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update model card README.md
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README.md
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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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metrics:
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- f1
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model-index:
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- name: tests
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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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# tests
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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: 2.1404
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- F1: 0.6865
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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: 3e-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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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 65 | 1.4753 | 0.4919 |
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| No log | 2.0 | 130 | 1.1757 | 0.5946 |
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| No log | 3.0 | 195 | 1.0661 | 0.6486 |
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| No log | 4.0 | 260 | 1.0779 | 0.6486 |
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| No log | 5.0 | 325 | 1.1413 | 0.6649 |
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| No log | 6.0 | 390 | 1.3360 | 0.6649 |
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| No log | 7.0 | 455 | 1.5889 | 0.6676 |
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| 0.6549 | 8.0 | 520 | 1.5863 | 0.6973 |
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| 0.6549 | 9.0 | 585 | 1.7897 | 0.6757 |
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| 0.6549 | 10.0 | 650 | 1.9574 | 0.6595 |
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| 0.6549 | 11.0 | 715 | 2.0899 | 0.6595 |
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| 0.6549 | 12.0 | 780 | 1.9543 | 0.6811 |
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| 0.6549 | 13.0 | 845 | 2.0767 | 0.6892 |
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| 0.6549 | 14.0 | 910 | 2.1330 | 0.6838 |
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| 0.6549 | 15.0 | 975 | 2.1000 | 0.6865 |
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| 0.0176 | 16.0 | 1040 | 2.1070 | 0.6865 |
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| 0.0176 | 17.0 | 1105 | 2.1237 | 0.6838 |
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| 0.0176 | 18.0 | 1170 | 2.1358 | 0.6811 |
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| 0.0176 | 19.0 | 1235 | 2.1386 | 0.6838 |
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| 0.0176 | 20.0 | 1300 | 2.1404 | 0.6865 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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