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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: roberta-base-coffee20230108 |
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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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# roberta-base-coffee20230108 |
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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: 4.4032 |
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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: 8 |
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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: 500 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 89 | 4.5615 | |
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| 5.5192 | 2.0 | 178 | 2.8434 | |
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| 3.2266 | 3.0 | 267 | 2.2547 | |
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| 2.1833 | 4.0 | 356 | 2.3272 | |
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| 1.5483 | 5.0 | 445 | 2.3703 | |
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| 1.148 | 6.0 | 534 | 2.4088 | |
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| 1.0413 | 7.0 | 623 | 2.6734 | |
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| 0.6844 | 8.0 | 712 | 2.7058 | |
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| 0.5396 | 9.0 | 801 | 2.9746 | |
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| 0.5396 | 10.0 | 890 | 3.6085 | |
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| 0.3883 | 11.0 | 979 | 3.4980 | |
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| 0.2854 | 12.0 | 1068 | 4.0556 | |
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| 0.2021 | 13.0 | 1157 | 4.1024 | |
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| 0.1797 | 14.0 | 1246 | 4.2926 | |
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| 0.1425 | 15.0 | 1335 | 4.4032 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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