roberta-large-ppaobj-10000-1e-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: 0.6918
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 |
---|---|---|---|
0.6974 | 1.0 | 313 | 0.6918 |
0.6936 | 2.0 | 626 | 0.6903 |
0.6938 | 3.0 | 939 | 0.6890 |
0.6925 | 4.0 | 1252 | 0.6869 |
0.6849 | 5.0 | 1565 | 0.6880 |
0.6811 | 6.0 | 1878 | 0.6910 |
0.6753 | 7.0 | 2191 | 0.6918 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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