rap_phase2_22march_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: 0.0157
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.113 | 1.0 | 5070 | 0.1014 |
| 0.0891 | 2.0 | 10140 | 0.0625 |
| 0.0373 | 3.0 | 15210 | 0.0378 |
| 0.1472 | 4.0 | 20280 | 0.1660 |
| 0.0234 | 5.0 | 25350 | 0.0367 |
| 0.0148 | 6.0 | 30420 | 0.0191 |
| 0.0196 | 7.0 | 35490 | 0.0176 |
| 0.0039 | 8.0 | 40560 | 0.0210 |
| 0.0023 | 9.0 | 45630 | 0.0184 |
| 0.0001 | 10.0 | 50700 | 0.0150 |
| 0.0004 | 11.0 | 55770 | 0.0157 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
FacebookAI/xlm-roberta-base