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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: transformer-NLP |
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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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# transformer-NLP |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.4503 |
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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: 32 |
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- eval_batch_size: 64 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 9.8223 | 1.0 | 21 | 9.4635 | |
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| 9.4003 | 2.0 | 42 | 9.2399 | |
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| 9.1754 | 3.0 | 63 | 9.0618 | |
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| 8.9665 | 4.0 | 84 | 8.8478 | |
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| 8.8297 | 5.0 | 105 | 8.7369 | |
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| 8.6993 | 6.0 | 126 | 8.6474 | |
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| 8.6372 | 7.0 | 147 | 8.5848 | |
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| 8.5375 | 8.0 | 168 | 8.4988 | |
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| 8.5175 | 9.0 | 189 | 8.4400 | |
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| 8.4955 | 10.0 | 210 | 8.4503 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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