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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MTL-roberta-base |
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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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# MTL-roberta-base |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4859 |
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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: 7 |
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- eval_batch_size: 7 |
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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: 15 |
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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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| 1.8338 | 1.0 | 98 | 1.6750 | |
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| 1.7732 | 2.0 | 196 | 1.6229 | |
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| 1.7208 | 3.0 | 294 | 1.6131 | |
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| 1.6917 | 4.0 | 392 | 1.5936 | |
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| 1.6579 | 5.0 | 490 | 1.6183 | |
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| 1.6246 | 6.0 | 588 | 1.6015 | |
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| 1.6215 | 7.0 | 686 | 1.5248 | |
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| 1.5743 | 8.0 | 784 | 1.5454 | |
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| 1.5621 | 9.0 | 882 | 1.5925 | |
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| 1.5652 | 10.0 | 980 | 1.5213 | |
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| 1.5615 | 11.0 | 1078 | 1.4845 | |
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| 1.5349 | 12.0 | 1176 | 1.5443 | |
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| 1.5165 | 13.0 | 1274 | 1.5304 | |
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| 1.5164 | 14.0 | 1372 | 1.4773 | |
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| 1.5293 | 15.0 | 1470 | 1.5537 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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