roberta-large-ppaobj-5000-1e-06-8
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6974
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-06
- train_batch_size: 32
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 157 | 0.6913 |
0.701 | 2.0 | 314 | 0.6905 |
0.6984 | 3.0 | 471 | 0.6903 |
0.6963 | 4.0 | 628 | 0.6908 |
0.6963 | 5.0 | 785 | 0.6891 |
0.6925 | 6.0 | 942 | 0.6880 |
0.6885 | 7.0 | 1099 | 0.6910 |
0.6852 | 8.0 | 1256 | 0.6873 |
0.6829 | 9.0 | 1413 | 0.6903 |
0.6829 | 10.0 | 1570 | 0.6917 |
0.6739 | 11.0 | 1727 | 0.6974 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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