Model save
Browse files- README.md +69 -0
- all_results.json +8 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +82 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: BioMistral/BioMistral-7B
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: biomistral-7b-wo-medication_qa-iter-sft-step1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# biomistral-7b-wo-medication_qa-iter-sft-step1
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This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4066
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6842 | 0.92 | 6 | 2.2983 |
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| 1.312 | 2.0 | 13 | 2.3585 |
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| 0.8758 | 2.77 | 18 | 2.4066 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 2.77,
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"train_loss": 1.1936739020877414,
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"train_runtime": 399.8921,
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"train_samples": 4285,
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"train_samples_per_second": 3.031,
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"train_steps_per_second": 0.045
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}
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config.json
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{
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"_name_or_path": "BioMistral/BioMistral-7B",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.38.2"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model.safetensors.index.json
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