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Browse files- .gitattributes +4 -0
- 72/229/README.md +208 -0
- 72/229/adapter_config.json +46 -0
- 72/229/adapter_model.safetensors +3 -0
- 72/229/chat_template.jinja +54 -0
- 72/229/optimizer.pt +3 -0
- 72/229/rng_state.pth +3 -0
- 72/229/scheduler.pt +3 -0
- 72/229/tokenizer.json +3 -0
- 72/229/tokenizer_config.json +30 -0
- 72/229/trainer_state.json +74 -0
- 72/229/training_args.bin +3 -0
- 72/README.md +60 -0
- 72/adapter_config.json +46 -0
- 72/adapter_model.safetensors +3 -0
- 72/all_results.json +9 -0
- 72/chat_template.jinja +54 -0
- 72/checkpoint-40/README.md +208 -0
- 72/checkpoint-40/adapter_config.json +46 -0
- 72/checkpoint-40/adapter_model.safetensors +3 -0
- 72/checkpoint-40/chat_template.jinja +54 -0
- 72/checkpoint-40/optimizer.pt +3 -0
- 72/checkpoint-40/rng_state.pth +3 -0
- 72/checkpoint-40/scheduler.pt +3 -0
- 72/checkpoint-40/tokenizer.json +3 -0
- 72/checkpoint-40/tokenizer_config.json +30 -0
- 72/checkpoint-40/trainer_state.json +114 -0
- 72/checkpoint-40/training_args.bin +3 -0
- 72/checkpoint-60/README.md +208 -0
- 72/checkpoint-60/adapter_config.json +46 -0
- 72/checkpoint-60/adapter_model.safetensors +3 -0
- 72/checkpoint-60/chat_template.jinja +54 -0
- 72/checkpoint-60/optimizer.pt +3 -0
- 72/checkpoint-60/rng_state.pth +3 -0
- 72/checkpoint-60/scheduler.pt +3 -0
- 72/checkpoint-60/tokenizer.json +3 -0
- 72/checkpoint-60/tokenizer_config.json +30 -0
- 72/checkpoint-60/trainer_state.json +154 -0
- 72/checkpoint-60/training_args.bin +3 -0
- 72/llamaboard_config.yaml +85 -0
- 72/running_log.txt +1191 -0
- 72/tokenizer.json +3 -0
- 72/tokenizer_config.json +30 -0
- 72/train_results.json +9 -0
- 72/trainer_log.jsonl +13 -0
- 72/trainer_state.json +164 -0
- 72/training_args.bin +3 -0
- 72/training_args.yaml +35 -0
- 72/training_loss.png +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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72/229/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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72/checkpoint-40/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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72/checkpoint-60/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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72/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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72/229/README.md
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
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| 7 |
+
- llama-factory
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| 8 |
+
- lora
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| 9 |
+
- transformers
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
# Model Card for Model ID
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| 13 |
+
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| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
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| 16 |
+
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| 17 |
+
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| 18 |
+
## Model Details
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| 19 |
+
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| 20 |
+
### Model Description
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| 21 |
+
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| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
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| 24 |
+
|
| 25 |
+
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| 26 |
+
- **Developed by:** [More Information Needed]
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| 27 |
+
- **Funded by [optional]:** [More Information Needed]
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| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
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## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
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| 167 |
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[More Information Needed]
|
| 168 |
+
|
| 169 |
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#### Hardware
|
| 170 |
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| 171 |
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[More Information Needed]
|
| 172 |
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| 173 |
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#### Software
|
| 174 |
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| 175 |
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[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.18.1
|
72/229/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
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| 1 |
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{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4",
|
| 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": 0.1,
|
| 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 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"gate_proj",
|
| 36 |
+
"down_proj",
|
| 37 |
+
"up_proj",
|
| 38 |
+
"o_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 |
+
}
|
72/229/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:2a971e020adc791218b999c21816558c423845cf5599dd827ddd9f550e0efb97
|
| 3 |
+
size 1688359960
|
72/229/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
72/229/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:81795a2a6f2c1c38c31d2825f96ad13c6c1c0f3ec8bb2949f0986ae013deec02
|
| 3 |
+
size 3377363395
|
72/229/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:78595db482a95d75737f52c94f17b81e1842fb393e8a496b9bea76d4b07d5877
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| 3 |
+
size 14645
|
72/229/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 1465
|
72/229/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
+
size 11421892
|
72/229/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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|
| 4 |
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|
| 6 |
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"eos_token": "<|im_end|>",
|
| 7 |
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"errors": "replace",
|
| 8 |
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|
| 9 |
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"<|im_start|>",
|
| 10 |
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"<|im_end|>",
|
| 11 |
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"<|object_ref_start|>",
|
| 12 |
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"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
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"<|video_pad|>"
|
| 22 |
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],
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| 23 |
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"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"padding_side": "right",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|
72/229/trainer_state.json
ADDED
|
@@ -0,0 +1,74 @@
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|
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|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
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{
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|
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|
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"is_local_process_zero": true,
|
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"is_world_process_zero": true,
|
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"log_history": [
|
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{
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"learning_rate": 4.9692208514878444e-05,
|
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"loss": 2.557632255554199,
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|
| 18 |
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"step": 5,
|
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"train_runtime": 1061.9262,
|
| 20 |
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"train_tokens_per_second": 326.139
|
| 21 |
+
},
|
| 22 |
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{
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"epoch": 2.571428571428571,
|
| 24 |
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"grad_norm": 0.20870207250118256,
|
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"learning_rate": 4.8454783398062106e-05,
|
| 26 |
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"loss": 2.432936096191406,
|
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"num_input_tokens_seen": 705016,
|
| 28 |
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"step": 10,
|
| 29 |
+
"train_runtime": 2156.4566,
|
| 30 |
+
"train_tokens_per_second": 326.933
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 3.857142857142857,
|
| 34 |
+
"grad_norm": 0.1494155377149582,
|
| 35 |
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"learning_rate": 4.6316004108852305e-05,
|
| 36 |
+
"loss": 2.3525007247924803,
|
| 37 |
+
"num_input_tokens_seen": 1041296,
|
| 38 |
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"step": 15,
|
| 39 |
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"train_runtime": 3196.4466,
|
| 40 |
+
"train_tokens_per_second": 325.767
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"epoch": 5.0,
|
| 44 |
+
"grad_norm": 0.17206469178199768,
|
| 45 |
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"learning_rate": 4.335806273589214e-05,
|
| 46 |
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"loss": 2.2965370178222657,
|
| 47 |
+
"num_input_tokens_seen": 1358800,
|
| 48 |
+
"step": 20,
|
| 49 |
+
"train_runtime": 4165.9384,
|
| 50 |
+
"train_tokens_per_second": 326.169
|
| 51 |
+
}
|
| 52 |
+
],
|
| 53 |
+
"logging_steps": 5,
|
| 54 |
+
"max_steps": 80,
|
| 55 |
+
"num_input_tokens_seen": 1358800,
|
| 56 |
+
"num_train_epochs": 20,
|
| 57 |
+
"save_steps": 20,
|
| 58 |
+
"stateful_callbacks": {
|
| 59 |
+
"TrainerControl": {
|
| 60 |
+
"args": {
|
| 61 |
+
"should_epoch_stop": false,
|
| 62 |
+
"should_evaluate": false,
|
| 63 |
+
"should_log": false,
|
| 64 |
+
"should_save": true,
|
| 65 |
+
"should_training_stop": false
|
| 66 |
+
},
|
| 67 |
+
"attributes": {}
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
"total_flos": 1.3607667597312e+16,
|
| 71 |
+
"train_batch_size": 1,
|
| 72 |
+
"trial_name": null,
|
| 73 |
+
"trial_params": null
|
| 74 |
+
}
|
72/229/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b70be08810f61028ef84ab71566ed75f3e27e3ed7cd48a3b96c9124bd7cadbbb
|
| 3 |
+
size 5585
|
72/README.md
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
license: other
|
| 4 |
+
base_model: Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 7 |
+
- llama-factory
|
| 8 |
+
- lora
|
| 9 |
+
- transformers
|
| 10 |
+
pipeline_tag: text-generation
|
| 11 |
+
model-index:
|
| 12 |
+
- name: '72'
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# 72
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4) on the historical_sleep_story dataset.
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-05
|
| 41 |
+
- train_batch_size: 1
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 64
|
| 45 |
+
- total_train_batch_size: 64
|
| 46 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 47 |
+
- lr_scheduler_type: cosine
|
| 48 |
+
- num_epochs: 20.0
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
### Framework versions
|
| 55 |
+
|
| 56 |
+
- PEFT 0.18.1
|
| 57 |
+
- Transformers 5.0.0
|
| 58 |
+
- Pytorch 2.10.0+cu128
|
| 59 |
+
- Datasets 4.0.0
|
| 60 |
+
- Tokenizers 0.22.2
|
72/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4",
|
| 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": 0.1,
|
| 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 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"gate_proj",
|
| 36 |
+
"down_proj",
|
| 37 |
+
"up_proj",
|
| 38 |
+
"o_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 |
+
}
|
72/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f317dae4a8498ce6c741f6505432db43247a0341a55ab732abd11e6284dea0d0
|
| 3 |
+
size 1688359960
|
72/all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 15.0,
|
| 3 |
+
"num_input_tokens_seen": 4085560,
|
| 4 |
+
"total_flos": 4.09147353759744e+16,
|
| 5 |
+
"train_loss": 2.195078119387229,
|
| 6 |
+
"train_runtime": 12540.6077,
|
| 7 |
+
"train_samples_per_second": 0.357,
|
| 8 |
+
"train_steps_per_second": 0.006
|
| 9 |
+
}
|
72/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
72/checkpoint-40/README.md
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 7 |
+
- llama-factory
|
| 8 |
+
- lora
|
| 9 |
+
- transformers
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Model ID
|
| 13 |
+
|
| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
- **Developed by:** [More Information Needed]
|
| 27 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.18.1
|
72/checkpoint-40/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
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|
|
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|
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|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4",
|
| 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": 0.1,
|
| 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 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"gate_proj",
|
| 36 |
+
"down_proj",
|
| 37 |
+
"up_proj",
|
| 38 |
+
"o_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 |
+
}
|
72/checkpoint-40/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf3dee3d365107d2aeec43c82abc348d74564b2e2896bea58a4de89277bd2d6d
|
| 3 |
+
size 1688359960
|
72/checkpoint-40/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
72/checkpoint-40/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6c6c57a86a092ac6775d63d61c0b533a8676ad07d4b6fb214a4dadc765e41554
|
| 3 |
+
size 3377363395
|
72/checkpoint-40/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fba3561c3ec15002364a6be1cb991800f7f6c51e5dd7a6a7b01dbc59dd46e9ed
|
| 3 |
+
size 14645
|
72/checkpoint-40/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c07693346cd2d28a5391feee426ba3efb7c029a9c1d9cce1cbfe76ce4f6cbc5
|
| 3 |
+
size 1465
|
72/checkpoint-40/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
72/checkpoint-40/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"padding_side": "right",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|
72/checkpoint-40/trainer_state.json
ADDED
|
@@ -0,0 +1,114 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 10.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 40,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 1.2857142857142856,
|
| 14 |
+
"grad_norm": 0.2836259603500366,
|
| 15 |
+
"learning_rate": 4.9692208514878444e-05,
|
| 16 |
+
"loss": 2.557632255554199,
|
| 17 |
+
"num_input_tokens_seen": 346336,
|
| 18 |
+
"step": 5,
|
| 19 |
+
"train_runtime": 1061.9262,
|
| 20 |
+
"train_tokens_per_second": 326.139
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 2.571428571428571,
|
| 24 |
+
"grad_norm": 0.20870207250118256,
|
| 25 |
+
"learning_rate": 4.8454783398062106e-05,
|
| 26 |
+
"loss": 2.432936096191406,
|
| 27 |
+
"num_input_tokens_seen": 705016,
|
| 28 |
+
"step": 10,
|
| 29 |
+
"train_runtime": 2156.4566,
|
| 30 |
+
"train_tokens_per_second": 326.933
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 3.857142857142857,
|
| 34 |
+
"grad_norm": 0.1494155377149582,
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|
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}
|
72/checkpoint-40/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:b70be08810f61028ef84ab71566ed75f3e27e3ed7cd48a3b96c9124bd7cadbbb
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| 3 |
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size 5585
|
72/checkpoint-60/README.md
ADDED
|
@@ -0,0 +1,208 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 7 |
+
- llama-factory
|
| 8 |
+
- lora
|
| 9 |
+
- transformers
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Model ID
|
| 13 |
+
|
| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
- **Developed by:** [More Information Needed]
|
| 27 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.18.1
|
72/checkpoint-60/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
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|
| 1 |
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{
|
| 2 |
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"alora_invocation_tokens": null,
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"base_model_name_or_path": "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4",
|
| 7 |
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"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
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"init_lora_weights": true,
|
| 15 |
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|
| 16 |
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|
| 17 |
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"layers_to_transform": null,
|
| 18 |
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|
| 19 |
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| 20 |
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|
| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
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"modules_to_save": null,
|
| 25 |
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"peft_type": "LORA",
|
| 26 |
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"peft_version": "0.18.1",
|
| 27 |
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"qalora_group_size": 16,
|
| 28 |
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"r": 32,
|
| 29 |
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|
| 30 |
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|
| 31 |
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"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"gate_proj",
|
| 36 |
+
"down_proj",
|
| 37 |
+
"up_proj",
|
| 38 |
+
"o_proj"
|
| 39 |
+
],
|
| 40 |
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"target_parameters": null,
|
| 41 |
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"task_type": "CAUSAL_LM",
|
| 42 |
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"trainable_token_indices": null,
|
| 43 |
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"use_dora": false,
|
| 44 |
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"use_qalora": false,
|
| 45 |
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|
| 46 |
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}
|
72/checkpoint-60/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f317dae4a8498ce6c741f6505432db43247a0341a55ab732abd11e6284dea0d0
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| 3 |
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size 1688359960
|
72/checkpoint-60/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
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|
|
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|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# 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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
72/checkpoint-60/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:5ddd7b87ce15f00cb180447408d6bc482a371485dbb41c2602a48f18e859f042
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| 3 |
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size 3377363395
|
72/checkpoint-60/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:11dbacd87dd479df99e2b4b3797197d5708c30c4d6490de4c1aae6368aa9762f
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| 3 |
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size 14645
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72/checkpoint-60/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1465
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72/checkpoint-60/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 11421892
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72/checkpoint-60/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
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|
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|
|
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|
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|
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|
| 1 |
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{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
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|
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|
| 6 |
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|
| 7 |
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"errors": "replace",
|
| 8 |
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|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
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"<|object_ref_start|>",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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"<|video_pad|>"
|
| 22 |
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],
|
| 23 |
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"is_local": false,
|
| 24 |
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"model_max_length": 131072,
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| 25 |
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"pad_token": "<|endoftext|>",
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| 26 |
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| 27 |
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| 28 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
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| 30 |
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}
|
72/checkpoint-60/trainer_state.json
ADDED
|
@@ -0,0 +1,154 @@
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| 101 |
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|
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| 111 |
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|
| 119 |
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|
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|
| 121 |
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|
| 122 |
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{
|
| 123 |
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"epoch": 15.0,
|
| 124 |
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"grad_norm": 0.3054792881011963,
|
| 125 |
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| 126 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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}
|
| 132 |
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|
| 133 |
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|
| 134 |
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"max_steps": 80,
|
| 135 |
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"num_input_tokens_seen": 4076400,
|
| 136 |
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"num_train_epochs": 20,
|
| 137 |
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"save_steps": 20,
|
| 138 |
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"stateful_callbacks": {
|
| 139 |
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"TrainerControl": {
|
| 140 |
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"args": {
|
| 141 |
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"should_epoch_stop": false,
|
| 142 |
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"should_evaluate": false,
|
| 143 |
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|
| 144 |
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"should_save": true,
|
| 145 |
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"should_training_stop": false
|
| 146 |
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},
|
| 147 |
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"attributes": {}
|
| 148 |
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}
|
| 149 |
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},
|
| 150 |
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"total_flos": 4.0823002791936e+16,
|
| 151 |
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| 152 |
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| 153 |
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|
| 154 |
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}
|
72/checkpoint-60/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b70be08810f61028ef84ab71566ed75f3e27e3ed7cd48a3b96c9124bd7cadbbb
|
| 3 |
+
size 5585
|
72/llamaboard_config.yaml
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
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|
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|
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|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
top.booster: auto
|
| 2 |
+
top.checkpoint_path: []
|
| 3 |
+
top.finetuning_type: lora
|
| 4 |
+
top.model_name: Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 5 |
+
top.quantization_bit: none
|
| 6 |
+
top.quantization_method: bnb
|
| 7 |
+
top.rope_scaling: none
|
| 8 |
+
top.template: qwen
|
| 9 |
+
train.additional_target: ''
|
| 10 |
+
train.apollo_rank: 16
|
| 11 |
+
train.apollo_scale: 32
|
| 12 |
+
train.apollo_target: all
|
| 13 |
+
train.apollo_update_interval: 200
|
| 14 |
+
train.badam_mode: layer
|
| 15 |
+
train.badam_switch_interval: 50
|
| 16 |
+
train.badam_switch_mode: ascending
|
| 17 |
+
train.badam_update_ratio: 0.05
|
| 18 |
+
train.batch_size: 1
|
| 19 |
+
train.compute_type: bf16
|
| 20 |
+
train.create_new_adapter: false
|
| 21 |
+
train.cutoff_len: 4096
|
| 22 |
+
train.dataset:
|
| 23 |
+
- historical_sleep_story
|
| 24 |
+
train.dataset_dir: data
|
| 25 |
+
train.ds_offload: false
|
| 26 |
+
train.ds_stage: none
|
| 27 |
+
train.enable_thinking: false
|
| 28 |
+
train.extra_args: '{"optim": "adamw_torch", "gradient_checkpointing": true}'
|
| 29 |
+
train.freeze_extra_modules: ''
|
| 30 |
+
train.freeze_language_model: false
|
| 31 |
+
train.freeze_multi_modal_projector: true
|
| 32 |
+
train.freeze_trainable_layers: 2
|
| 33 |
+
train.freeze_trainable_modules: all
|
| 34 |
+
train.freeze_vision_tower: true
|
| 35 |
+
train.galore_rank: 16
|
| 36 |
+
train.galore_scale: 2
|
| 37 |
+
train.galore_target: all
|
| 38 |
+
train.galore_update_interval: 200
|
| 39 |
+
train.gradient_accumulation_steps: 64
|
| 40 |
+
train.image_max_pixels: 768*768
|
| 41 |
+
train.image_min_pixels: 32*32
|
| 42 |
+
train.learning_rate: 5e-5
|
| 43 |
+
train.logging_steps: 5
|
| 44 |
+
train.lora_alpha: 64
|
| 45 |
+
train.lora_dropout: 0.1
|
| 46 |
+
train.lora_rank: 32
|
| 47 |
+
train.lora_target: ''
|
| 48 |
+
train.loraplus_lr_ratio: 0
|
| 49 |
+
train.lr_scheduler_type: cosine
|
| 50 |
+
train.mask_history: false
|
| 51 |
+
train.max_grad_norm: '1.0'
|
| 52 |
+
train.max_samples: '100000'
|
| 53 |
+
train.neat_packing: false
|
| 54 |
+
train.neftune_alpha: 0
|
| 55 |
+
train.num_train_epochs: '20'
|
| 56 |
+
train.packing: false
|
| 57 |
+
train.ppo_score_norm: false
|
| 58 |
+
train.ppo_whiten_rewards: false
|
| 59 |
+
train.pref_beta: 0.1
|
| 60 |
+
train.pref_ftx: 0
|
| 61 |
+
train.pref_loss: sigmoid
|
| 62 |
+
train.report_to: none
|
| 63 |
+
train.resize_vocab: false
|
| 64 |
+
train.reward_model: []
|
| 65 |
+
train.save_steps: 20
|
| 66 |
+
train.swanlab_api_key: ''
|
| 67 |
+
train.swanlab_link: null
|
| 68 |
+
train.swanlab_mode: cloud
|
| 69 |
+
train.swanlab_project: llamafactory
|
| 70 |
+
train.swanlab_run_name: ''
|
| 71 |
+
train.swanlab_workspace: ''
|
| 72 |
+
train.train_on_prompt: false
|
| 73 |
+
train.training_stage: Supervised Fine-Tuning
|
| 74 |
+
train.use_apollo: false
|
| 75 |
+
train.use_badam: false
|
| 76 |
+
train.use_dora: false
|
| 77 |
+
train.use_galore: false
|
| 78 |
+
train.use_llama_pro: false
|
| 79 |
+
train.use_pissa: false
|
| 80 |
+
train.use_rslora: false
|
| 81 |
+
train.use_swanlab: false
|
| 82 |
+
train.val_size: 0
|
| 83 |
+
train.video_max_pixels: 256*256
|
| 84 |
+
train.video_min_pixels: 16*16
|
| 85 |
+
train.warmup_steps: 0
|
72/running_log.txt
ADDED
|
@@ -0,0 +1,1191 @@
|
|
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| 1 |
+
[INFO|2026-02-13 01:43:22] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 2 |
+
[INFO|2026-02-13 01:43:22] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"dtype": "float16",
|
| 9 |
+
"eos_token_id": 151645,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 8192,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 29696,
|
| 14 |
+
"layer_types": [
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"full_attention",
|
| 68 |
+
"full_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"full_attention",
|
| 71 |
+
"full_attention",
|
| 72 |
+
"full_attention",
|
| 73 |
+
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"full_attention"
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+
],
|
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+
"max_position_embeddings": 32768,
|
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+
"max_window_layers": 70,
|
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+
"model_type": "qwen2",
|
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+
"num_attention_heads": 64,
|
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+
"num_hidden_layers": 80,
|
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+
"num_key_value_heads": 8,
|
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+
"pad_token_id": null,
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+
"quantization_config": {
|
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+
"batch_size": 1,
|
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+
"bits": 4,
|
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+
"block_name_to_quantize": null,
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+
"cache_block_outputs": true,
|
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+
"damp_percent": 0.01,
|
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+
"dataset": null,
|
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+
"desc_act": false,
|
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+
"exllama_config": {
|
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+
"version": 1
|
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+
},
|
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+
"group_size": 128,
|
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+
"max_input_length": null,
|
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+
"model_seqlen": null,
|
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+
"module_name_preceding_first_block": null,
|
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+
"modules_in_block_to_quantize": null,
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+
"pad_token_id": null,
|
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"quant_method": "gptq",
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"sym": true,
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"tokenizer": null,
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"true_sequential": true,
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"use_cuda_fp16": false,
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"use_exllama": true
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},
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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+
},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.0.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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+
}
|
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+
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+
[INFO|2026-02-13 01:43:24] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
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+
[INFO|2026-02-13 01:43:24] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 142 |
+
"architectures": [
|
| 143 |
+
"Qwen2ForCausalLM"
|
| 144 |
+
],
|
| 145 |
+
"attention_dropout": 0.0,
|
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+
"bos_token_id": 151643,
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+
"dtype": "float16",
|
| 148 |
+
"eos_token_id": 151645,
|
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+
"hidden_act": "silu",
|
| 150 |
+
"hidden_size": 8192,
|
| 151 |
+
"initializer_range": 0.02,
|
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+
"intermediate_size": 29696,
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+
"layer_types": [
|
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+
"full_attention",
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+
"full_attention",
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"full_attention",
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"full_attention"
|
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+
],
|
| 235 |
+
"max_position_embeddings": 32768,
|
| 236 |
+
"max_window_layers": 70,
|
| 237 |
+
"model_type": "qwen2",
|
| 238 |
+
"num_attention_heads": 64,
|
| 239 |
+
"num_hidden_layers": 80,
|
| 240 |
+
"num_key_value_heads": 8,
|
| 241 |
+
"pad_token_id": null,
|
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+
"quantization_config": {
|
| 243 |
+
"batch_size": 1,
|
| 244 |
+
"bits": 4,
|
| 245 |
+
"block_name_to_quantize": null,
|
| 246 |
+
"cache_block_outputs": true,
|
| 247 |
+
"damp_percent": 0.01,
|
| 248 |
+
"dataset": null,
|
| 249 |
+
"desc_act": false,
|
| 250 |
+
"exllama_config": {
|
| 251 |
+
"version": 1
|
| 252 |
+
},
|
| 253 |
+
"group_size": 128,
|
| 254 |
+
"max_input_length": null,
|
| 255 |
+
"model_seqlen": null,
|
| 256 |
+
"module_name_preceding_first_block": null,
|
| 257 |
+
"modules_in_block_to_quantize": null,
|
| 258 |
+
"pad_token_id": null,
|
| 259 |
+
"quant_method": "gptq",
|
| 260 |
+
"sym": true,
|
| 261 |
+
"tokenizer": null,
|
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+
"true_sequential": true,
|
| 263 |
+
"use_cuda_fp16": false,
|
| 264 |
+
"use_exllama": true
|
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+
},
|
| 266 |
+
"rms_norm_eps": 1e-06,
|
| 267 |
+
"rope_parameters": {
|
| 268 |
+
"rope_theta": 1000000.0,
|
| 269 |
+
"rope_type": "default"
|
| 270 |
+
},
|
| 271 |
+
"sliding_window": null,
|
| 272 |
+
"tie_word_embeddings": false,
|
| 273 |
+
"transformers_version": "5.0.0",
|
| 274 |
+
"use_cache": true,
|
| 275 |
+
"use_sliding_window": false,
|
| 276 |
+
"vocab_size": 152064
|
| 277 |
+
}
|
| 278 |
+
|
| 279 |
+
[INFO|2026-02-13 01:43:24] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 280 |
+
[INFO|2026-02-13 01:43:24] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 281 |
+
"architectures": [
|
| 282 |
+
"Qwen2ForCausalLM"
|
| 283 |
+
],
|
| 284 |
+
"attention_dropout": 0.0,
|
| 285 |
+
"bos_token_id": 151643,
|
| 286 |
+
"dtype": "float16",
|
| 287 |
+
"eos_token_id": 151645,
|
| 288 |
+
"hidden_act": "silu",
|
| 289 |
+
"hidden_size": 8192,
|
| 290 |
+
"initializer_range": 0.02,
|
| 291 |
+
"intermediate_size": 29696,
|
| 292 |
+
"layer_types": [
|
| 293 |
+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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|
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|
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+
"full_attention",
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"full_attention",
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"full_attention",
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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+
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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|
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+
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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+
"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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|
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"full_attention",
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|
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"full_attention",
|
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+
"full_attention"
|
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+
],
|
| 374 |
+
"max_position_embeddings": 32768,
|
| 375 |
+
"max_window_layers": 70,
|
| 376 |
+
"model_type": "qwen2",
|
| 377 |
+
"num_attention_heads": 64,
|
| 378 |
+
"num_hidden_layers": 80,
|
| 379 |
+
"num_key_value_heads": 8,
|
| 380 |
+
"pad_token_id": null,
|
| 381 |
+
"quantization_config": {
|
| 382 |
+
"batch_size": 1,
|
| 383 |
+
"bits": 4,
|
| 384 |
+
"block_name_to_quantize": null,
|
| 385 |
+
"cache_block_outputs": true,
|
| 386 |
+
"damp_percent": 0.01,
|
| 387 |
+
"dataset": null,
|
| 388 |
+
"desc_act": false,
|
| 389 |
+
"exllama_config": {
|
| 390 |
+
"version": 1
|
| 391 |
+
},
|
| 392 |
+
"group_size": 128,
|
| 393 |
+
"max_input_length": null,
|
| 394 |
+
"model_seqlen": null,
|
| 395 |
+
"module_name_preceding_first_block": null,
|
| 396 |
+
"modules_in_block_to_quantize": null,
|
| 397 |
+
"pad_token_id": null,
|
| 398 |
+
"quant_method": "gptq",
|
| 399 |
+
"sym": true,
|
| 400 |
+
"tokenizer": null,
|
| 401 |
+
"true_sequential": true,
|
| 402 |
+
"use_cuda_fp16": false,
|
| 403 |
+
"use_exllama": true
|
| 404 |
+
},
|
| 405 |
+
"rms_norm_eps": 1e-06,
|
| 406 |
+
"rope_parameters": {
|
| 407 |
+
"rope_theta": 1000000.0,
|
| 408 |
+
"rope_type": "default"
|
| 409 |
+
},
|
| 410 |
+
"sliding_window": null,
|
| 411 |
+
"tie_word_embeddings": false,
|
| 412 |
+
"transformers_version": "5.0.0",
|
| 413 |
+
"use_cache": true,
|
| 414 |
+
"use_sliding_window": false,
|
| 415 |
+
"vocab_size": 152064
|
| 416 |
+
}
|
| 417 |
+
|
| 418 |
+
[INFO|2026-02-13 01:43:25] logging.py:144 >> Loading dataset dataset.json...
|
| 419 |
+
[INFO|2026-02-13 01:43:26] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 420 |
+
[INFO|2026-02-13 01:43:26] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 421 |
+
"architectures": [
|
| 422 |
+
"Qwen2ForCausalLM"
|
| 423 |
+
],
|
| 424 |
+
"attention_dropout": 0.0,
|
| 425 |
+
"bos_token_id": 151643,
|
| 426 |
+
"dtype": "float16",
|
| 427 |
+
"eos_token_id": 151645,
|
| 428 |
+
"hidden_act": "silu",
|
| 429 |
+
"hidden_size": 8192,
|
| 430 |
+
"initializer_range": 0.02,
|
| 431 |
+
"intermediate_size": 29696,
|
| 432 |
+
"layer_types": [
|
| 433 |
+
"full_attention",
|
| 434 |
+
"full_attention",
|
| 435 |
+
"full_attention",
|
| 436 |
+
"full_attention",
|
| 437 |
+
"full_attention",
|
| 438 |
+
"full_attention",
|
| 439 |
+
"full_attention",
|
| 440 |
+
"full_attention",
|
| 441 |
+
"full_attention",
|
| 442 |
+
"full_attention",
|
| 443 |
+
"full_attention",
|
| 444 |
+
"full_attention",
|
| 445 |
+
"full_attention",
|
| 446 |
+
"full_attention",
|
| 447 |
+
"full_attention",
|
| 448 |
+
"full_attention",
|
| 449 |
+
"full_attention",
|
| 450 |
+
"full_attention",
|
| 451 |
+
"full_attention",
|
| 452 |
+
"full_attention",
|
| 453 |
+
"full_attention",
|
| 454 |
+
"full_attention",
|
| 455 |
+
"full_attention",
|
| 456 |
+
"full_attention",
|
| 457 |
+
"full_attention",
|
| 458 |
+
"full_attention",
|
| 459 |
+
"full_attention",
|
| 460 |
+
"full_attention",
|
| 461 |
+
"full_attention",
|
| 462 |
+
"full_attention",
|
| 463 |
+
"full_attention",
|
| 464 |
+
"full_attention",
|
| 465 |
+
"full_attention",
|
| 466 |
+
"full_attention",
|
| 467 |
+
"full_attention",
|
| 468 |
+
"full_attention",
|
| 469 |
+
"full_attention",
|
| 470 |
+
"full_attention",
|
| 471 |
+
"full_attention",
|
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+
"full_attention",
|
| 473 |
+
"full_attention",
|
| 474 |
+
"full_attention",
|
| 475 |
+
"full_attention",
|
| 476 |
+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
| 479 |
+
"full_attention",
|
| 480 |
+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
| 501 |
+
"full_attention",
|
| 502 |
+
"full_attention",
|
| 503 |
+
"full_attention",
|
| 504 |
+
"full_attention",
|
| 505 |
+
"full_attention",
|
| 506 |
+
"full_attention",
|
| 507 |
+
"full_attention",
|
| 508 |
+
"full_attention",
|
| 509 |
+
"full_attention",
|
| 510 |
+
"full_attention",
|
| 511 |
+
"full_attention",
|
| 512 |
+
"full_attention"
|
| 513 |
+
],
|
| 514 |
+
"max_position_embeddings": 32768,
|
| 515 |
+
"max_window_layers": 70,
|
| 516 |
+
"model_type": "qwen2",
|
| 517 |
+
"num_attention_heads": 64,
|
| 518 |
+
"num_hidden_layers": 80,
|
| 519 |
+
"num_key_value_heads": 8,
|
| 520 |
+
"pad_token_id": null,
|
| 521 |
+
"quantization_config": {
|
| 522 |
+
"batch_size": 1,
|
| 523 |
+
"bits": 4,
|
| 524 |
+
"block_name_to_quantize": null,
|
| 525 |
+
"cache_block_outputs": true,
|
| 526 |
+
"damp_percent": 0.01,
|
| 527 |
+
"dataset": null,
|
| 528 |
+
"desc_act": false,
|
| 529 |
+
"exllama_config": {
|
| 530 |
+
"version": 1
|
| 531 |
+
},
|
| 532 |
+
"group_size": 128,
|
| 533 |
+
"max_input_length": null,
|
| 534 |
+
"model_seqlen": null,
|
| 535 |
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"module_name_preceding_first_block": null,
|
| 536 |
+
"modules_in_block_to_quantize": null,
|
| 537 |
+
"pad_token_id": null,
|
| 538 |
+
"quant_method": "gptq",
|
| 539 |
+
"sym": true,
|
| 540 |
+
"tokenizer": null,
|
| 541 |
+
"true_sequential": true,
|
| 542 |
+
"use_cuda_fp16": false,
|
| 543 |
+
"use_exllama": true
|
| 544 |
+
},
|
| 545 |
+
"rms_norm_eps": 1e-06,
|
| 546 |
+
"rope_parameters": {
|
| 547 |
+
"rope_theta": 1000000.0,
|
| 548 |
+
"rope_type": "default"
|
| 549 |
+
},
|
| 550 |
+
"sliding_window": null,
|
| 551 |
+
"tie_word_embeddings": false,
|
| 552 |
+
"transformers_version": "5.0.0",
|
| 553 |
+
"use_cache": true,
|
| 554 |
+
"use_sliding_window": false,
|
| 555 |
+
"vocab_size": 152064
|
| 556 |
+
}
|
| 557 |
+
|
| 558 |
+
[INFO|2026-02-13 01:43:26] logging.py:144 >> Loading 4-bit GPTQ-quantized model.
|
| 559 |
+
[INFO|2026-02-13 01:43:26] logging.py:144 >> KV cache is disabled during training.
|
| 560 |
+
[INFO|2026-02-13 01:43:26] auto.py:249 >>
|
| 561 |
+
[INFO|2026-02-13 01:43:27] modeling_utils.py:732 >> loading weights file model.safetensors from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/model.safetensors.index.json
|
| 562 |
+
[INFO|2026-02-13 01:45:49] modeling_utils.py:801 >> Will use dtype=torch.float16 as defined in model's config object
|
| 563 |
+
[INFO|2026-02-13 01:45:49] configuration_utils.py:1014 >> Generate config GenerationConfig {
|
| 564 |
+
"bos_token_id": 151643,
|
| 565 |
+
"eos_token_id": 151645,
|
| 566 |
+
"output_attentions": false,
|
| 567 |
+
"output_hidden_states": false,
|
| 568 |
+
"use_cache": false
|
| 569 |
+
}
|
| 570 |
+
|
| 571 |
+
[WARNING|2026-02-13 01:45:50] logging.py:327 >> `loss_type=None` was set in the config but it is unrecognized. Using the default loss: `ForCausalLMLoss`.
|
| 572 |
+
[INFO|2026-02-13 01:45:55] configuration_utils.py:967 >> loading configuration file generation_config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/generation_config.json
|
| 573 |
+
[INFO|2026-02-13 01:45:55] configuration_utils.py:1014 >> Generate config GenerationConfig {
|
| 574 |
+
"bos_token_id": 151643,
|
| 575 |
+
"do_sample": true,
|
| 576 |
+
"eos_token_id": [
|
| 577 |
+
151645,
|
| 578 |
+
151643
|
| 579 |
+
],
|
| 580 |
+
"pad_token_id": 151643,
|
| 581 |
+
"repetition_penalty": 1.05,
|
| 582 |
+
"temperature": 0.7,
|
| 583 |
+
"top_k": 20,
|
| 584 |
+
"top_p": 0.8
|
| 585 |
+
}
|
| 586 |
+
|
| 587 |
+
[INFO|2026-02-13 01:45:55] dynamic_module_utils.py:406 >> Could not locate the custom_generate/generate.py inside Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4.
|
| 588 |
+
[INFO|2026-02-13 01:45:56] logging.py:144 >> Gradient checkpointing enabled.
|
| 589 |
+
[INFO|2026-02-13 01:45:56] logging.py:144 >> Using torch SDPA for faster training and inference.
|
| 590 |
+
[INFO|2026-02-13 01:45:56] logging.py:144 >> Upcasting trainable params to float32.
|
| 591 |
+
[INFO|2026-02-13 01:45:56] logging.py:144 >> Fine-tuning method: LoRA
|
| 592 |
+
[INFO|2026-02-13 01:45:56] logging.py:144 >> Found linear modules: q_proj,v_proj,k_proj,gate_proj,down_proj,up_proj,o_proj
|
| 593 |
+
[INFO|2026-02-13 01:45:58] logging.py:144 >> trainable params: 422,051,840 || all params: 2,914,787,328 || trainable%: 14.4797
|
| 594 |
+
[WARNING|2026-02-13 01:45:58] trainer.py:922 >> The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
|
| 595 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2383 >> ***** Running training *****
|
| 596 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2384 >> Num examples = 224
|
| 597 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2385 >> Num Epochs = 20
|
| 598 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2386 >> Instantaneous batch size per device = 1
|
| 599 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2389 >> Total train batch size (w. parallel, distributed & accumulation) = 64
|
| 600 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2390 >> Gradient Accumulation steps = 64
|
| 601 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2391 >> Total optimization steps = 80
|
| 602 |
+
[INFO|2026-02-13 01:45:58] trainer.py:2392 >> Number of trainable parameters = 422,051,840
|
| 603 |
+
[INFO|2026-02-13 02:03:40] logging.py:144 >> {'loss': 2.5576, 'learning_rate': 4.9692e-05, 'epoch': 1.29, 'throughput': 326.14}
|
| 604 |
+
[INFO|2026-02-13 02:21:54] logging.py:144 >> {'loss': 2.4329, 'learning_rate': 4.8455e-05, 'epoch': 2.57, 'throughput': 326.93}
|
| 605 |
+
[INFO|2026-02-13 02:39:14] logging.py:144 >> {'loss': 2.3525, 'learning_rate': 4.6316e-05, 'epoch': 3.86, 'throughput': 325.77}
|
| 606 |
+
[INFO|2026-02-13 02:55:24] logging.py:144 >> {'loss': 2.2965, 'learning_rate': 4.3358e-05, 'epoch': 5.00, 'throughput': 326.17}
|
| 607 |
+
[INFO|2026-02-13 02:55:24] trainer.py:4115 >> Saving model checkpoint to saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-20
|
| 608 |
+
[INFO|2026-02-13 02:55:24] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 609 |
+
[INFO|2026-02-13 02:55:24] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 610 |
+
"architectures": [
|
| 611 |
+
"Qwen2ForCausalLM"
|
| 612 |
+
],
|
| 613 |
+
"attention_dropout": 0.0,
|
| 614 |
+
"bos_token_id": 151643,
|
| 615 |
+
"dtype": "float16",
|
| 616 |
+
"eos_token_id": 151645,
|
| 617 |
+
"hidden_act": "silu",
|
| 618 |
+
"hidden_size": 8192,
|
| 619 |
+
"initializer_range": 0.02,
|
| 620 |
+
"intermediate_size": 29696,
|
| 621 |
+
"layer_types": [
|
| 622 |
+
"full_attention",
|
| 623 |
+
"full_attention",
|
| 624 |
+
"full_attention",
|
| 625 |
+
"full_attention",
|
| 626 |
+
"full_attention",
|
| 627 |
+
"full_attention",
|
| 628 |
+
"full_attention",
|
| 629 |
+
"full_attention",
|
| 630 |
+
"full_attention",
|
| 631 |
+
"full_attention",
|
| 632 |
+
"full_attention",
|
| 633 |
+
"full_attention",
|
| 634 |
+
"full_attention",
|
| 635 |
+
"full_attention",
|
| 636 |
+
"full_attention",
|
| 637 |
+
"full_attention",
|
| 638 |
+
"full_attention",
|
| 639 |
+
"full_attention",
|
| 640 |
+
"full_attention",
|
| 641 |
+
"full_attention",
|
| 642 |
+
"full_attention",
|
| 643 |
+
"full_attention",
|
| 644 |
+
"full_attention",
|
| 645 |
+
"full_attention",
|
| 646 |
+
"full_attention",
|
| 647 |
+
"full_attention",
|
| 648 |
+
"full_attention",
|
| 649 |
+
"full_attention",
|
| 650 |
+
"full_attention",
|
| 651 |
+
"full_attention",
|
| 652 |
+
"full_attention",
|
| 653 |
+
"full_attention",
|
| 654 |
+
"full_attention",
|
| 655 |
+
"full_attention",
|
| 656 |
+
"full_attention",
|
| 657 |
+
"full_attention",
|
| 658 |
+
"full_attention",
|
| 659 |
+
"full_attention",
|
| 660 |
+
"full_attention",
|
| 661 |
+
"full_attention",
|
| 662 |
+
"full_attention",
|
| 663 |
+
"full_attention",
|
| 664 |
+
"full_attention",
|
| 665 |
+
"full_attention",
|
| 666 |
+
"full_attention",
|
| 667 |
+
"full_attention",
|
| 668 |
+
"full_attention",
|
| 669 |
+
"full_attention",
|
| 670 |
+
"full_attention",
|
| 671 |
+
"full_attention",
|
| 672 |
+
"full_attention",
|
| 673 |
+
"full_attention",
|
| 674 |
+
"full_attention",
|
| 675 |
+
"full_attention",
|
| 676 |
+
"full_attention",
|
| 677 |
+
"full_attention",
|
| 678 |
+
"full_attention",
|
| 679 |
+
"full_attention",
|
| 680 |
+
"full_attention",
|
| 681 |
+
"full_attention",
|
| 682 |
+
"full_attention",
|
| 683 |
+
"full_attention",
|
| 684 |
+
"full_attention",
|
| 685 |
+
"full_attention",
|
| 686 |
+
"full_attention",
|
| 687 |
+
"full_attention",
|
| 688 |
+
"full_attention",
|
| 689 |
+
"full_attention",
|
| 690 |
+
"full_attention",
|
| 691 |
+
"full_attention",
|
| 692 |
+
"full_attention",
|
| 693 |
+
"full_attention",
|
| 694 |
+
"full_attention",
|
| 695 |
+
"full_attention",
|
| 696 |
+
"full_attention",
|
| 697 |
+
"full_attention",
|
| 698 |
+
"full_attention",
|
| 699 |
+
"full_attention",
|
| 700 |
+
"full_attention",
|
| 701 |
+
"full_attention"
|
| 702 |
+
],
|
| 703 |
+
"max_position_embeddings": 32768,
|
| 704 |
+
"max_window_layers": 70,
|
| 705 |
+
"model_type": "qwen2",
|
| 706 |
+
"num_attention_heads": 64,
|
| 707 |
+
"num_hidden_layers": 80,
|
| 708 |
+
"num_key_value_heads": 8,
|
| 709 |
+
"pad_token_id": null,
|
| 710 |
+
"quantization_config": {
|
| 711 |
+
"batch_size": 1,
|
| 712 |
+
"bits": 4,
|
| 713 |
+
"block_name_to_quantize": null,
|
| 714 |
+
"cache_block_outputs": true,
|
| 715 |
+
"damp_percent": 0.01,
|
| 716 |
+
"dataset": null,
|
| 717 |
+
"desc_act": false,
|
| 718 |
+
"exllama_config": {
|
| 719 |
+
"version": 1
|
| 720 |
+
},
|
| 721 |
+
"group_size": 128,
|
| 722 |
+
"max_input_length": null,
|
| 723 |
+
"model_seqlen": null,
|
| 724 |
+
"module_name_preceding_first_block": null,
|
| 725 |
+
"modules_in_block_to_quantize": null,
|
| 726 |
+
"pad_token_id": null,
|
| 727 |
+
"quant_method": "gptq",
|
| 728 |
+
"sym": true,
|
| 729 |
+
"tokenizer": null,
|
| 730 |
+
"true_sequential": true,
|
| 731 |
+
"use_cuda_fp16": false,
|
| 732 |
+
"use_exllama": true
|
| 733 |
+
},
|
| 734 |
+
"rms_norm_eps": 1e-06,
|
| 735 |
+
"rope_parameters": {
|
| 736 |
+
"rope_theta": 1000000.0,
|
| 737 |
+
"rope_type": "default"
|
| 738 |
+
},
|
| 739 |
+
"sliding_window": null,
|
| 740 |
+
"tie_word_embeddings": false,
|
| 741 |
+
"transformers_version": "5.0.0",
|
| 742 |
+
"use_cache": true,
|
| 743 |
+
"use_sliding_window": false,
|
| 744 |
+
"vocab_size": 152064
|
| 745 |
+
}
|
| 746 |
+
|
| 747 |
+
[INFO|2026-02-13 02:55:25] tokenization_utils_base.py:3327 >> chat template saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-20/chat_template.jinja
|
| 748 |
+
[INFO|2026-02-13 02:55:25] tokenization_utils_base.py:2181 >> tokenizer config file saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-20/tokenizer_config.json
|
| 749 |
+
[INFO|2026-02-13 03:13:07] logging.py:144 >> {'loss': 2.2461, 'learning_rate': 3.9695e-05, 'epoch': 6.29, 'throughput': 325.81}
|
| 750 |
+
[INFO|2026-02-13 03:30:58] logging.py:144 >> {'loss': 2.1893, 'learning_rate': 3.5466e-05, 'epoch': 7.57, 'throughput': 325.78}
|
| 751 |
+
[INFO|2026-02-13 03:49:14] logging.py:144 >> {'loss': 2.1421, 'learning_rate': 3.0836e-05, 'epoch': 8.86, 'throughput': 326.18}
|
| 752 |
+
[INFO|2026-02-13 04:04:54] logging.py:144 >> {'loss': 2.0971, 'learning_rate': 2.5981e-05, 'epoch': 10.00, 'throughput': 326.00}
|
| 753 |
+
[INFO|2026-02-13 04:04:54] trainer.py:4115 >> Saving model checkpoint to saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-40
|
| 754 |
+
[INFO|2026-02-13 04:04:54] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 755 |
+
[INFO|2026-02-13 04:04:54] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 756 |
+
"architectures": [
|
| 757 |
+
"Qwen2ForCausalLM"
|
| 758 |
+
],
|
| 759 |
+
"attention_dropout": 0.0,
|
| 760 |
+
"bos_token_id": 151643,
|
| 761 |
+
"dtype": "float16",
|
| 762 |
+
"eos_token_id": 151645,
|
| 763 |
+
"hidden_act": "silu",
|
| 764 |
+
"hidden_size": 8192,
|
| 765 |
+
"initializer_range": 0.02,
|
| 766 |
+
"intermediate_size": 29696,
|
| 767 |
+
"layer_types": [
|
| 768 |
+
"full_attention",
|
| 769 |
+
"full_attention",
|
| 770 |
+
"full_attention",
|
| 771 |
+
"full_attention",
|
| 772 |
+
"full_attention",
|
| 773 |
+
"full_attention",
|
| 774 |
+
"full_attention",
|
| 775 |
+
"full_attention",
|
| 776 |
+
"full_attention",
|
| 777 |
+
"full_attention",
|
| 778 |
+
"full_attention",
|
| 779 |
+
"full_attention",
|
| 780 |
+
"full_attention",
|
| 781 |
+
"full_attention",
|
| 782 |
+
"full_attention",
|
| 783 |
+
"full_attention",
|
| 784 |
+
"full_attention",
|
| 785 |
+
"full_attention",
|
| 786 |
+
"full_attention",
|
| 787 |
+
"full_attention",
|
| 788 |
+
"full_attention",
|
| 789 |
+
"full_attention",
|
| 790 |
+
"full_attention",
|
| 791 |
+
"full_attention",
|
| 792 |
+
"full_attention",
|
| 793 |
+
"full_attention",
|
| 794 |
+
"full_attention",
|
| 795 |
+
"full_attention",
|
| 796 |
+
"full_attention",
|
| 797 |
+
"full_attention",
|
| 798 |
+
"full_attention",
|
| 799 |
+
"full_attention",
|
| 800 |
+
"full_attention",
|
| 801 |
+
"full_attention",
|
| 802 |
+
"full_attention",
|
| 803 |
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|
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|
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|
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|
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|
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|
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|
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"full_attention",
|
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"full_attention"
|
| 848 |
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],
|
| 849 |
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"max_position_embeddings": 32768,
|
| 850 |
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|
| 851 |
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"model_type": "qwen2",
|
| 852 |
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"num_attention_heads": 64,
|
| 853 |
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|
| 854 |
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"num_key_value_heads": 8,
|
| 855 |
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|
| 856 |
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|
| 857 |
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"batch_size": 1,
|
| 858 |
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"bits": 4,
|
| 859 |
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"block_name_to_quantize": null,
|
| 860 |
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"cache_block_outputs": true,
|
| 861 |
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|
| 862 |
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|
| 863 |
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|
| 864 |
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|
| 865 |
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"version": 1
|
| 866 |
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},
|
| 867 |
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"group_size": 128,
|
| 868 |
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"max_input_length": null,
|
| 869 |
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"model_seqlen": null,
|
| 870 |
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"module_name_preceding_first_block": null,
|
| 871 |
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"modules_in_block_to_quantize": null,
|
| 872 |
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"pad_token_id": null,
|
| 873 |
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"quant_method": "gptq",
|
| 874 |
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"sym": true,
|
| 875 |
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|
| 876 |
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|
| 877 |
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"use_cuda_fp16": false,
|
| 878 |
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"use_exllama": true
|
| 879 |
+
},
|
| 880 |
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"rms_norm_eps": 1e-06,
|
| 881 |
+
"rope_parameters": {
|
| 882 |
+
"rope_theta": 1000000.0,
|
| 883 |
+
"rope_type": "default"
|
| 884 |
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},
|
| 885 |
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|
| 886 |
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|
| 887 |
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"transformers_version": "5.0.0",
|
| 888 |
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"use_cache": true,
|
| 889 |
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"use_sliding_window": false,
|
| 890 |
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"vocab_size": 152064
|
| 891 |
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}
|
| 892 |
+
|
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+
[INFO|2026-02-13 04:04:55] tokenization_utils_base.py:3327 >> chat template saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-40/chat_template.jinja
|
| 894 |
+
[INFO|2026-02-13 04:04:55] tokenization_utils_base.py:2181 >> tokenizer config file saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-40/tokenizer_config.json
|
| 895 |
+
[INFO|2026-02-13 04:22:44] logging.py:144 >> {'loss': 2.0464, 'learning_rate': 2.1089e-05, 'epoch': 11.29, 'throughput': 325.81}
|
| 896 |
+
[INFO|2026-02-13 04:40:59] logging.py:144 >> {'loss': 2.0127, 'learning_rate': 1.6347e-05, 'epoch': 12.57, 'throughput': 325.84}
|
| 897 |
+
[INFO|2026-02-13 04:58:39] logging.py:144 >> {'loss': 1.9826, 'learning_rate': 1.1938e-05, 'epoch': 13.86, 'throughput': 325.78}
|
| 898 |
+
[INFO|2026-02-13 05:14:31] logging.py:144 >> {'loss': 1.9407, 'learning_rate': 8.0300e-06, 'epoch': 15.00, 'throughput': 325.77}
|
| 899 |
+
[INFO|2026-02-13 05:14:31] trainer.py:4115 >> Saving model checkpoint to saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-60
|
| 900 |
+
[INFO|2026-02-13 05:14:31] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 901 |
+
[INFO|2026-02-13 05:14:31] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 902 |
+
"architectures": [
|
| 903 |
+
"Qwen2ForCausalLM"
|
| 904 |
+
],
|
| 905 |
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"attention_dropout": 0.0,
|
| 906 |
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"bos_token_id": 151643,
|
| 907 |
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"dtype": "float16",
|
| 908 |
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"eos_token_id": 151645,
|
| 909 |
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"hidden_act": "silu",
|
| 910 |
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"hidden_size": 8192,
|
| 911 |
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"initializer_range": 0.02,
|
| 912 |
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"intermediate_size": 29696,
|
| 913 |
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"layer_types": [
|
| 914 |
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"full_attention",
|
| 915 |
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
| 922 |
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
| 928 |
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|
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|
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|
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|
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"full_attention",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 950 |
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| 951 |
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| 964 |
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| 970 |
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"full_attention",
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| 978 |
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| 982 |
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| 990 |
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| 991 |
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"full_attention",
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| 992 |
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"full_attention",
|
| 993 |
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"full_attention"
|
| 994 |
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],
|
| 995 |
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|
| 996 |
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|
| 997 |
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|
| 998 |
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|
| 999 |
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|
| 1000 |
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|
| 1001 |
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| 1002 |
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|
| 1003 |
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|
| 1004 |
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|
| 1005 |
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| 1006 |
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|
| 1007 |
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|
| 1008 |
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|
| 1009 |
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|
| 1010 |
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|
| 1011 |
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|
| 1012 |
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},
|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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|
| 1016 |
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|
| 1017 |
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|
| 1018 |
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|
| 1019 |
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"quant_method": "gptq",
|
| 1020 |
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"sym": true,
|
| 1021 |
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|
| 1022 |
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"true_sequential": true,
|
| 1023 |
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"use_cuda_fp16": false,
|
| 1024 |
+
"use_exllama": true
|
| 1025 |
+
},
|
| 1026 |
+
"rms_norm_eps": 1e-06,
|
| 1027 |
+
"rope_parameters": {
|
| 1028 |
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"rope_theta": 1000000.0,
|
| 1029 |
+
"rope_type": "default"
|
| 1030 |
+
},
|
| 1031 |
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"sliding_window": null,
|
| 1032 |
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"tie_word_embeddings": false,
|
| 1033 |
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"transformers_version": "5.0.0",
|
| 1034 |
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"use_cache": true,
|
| 1035 |
+
"use_sliding_window": false,
|
| 1036 |
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"vocab_size": 152064
|
| 1037 |
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}
|
| 1038 |
+
|
| 1039 |
+
[INFO|2026-02-13 05:14:32] tokenization_utils_base.py:3327 >> chat template saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-60/chat_template.jinja
|
| 1040 |
+
[INFO|2026-02-13 05:14:32] tokenization_utils_base.py:2181 >> tokenizer config file saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/checkpoint-60/tokenizer_config.json
|
| 1041 |
+
[INFO|2026-02-13 05:14:58] trainer.py:2657 >>
|
| 1042 |
+
|
| 1043 |
+
Training completed. Do not forget to share your model on huggingface.co/models =)
|
| 1044 |
+
|
| 1045 |
+
|
| 1046 |
+
[INFO|2026-02-13 05:14:58] trainer.py:4115 >> Saving model checkpoint to saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72
|
| 1047 |
+
[INFO|2026-02-13 05:14:59] configuration_utils.py:667 >> loading configuration file config.json from cache at /workspace/.hf_home/hub/models--Qwen--Qwen2.5-72B-Instruct-GPTQ-Int4/snapshots/da6e9d45661b91e02782f4ae2c6bb39c4a5b4821/config.json
|
| 1048 |
+
[INFO|2026-02-13 05:14:59] configuration_utils.py:739 >> Model config Qwen2Config {
|
| 1049 |
+
"architectures": [
|
| 1050 |
+
"Qwen2ForCausalLM"
|
| 1051 |
+
],
|
| 1052 |
+
"attention_dropout": 0.0,
|
| 1053 |
+
"bos_token_id": 151643,
|
| 1054 |
+
"dtype": "float16",
|
| 1055 |
+
"eos_token_id": 151645,
|
| 1056 |
+
"hidden_act": "silu",
|
| 1057 |
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"hidden_size": 8192,
|
| 1058 |
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"initializer_range": 0.02,
|
| 1059 |
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"intermediate_size": 29696,
|
| 1060 |
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"layer_types": [
|
| 1061 |
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"full_attention",
|
| 1062 |
+
"full_attention",
|
| 1063 |
+
"full_attention",
|
| 1064 |
+
"full_attention",
|
| 1065 |
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"full_attention",
|
| 1066 |
+
"full_attention",
|
| 1067 |
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"full_attention",
|
| 1068 |
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"full_attention",
|
| 1069 |
+
"full_attention",
|
| 1070 |
+
"full_attention",
|
| 1071 |
+
"full_attention",
|
| 1072 |
+
"full_attention",
|
| 1073 |
+
"full_attention",
|
| 1074 |
+
"full_attention",
|
| 1075 |
+
"full_attention",
|
| 1076 |
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"full_attention",
|
| 1077 |
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"full_attention",
|
| 1078 |
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"full_attention",
|
| 1079 |
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"full_attention",
|
| 1080 |
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"full_attention",
|
| 1081 |
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"full_attention",
|
| 1082 |
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"full_attention",
|
| 1083 |
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"full_attention",
|
| 1084 |
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"full_attention",
|
| 1085 |
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"full_attention",
|
| 1086 |
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|
| 1087 |
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"full_attention",
|
| 1088 |
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"full_attention",
|
| 1089 |
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"full_attention",
|
| 1090 |
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"full_attention",
|
| 1091 |
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"full_attention",
|
| 1092 |
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"full_attention",
|
| 1093 |
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"full_attention",
|
| 1094 |
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"full_attention",
|
| 1095 |
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"full_attention",
|
| 1096 |
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"full_attention",
|
| 1097 |
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"full_attention",
|
| 1098 |
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"full_attention",
|
| 1099 |
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"full_attention",
|
| 1100 |
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"full_attention",
|
| 1101 |
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"full_attention",
|
| 1102 |
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
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| 1110 |
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| 1121 |
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"full_attention",
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| 1129 |
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"full_attention",
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| 1130 |
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"full_attention",
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"full_attention",
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| 1139 |
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"full_attention",
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| 1140 |
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"full_attention"
|
| 1141 |
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| 1142 |
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| 1143 |
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| 1148 |
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| 1149 |
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| 1150 |
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| 1151 |
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| 1152 |
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| 1153 |
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"cache_block_outputs": true,
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| 1154 |
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|
| 1155 |
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"dataset": null,
|
| 1156 |
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"desc_act": false,
|
| 1157 |
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"exllama_config": {
|
| 1158 |
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"version": 1
|
| 1159 |
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},
|
| 1160 |
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"group_size": 128,
|
| 1161 |
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| 1162 |
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|
| 1163 |
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|
| 1164 |
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|
| 1165 |
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|
| 1166 |
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"quant_method": "gptq",
|
| 1167 |
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"sym": true,
|
| 1168 |
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"tokenizer": null,
|
| 1169 |
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|
| 1185 |
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| 1186 |
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[INFO|2026-02-13 05:15:00] tokenization_utils_base.py:3327 >> chat template saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/chat_template.jinja
|
| 1187 |
+
[INFO|2026-02-13 05:15:00] tokenization_utils_base.py:2181 >> tokenizer config file saved in saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72/tokenizer_config.json
|
| 1188 |
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[WARNING|2026-02-13 05:15:00] logging.py:149 >> No metric eval_loss to plot.
|
| 1189 |
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[WARNING|2026-02-13 05:15:00] logging.py:149 >> No metric eval_accuracy to plot.
|
| 1190 |
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[INFO|2026-02-13 05:15:00] modelcard.py:266 >> Dropping the following result as it does not have all the necessary fields:
|
| 1191 |
+
{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
|
72/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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| 3 |
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size 11421892
|
72/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
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72/train_results.json
ADDED
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|
72/trainer_log.jsonl
ADDED
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ADDED
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"loss": 1.9407329559326172,
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| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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{
|
| 133 |
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"epoch": 15.0,
|
| 134 |
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"num_input_tokens_seen": 4085560,
|
| 135 |
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|
| 136 |
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"total_flos": 4.09147353759744e+16,
|
| 137 |
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| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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}
|
| 142 |
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],
|
| 143 |
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"logging_steps": 5,
|
| 144 |
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"max_steps": 80,
|
| 145 |
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"num_input_tokens_seen": 4085560,
|
| 146 |
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"num_train_epochs": 20,
|
| 147 |
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"save_steps": 20,
|
| 148 |
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"stateful_callbacks": {
|
| 149 |
+
"TrainerControl": {
|
| 150 |
+
"args": {
|
| 151 |
+
"should_epoch_stop": false,
|
| 152 |
+
"should_evaluate": false,
|
| 153 |
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"should_log": false,
|
| 154 |
+
"should_save": true,
|
| 155 |
+
"should_training_stop": false
|
| 156 |
+
},
|
| 157 |
+
"attributes": {}
|
| 158 |
+
}
|
| 159 |
+
},
|
| 160 |
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"total_flos": 4.09147353759744e+16,
|
| 161 |
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"train_batch_size": 1,
|
| 162 |
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"trial_name": null,
|
| 163 |
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"trial_params": null
|
| 164 |
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}
|
72/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b70be08810f61028ef84ab71566ed75f3e27e3ed7cd48a3b96c9124bd7cadbbb
|
| 3 |
+
size 5585
|
72/training_args.yaml
ADDED
|
@@ -0,0 +1,35 @@
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
bf16: true
|
| 2 |
+
cutoff_len: 4096
|
| 3 |
+
dataset: historical_sleep_story
|
| 4 |
+
dataset_dir: data
|
| 5 |
+
ddp_timeout: 180000000
|
| 6 |
+
do_train: true
|
| 7 |
+
enable_thinking: false
|
| 8 |
+
finetuning_type: lora
|
| 9 |
+
flash_attn: auto
|
| 10 |
+
gradient_accumulation_steps: 64
|
| 11 |
+
gradient_checkpointing: true
|
| 12 |
+
include_num_input_tokens_seen: true
|
| 13 |
+
learning_rate: 5.0e-05
|
| 14 |
+
logging_steps: 5
|
| 15 |
+
lora_alpha: 64
|
| 16 |
+
lora_dropout: 0.1
|
| 17 |
+
lora_rank: 32
|
| 18 |
+
lora_target: all
|
| 19 |
+
lr_scheduler_type: cosine
|
| 20 |
+
max_grad_norm: 1.0
|
| 21 |
+
max_samples: 100000
|
| 22 |
+
model_name_or_path: Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4
|
| 23 |
+
num_train_epochs: 20.0
|
| 24 |
+
optim: adamw_torch
|
| 25 |
+
output_dir: saves/Qwen2.5-72B-Instruct-GPTQ-Int4/lora/72
|
| 26 |
+
packing: false
|
| 27 |
+
per_device_train_batch_size: 1
|
| 28 |
+
plot_loss: true
|
| 29 |
+
preprocessing_num_workers: 16
|
| 30 |
+
report_to: none
|
| 31 |
+
save_steps: 20
|
| 32 |
+
stage: sft
|
| 33 |
+
template: qwen
|
| 34 |
+
trust_remote_code: true
|
| 35 |
+
warmup_steps: 0
|
72/training_loss.png
ADDED
|
Git LFS Details
|