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roberta_large-chunking_0812_v0
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3382
- Precision: 0.8195
- Recall: 0.8350
- F1: 0.8272
- Accuracy: 0.9106
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1816 | 1.0 | 1249 | 0.3544 | 0.7910 | 0.8154 | 0.8030 | 0.9055 |
| 0.0719 | 2.0 | 2498 | 0.4084 | 0.8207 | 0.8316 | 0.8261 | 0.9141 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
