rap_phase2_18dec_10i_v2
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: 0.0128
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2512 | 1.0 | 5158 | 0.2356 |
0.1635 | 2.0 | 10316 | 0.1122 |
0.0427 | 3.0 | 15474 | 0.0822 |
0.0312 | 4.0 | 20632 | 0.0407 |
0.024 | 5.0 | 25790 | 0.0198 |
0.0275 | 6.0 | 30948 | 0.0214 |
0.0105 | 7.0 | 36106 | 0.0247 |
0.0042 | 8.0 | 41264 | 0.0172 |
0.0058 | 9.0 | 46422 | 0.0125 |
0.0004 | 10.0 | 51580 | 0.0128 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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