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Mistral-7B_task-3_60-samples_config-1_full

PEFT
TensorBoard
Safetensors
mistral
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
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  1. README.md +77 -0
  2. adapter_model.safetensors +1 -1
  3. all_results.json +9 -0
  4. train_results.json +9 -0
  5. trainer_state.json +421 -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-3_60-samples_config-1_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-3_60-samples_config-1_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: 1.1056
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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: 8
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+ - total_train_batch_size: 8
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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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+ | 1.2252 | 0.8696 | 5 | 1.1981 |
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+ | 1.1411 | 1.9130 | 11 | 1.0844 |
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+ | 1.0554 | 2.9565 | 17 | 0.9996 |
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+ | 0.8972 | 4.0 | 23 | 0.9074 |
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+ | 0.8159 | 4.8696 | 28 | 0.8847 |
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+ | 0.7851 | 5.9130 | 34 | 0.8734 |
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+ | 0.7179 | 6.9565 | 40 | 0.8734 |
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+ | 0.6768 | 8.0 | 46 | 0.8809 |
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+ | 0.6127 | 8.8696 | 51 | 0.8960 |
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+ | 0.5592 | 9.9130 | 57 | 0.9449 |
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+ | 0.4519 | 10.9565 | 63 | 0.9643 |
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+ | 0.367 | 12.0 | 69 | 0.9817 |
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+ | 0.3385 | 12.8696 | 74 | 1.1056 |
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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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