
+
"eval_num_tokens": 544500.0,
|
| 312 |
+
"eval_runtime": 2.4586,
|
| 313 |
+
"eval_samples_per_second": 4.881,
|
| 314 |
+
"eval_steps_per_second": 0.813,
|
| 315 |
+
"step": 25
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"entropy": 0.7758622417847315,
|
| 319 |
+
"epoch": 2.6486486486486487,
|
| 320 |
+
"grad_norm": 0.037841796875,
|
| 321 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 322 |
+
"loss": 1.1615042686462402,
|
| 323 |
+
"mean_token_accuracy": 0.7436568190654119,
|
| 324 |
+
"num_tokens": 567654.0,
|
| 325 |
+
"step": 26
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"entropy": 0.7720395823319753,
|
| 329 |
+
"epoch": 2.756756756756757,
|
| 330 |
+
"grad_norm": 0.03759765625,
|
| 331 |
+
"learning_rate": 1.6000000000000001e-06,
|
| 332 |
+
"loss": 1.151614785194397,
|
| 333 |
+
"mean_token_accuracy": 0.7442129651705424,
|
| 334 |
+
"num_tokens": 590913.0,
|
| 335 |
+
"step": 27
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"entropy": 0.7733467568953832,
|
| 339 |
+
"epoch": 2.864864864864865,
|
| 340 |
+
"grad_norm": 0.037353515625,
|
| 341 |
+
"learning_rate": 1.2000000000000002e-06,
|
| 342 |
+
"loss": 1.1556271314620972,
|
| 343 |
+
"mean_token_accuracy": 0.7446945160627365,
|
| 344 |
+
"num_tokens": 614138.0,
|
| 345 |
+
"step": 28
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"entropy": 0.7718540579080582,
|
| 349 |
+
"epoch": 2.972972972972973,
|
| 350 |
+
"grad_norm": 0.03759765625,
|
| 351 |
+
"learning_rate": 8.000000000000001e-07,
|
| 352 |
+
"loss": 1.1523997783660889,
|
| 353 |
+
"mean_token_accuracy": 0.7444420705238978,
|
| 354 |
+
"num_tokens": 637411.0,
|
| 355 |
+
"step": 29
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"entropy": 0.7697569529215494,
|
| 359 |
+
"epoch": 3.0,
|
| 360 |
+
"grad_norm": 0.038330078125,
|
| 361 |
+
"learning_rate": 4.0000000000000003e-07,
|
| 362 |
+
"loss": 1.1426969766616821,
|
| 363 |
+
"mean_token_accuracy": 0.7479291160901388,
|
| 364 |
+
"num_tokens": 642249.0,
|
| 365 |
+
"step": 30
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 3.0,
|
| 369 |
+
"eval_entropy": 0.775920033454895,
|
| 370 |
+
"eval_loss": 1.1602760553359985,
|
| 371 |
+
"eval_mean_token_accuracy": 0.7437030673027039,
|
| 372 |
+
"eval_num_tokens": 642249.0,
|
| 373 |
+
"eval_runtime": 2.4597,
|
| 374 |
+
"eval_samples_per_second": 4.879,
|
| 375 |
+
"eval_steps_per_second": 0.813,
|
| 376 |
+
"step": 30
|
| 377 |
+
}
|
| 378 |
+
],
|
| 379 |
+
"logging_steps": 1,
|
| 380 |
+
"max_steps": 30,
|
| 381 |
+
"num_input_tokens_seen": 0,
|
| 382 |
+
"num_train_epochs": 3,
|
| 383 |
+
"save_steps": 5,
|
| 384 |
+
"stateful_callbacks": {
|
| 385 |
+
"TrainerControl": {
|
| 386 |
+
"args": {
|
| 387 |
+
"should_epoch_stop": false,
|
| 388 |
+
"should_evaluate": false,
|
| 389 |
+
"should_log": false,
|
| 390 |
+
"should_save": true,
|
| 391 |
+
"should_training_stop": true
|
| 392 |
+
},
|
| 393 |
+
"attributes": {}
|
| 394 |
+
}
|
| 395 |
+
},
|
| 396 |
+
"total_flos": 1.249982918825472e+17,
|
| 397 |
+
"train_batch_size": 2,
|
| 398 |
+
"trial_name": null,
|
| 399 |
+
"trial_params": null
|
| 400 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:99fa1e0fd0630edd3afde6058431319425b2d5386fc60a39099edcb7f282085b
|
| 3 |
+
size 5649
|