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--- |
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base_model: mistralai/Mistral-7B-v0.1 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mistral-Automotive_Engine_parameter_FineTune |
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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-Automotive_Engine_parameter_FineTune |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3795 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 100 |
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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 | 0.0051 | 10 | 2.6289 | |
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| No log | 0.0102 | 20 | 1.9624 | |
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| No log | 0.0154 | 30 | 1.7700 | |
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| No log | 0.0205 | 40 | 1.5865 | |
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| 2.1702 | 0.0256 | 50 | 1.4648 | |
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| 2.1702 | 0.0307 | 60 | 1.4255 | |
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| 2.1702 | 0.0358 | 70 | 1.4026 | |
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| 2.1702 | 0.0410 | 80 | 1.3900 | |
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| 2.1702 | 0.0461 | 90 | 1.3794 | |
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| 1.409 | 0.0512 | 100 | 1.3795 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
