roberta-base-pp-100000-1e-06-32
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6704
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: 128
- 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 |
---|---|---|---|
0.6932 | 1.0 | 782 | 0.6917 |
0.6889 | 2.0 | 1564 | 0.6784 |
0.6821 | 3.0 | 2346 | 0.6758 |
0.6798 | 4.0 | 3128 | 0.6718 |
0.6775 | 5.0 | 3910 | 0.6712 |
0.6761 | 6.0 | 4692 | 0.6697 |
0.6715 | 7.0 | 5474 | 0.6696 |
0.6713 | 8.0 | 6256 | 0.6699 |
0.6687 | 9.0 | 7038 | 0.6704 |
0.6666 | 10.0 | 7820 | 0.6704 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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