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--- |
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library_name: peft |
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license: other |
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base_model: mistralai/Ministral-8B-Instruct-2410 |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: Ministral-8B-Instruct-2410-PsyCourse-doc-fold4 |
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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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# Ministral-8B-Instruct-2410-PsyCourse-doc-fold4 |
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This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on the course-doc-train-fold4 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0724 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1224 | 0.3951 | 10 | 0.1391 | |
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| 0.1347 | 0.7901 | 20 | 0.0900 | |
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| 0.0905 | 1.1852 | 30 | 0.0794 | |
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| 0.0727 | 1.5802 | 40 | 0.0761 | |
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| 0.0255 | 1.9753 | 50 | 0.0738 | |
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| 0.0285 | 2.3704 | 60 | 0.0726 | |
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| 0.04 | 2.7654 | 70 | 0.0727 | |
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| 0.0868 | 3.1605 | 80 | 0.0724 | |
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| 0.0345 | 3.5556 | 90 | 0.0734 | |
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| 0.0422 | 3.9506 | 100 | 0.0738 | |
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| 0.0526 | 4.3457 | 110 | 0.0739 | |
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| 0.0395 | 4.7407 | 120 | 0.0741 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.46.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
