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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: mistralai/Mistral-7B-v0.1 |
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datasets: |
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- generator |
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model-index: |
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- name: mistral7bit-lora-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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# mistral7bit-lora-sql |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3640 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1399 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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_steps: 100 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7533 | 0.06 | 20 | 0.5169 | |
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| 0.4806 | 0.11 | 40 | 0.4338 | |
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| 0.4285 | 0.17 | 60 | 0.4055 | |
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| 0.403 | 0.23 | 80 | 0.3944 | |
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| 0.3969 | 0.28 | 100 | 0.3869 | |
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| 0.3898 | 0.34 | 120 | 0.3813 | |
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| 0.3836 | 0.4 | 140 | 0.3766 | |
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| 0.3786 | 0.45 | 160 | 0.3726 | |
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| 0.3708 | 0.51 | 180 | 0.3675 | |
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| 0.3681 | 0.56 | 200 | 0.3643 | |
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| 0.3622 | 0.62 | 220 | 0.3631 | |
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| 0.3626 | 0.68 | 240 | 0.3640 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
