rap_phase2_18march_5i_v1
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: 0.0207
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: 4
- eval_batch_size: 4
- 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 |
---|---|---|---|
0.1967 | 1.0 | 7515 | 0.1147 |
0.4737 | 2.0 | 15030 | 0.1238 |
0.049 | 3.0 | 22545 | 0.0580 |
0.0416 | 4.0 | 30060 | 0.0425 |
0.0549 | 5.0 | 37575 | 0.0310 |
0.0272 | 6.0 | 45090 | 0.0367 |
0.0123 | 7.0 | 52605 | 0.0231 |
0.011 | 8.0 | 60120 | 0.0223 |
0.0102 | 9.0 | 67635 | 0.0222 |
0.0016 | 10.0 | 75150 | 0.0254 |
0.0004 | 11.0 | 82665 | 0.0236 |
0.0017 | 12.0 | 90180 | 0.0207 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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