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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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datasets: |
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- generator |
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base_model: mistralai/Mistral-7B-Instruct-v0.1 |
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model-index: |
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- name: Mistral-7B-Instruct-v0_1-Txt-2-Presto-SQL |
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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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# Mistral-7B-Instruct-v0_1-Txt-2-Presto-SQL |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6454 |
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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: 0.0001 |
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- train_batch_size: 4 |
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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: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 80 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3516 | 0.71 | 10 | 1.0778 | |
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| 1.0131 | 1.43 | 20 | 0.8707 | |
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| 0.8446 | 2.14 | 30 | 0.7695 | |
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| 0.7563 | 2.86 | 40 | 0.7202 | |
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| 0.7009 | 3.57 | 50 | 0.6803 | |
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| 0.6368 | 4.29 | 60 | 0.6585 | |
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| 0.6201 | 5.0 | 70 | 0.6473 | |
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| 0.5755 | 5.71 | 80 | 0.6454 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
