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Model: ik-ram28/BioMistral-CPT-SFT-7B Source: Original Platform
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README.md
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---
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library_name: transformers
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tags:
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- medical
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license: apache-2.0
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language:
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- fr
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- en
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base_model:
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- ik-ram28/BioMistral-CPT-7B
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- BioMistral/BioMistral-7B
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---
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## Model Description
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BioMistral-CPT-SFT-7B is a French medical language model based on BioMistral-7B, adapted for French medical domain applications through a combined approach of Continual Pre-Training (CPT) followed by Supervised Fine-Tuning (SFT).
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## Model Details
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- **Model Type**: Causal Language Model
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- **Base Model**: BioMistral-7B
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- **Language**: French (adapted from English medical model)
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- **Domain**: Medical/Healthcare
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- **Parameters**: 7 billion
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- **License**: Apache 2.0
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- **Paper**: [Adaptation des connaissances médicales pour les grands modèles de langue : Stratégies et analyse comparative](https://github.com/ikram28/medllm-strategies)
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## Training Details
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### Continual Pre-Training (CPT)
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- **Dataset**: NACHOS corpus (opeN crAwled frenCh Healthcare cOrpuS)
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- **Size**: 7.4 GB of French medical texts
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- **Word Count**: Over 1 billion words
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- **Sources**: 24 French medical websites
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- **Training Duration**: 2.8 epochs
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- **Hardware**: 32 NVIDIA H100 80GB GPUs
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- **Training Time**: 11 hours
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- **Optimizer**: AdamW
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- **Learning Rate**: 2e-5
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- **Weight Decay**: 0.01
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- **Batch Size**: 16 with gradient accumulation of 2
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### Supervised Fine-Tuning (SFT)
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- **Dataset**: 30K French medical question-answer pairs
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- 10K native French medical questions
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- 10K translated medical questions from English resources
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- 10K generated questions from French medical texts
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- **Method**: DoRA (Weight-Decomposed Low-Rank Adaptation)
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- **Training Duration**: 10 epochs
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- **Hardware**: 1 NVIDIA H100 80GB GPU
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- **Training Time**: 42 hours
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- **Rank**: 16
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- **Alpha**: 16
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- **Learning Rate**: 2e-5
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- **Batch Size**: 4
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## Computational Impact
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- **Total Training Time**: 53 hours (11h CPT + 42h SFT)
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- **Hardware**: 32 GPU H100 + 1 GPU H100
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- **Carbon Emissions**: 10.11 kgCO2e (9.04 + 1.07)
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## Ethical Considerations
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- **Medical Accuracy**: This model is for research and educational purposes only. Performance limitations make it unsuitable for critical medical applications
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- **Bias**: May contain biases from both English and French medical literature
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## Citation
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If you use this model, please cite:
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```bibtex
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```
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## Contact
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For questions about this model, please contact: ikram.belmadani@lis-lab.fr
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"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.norm.weight": "model-00006-of-00006.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
268053
tokenizer.json
Normal file
268053
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
44
tokenizer_config.json
Normal file
44
tokenizer_config.json
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": null,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user