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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ |
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model-index: |
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- name: Mistral-Alpaca-Finetuned |
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results: [] |
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datasets: |
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- tatsu-lab/alpaca |
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pipeline_tag: question-answering |
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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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# Mistral-Alpaca-Finetuned |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co./TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the tatsu-lab/alpaca dataset. |
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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: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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global_step training_loss train_runtime train_samples_per_second train_steps_per_second total_flos train_loss epoch |
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|:--------:|:-----------:|:-----------:|:----------------------:|:--------------------:|:------------:|:---------:|:---:| |
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| 1250 | 1.26014 | 4003.3845 | 2.498 | 0.312 | 1.597509e+15 | 1.26014 | 1.0 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
