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--- |
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library_name: peft |
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base_model: mistral-community/pixtral-12b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: fine-tuned-model |
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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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# fine-tuned-model |
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This model is a fine-tuned version of [mistral-community/pixtral-12b](https://huggingface.co/mistral-community/pixtral-12b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.4113 |
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- eval_runtime: 29.753 |
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- eval_samples_per_second: 3.832 |
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- eval_steps_per_second: 0.504 |
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- epoch: 0.3605 |
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- step: 5130 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: constant |
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- num_epochs: 1 |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.3 |
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- Pytorch 2.4.1 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.4 |
