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--- |
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license: apache-2.0 |
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base_model: Open-Orca/Mistral-7B-OpenOrca |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mistral-voyager-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-voyager-finetune |
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This model is a fine-tuned version of [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1123 |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 1 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2728 | 0.48 | 100 | 0.1881 | |
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| 0.1854 | 0.95 | 200 | 0.1352 | |
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| 0.09 | 1.43 | 300 | 0.1251 | |
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| 0.0902 | 1.9 | 400 | 0.1121 | |
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| 0.062 | 2.38 | 500 | 0.1123 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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