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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ossp-v0_2 |
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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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# ossp-v0_2 |
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This model is a fine-tuned version of [leadawon/ossp-v0_2](https://huggingface.co/leadawon/ossp-v0_2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3871 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 1.0152 | 0.13 | 10000 | 0.8570 | |
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| 0.6616 | 0.26 | 20000 | 0.6056 | |
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| 0.5819 | 0.39 | 30000 | 0.5253 | |
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| 0.518 | 0.52 | 40000 | 0.4710 | |
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| 0.465 | 0.66 | 50000 | 0.4404 | |
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| 0.4252 | 0.79 | 60000 | 0.4097 | |
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| 0.4139 | 0.92 | 70000 | 0.3871 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0+cu118 |
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- Tokenizers 0.13.3 |
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