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--- |
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license: mit |
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base_model: microsoft/phi-2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: V0410MP7 |
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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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# V0410MP7 |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1585 |
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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: 0.003 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 2 |
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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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| 2.3557 | 0.18 | 20 | 0.7940 | |
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| 0.2324 | 0.36 | 40 | 0.1738 | |
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| 0.1758 | 0.54 | 60 | 0.1631 | |
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| 0.1702 | 0.73 | 80 | 0.1592 | |
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| 0.1652 | 0.91 | 100 | 0.1590 | |
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| 0.1661 | 1.09 | 120 | 0.1593 | |
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| 0.1642 | 1.27 | 140 | 0.1589 | |
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| 0.1655 | 1.45 | 160 | 0.1587 | |
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| 0.1647 | 1.63 | 180 | 0.1585 | |
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| 0.1646 | 1.81 | 200 | 0.1585 | |
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| 0.1664 | 1.99 | 220 | 0.1585 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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