rap_phase2_25march_5i
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: 0.0191
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2245 | 1.0 | 6084 | 0.0987 |
| 0.0738 | 2.0 | 12168 | 0.0736 |
| 0.0565 | 3.0 | 18252 | 0.0489 |
| 0.0362 | 4.0 | 24336 | 0.0465 |
| 0.0225 | 5.0 | 30420 | 0.0284 |
| 0.0189 | 6.0 | 36504 | 0.0350 |
| 0.0174 | 7.0 | 42588 | 0.0210 |
| 0.004 | 8.0 | 48672 | 0.0182 |
| 0.0048 | 9.0 | 54756 | 0.0177 |
| 0.0006 | 10.0 | 60840 | 0.0191 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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