RPA-Synth1
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 206 | 0.0181 |
No log | 2.0 | 412 | 0.0011 |
0.9619 | 3.0 | 618 | 0.0001 |
0.9619 | 4.0 | 824 | 0.0000 |
0.003 | 5.0 | 1030 | 0.0000 |
0.003 | 6.0 | 1236 | 0.0000 |
0.003 | 7.0 | 1442 | 0.0000 |
0.001 | 8.0 | 1648 | 0.0000 |
0.001 | 9.0 | 1854 | 0.0000 |
0.0002 | 10.0 | 2060 | 0.0000 |
0.0002 | 11.0 | 2266 | 0.0000 |
0.0002 | 12.0 | 2472 | 0.0000 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1
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