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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: XPFaculty-ft |
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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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# XPFaculty-ft |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2424 |
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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: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 12 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 10 |
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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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| 2.4997 | 1.0 | 25 | 2.1442 | |
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| 1.982 | 2.0 | 50 | 1.7214 | |
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| 1.5052 | 3.0 | 75 | 1.3375 | |
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| 1.2921 | 4.0 | 100 | 1.2731 | |
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| 1.2246 | 5.0 | 125 | 1.2574 | |
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| 1.18 | 6.0 | 150 | 1.2512 | |
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| 1.1403 | 7.0 | 175 | 1.2428 | |
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| 1.1051 | 8.0 | 200 | 1.2458 | |
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| 1.0811 | 9.0 | 225 | 1.2420 | |
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| 1.0686 | 10.0 | 250 | 1.2424 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
