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roberta-base-finetuned-removed-0530
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7910
- Accuracy: 0.9082
- F1: 0.9084
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 3180 | 0.6250 | 0.8277 | 0.8250 |
| No log | 2.0 | 6360 | 0.4578 | 0.8689 | 0.8684 |
| No log | 3.0 | 9540 | 0.4834 | 0.8792 | 0.8797 |
| No log | 4.0 | 12720 | 0.6377 | 0.8899 | 0.8902 |
| No log | 5.0 | 15900 | 0.6498 | 0.8921 | 0.8921 |
| No log | 6.0 | 19080 | 0.6628 | 0.8931 | 0.8928 |
| No log | 7.0 | 22260 | 0.7380 | 0.8925 | 0.8918 |
| 0.2877 | 8.0 | 25440 | 0.7313 | 0.8975 | 0.8974 |
| 0.2877 | 9.0 | 28620 | 0.7593 | 0.9025 | 0.9026 |
| 0.2877 | 10.0 | 31800 | 0.7910 | 0.9082 | 0.9084 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.9.0
- Datasets 1.16.1
- Tokenizers 0.12.1
