distilroberta-base-etc
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3382
- Accuracy: 0.919
- F1: 0.9190
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: 4.969790133269121e-05
- train_batch_size: 400
- eval_batch_size: 400
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.0 | 84 | 0.2372 | 0.907 | 0.9070 |
No log | 2.0 | 168 | 0.2358 | 0.9083 | 0.9083 |
No log | 3.0 | 252 | 0.2430 | 0.9137 | 0.9137 |
No log | 4.0 | 336 | 0.2449 | 0.919 | 0.9190 |
No log | 5.0 | 420 | 0.2884 | 0.9193 | 0.9193 |
No log | 6.0 | 504 | 0.3179 | 0.9167 | 0.9167 |
No log | 7.0 | 588 | 0.3382 | 0.919 | 0.9190 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
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