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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-Instruct-v0.2 |
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datasets: |
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- generator |
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- ninyx/data_advise-gpt-extended |
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model-index: |
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- name: mistral-7b-instruct-v0.2-advisegpt-v0.1 |
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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-v0.2-advisegpt-v0.1 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5297 |
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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: 2e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 15 |
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- total_train_batch_size: 90 |
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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: 5 |
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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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| 0.2215 | 0.9819 | 47 | 0.6548 | |
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| 0.1586 | 1.9847 | 95 | 0.5741 | |
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| 0.1421 | 2.9875 | 143 | 0.5422 | |
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| 0.1334 | 3.9903 | 191 | 0.5308 | |
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| 0.1298 | 4.9095 | 235 | 0.5297 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
