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README.md ADDED
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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-1e-6-wo-medication_qa-iter-sft-step1_lr
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+ results: []
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+ ---
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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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+
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+ # biomistral-7b-1e-6-wo-medication_qa-iter-sft-step1_lr
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+
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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: 2.1895
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6814 | 0.92 | 6 | 2.2282 |
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+ | 1.6177 | 2.0 | 13 | 2.1941 |
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+ | 1.4862 | 2.77 | 18 | 2.1895 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.1.2
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
all_results.json ADDED
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+ {
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+ "epoch": 2.77,
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+ "train_loss": 1.5841291414366827,
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+ "train_samples": 4285,
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+ "train_samples_per_second": 3.793,
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+ "train_steps_per_second": 0.056
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+ }
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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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+ "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": "4.39.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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+ "transformers_version": "4.39.0.dev0"
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+ }
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