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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-v0.1 |
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model-index: |
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- name: Project5_V3_Mistral7b_V2.1 |
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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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# Project5_V3_Mistral7b_V2.1 |
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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: 2.3036 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 128 |
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- total_train_batch_size: 256 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.8 | 1 | 2.3482 | |
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| No log | 1.6 | 2 | 2.3439 | |
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| No log | 2.4 | 3 | 2.3386 | |
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| 2.3422 | 4.0 | 5 | 2.3264 | |
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| 2.3422 | 4.8 | 6 | 2.3212 | |
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| 2.3422 | 5.6 | 7 | 2.3166 | |
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| 2.3422 | 6.4 | 8 | 2.3126 | |
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| 2.3191 | 8.0 | 10 | 2.3072 | |
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| 2.3191 | 8.8 | 11 | 2.3055 | |
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| 2.3191 | 9.6 | 12 | 2.3045 | |
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| 2.3191 | 10.4 | 13 | 2.3039 | |
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| 2.3082 | 12.0 | 15 | 2.3036 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
