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Mistral-7B_task-2_60-samples_config-2_full

PEFT
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Safetensors
mistral
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
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  1. README.md +82 -0
  2. adapter_model.safetensors +1 -1
  3. all_results.json +9 -0
  4. train_results.json +9 -0
  5. trainer_state.json +377 -0
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+ ---
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+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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+ library_name: peft
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+ license: apache-2.0
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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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+ model-index:
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+ - name: Mistral-7B_task-2_60-samples_config-2_full
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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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+ # Mistral-7B_task-2_60-samples_config-2_full
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8568
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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: 0.0001
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 16
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+ - total_train_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: 50
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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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+ | 1.1698 | 0.6957 | 2 | 1.1609 |
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+ | 1.1595 | 1.7391 | 5 | 1.0642 |
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+ | 1.0152 | 2.7826 | 8 | 0.9874 |
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+ | 0.9495 | 3.8261 | 11 | 0.9347 |
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+ | 0.8878 | 4.8696 | 14 | 0.8748 |
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+ | 0.823 | 5.9130 | 17 | 0.8343 |
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+ | 0.7669 | 6.9565 | 20 | 0.8200 |
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+ | 0.7616 | 8.0 | 23 | 0.8117 |
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+ | 0.7438 | 8.6957 | 25 | 0.8073 |
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+ | 0.7119 | 9.7391 | 28 | 0.8034 |
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+ | 0.7076 | 10.7826 | 31 | 0.8033 |
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+ | 0.6789 | 11.8261 | 34 | 0.8046 |
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+ | 0.6409 | 12.8696 | 37 | 0.8047 |
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+ | 0.625 | 13.9130 | 40 | 0.8139 |
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+ | 0.581 | 14.9565 | 43 | 0.8231 |
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+ | 0.5582 | 16.0 | 46 | 0.8310 |
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+ | 0.5045 | 16.6957 | 48 | 0.8541 |
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+ | 0.507 | 17.7391 | 51 | 0.8568 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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