rap_phase2_18march_5i_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: 0.0155
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: 8
- eval_batch_size: 8
- 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 |
---|---|---|---|
0.1332 | 1.0 | 3758 | 0.0826 |
0.064 | 2.0 | 7516 | 0.0426 |
0.0356 | 3.0 | 11274 | 0.0403 |
0.0273 | 4.0 | 15032 | 0.0314 |
0.0204 | 5.0 | 18790 | 0.0278 |
0.0107 | 6.0 | 22548 | 0.0226 |
0.0072 | 7.0 | 26306 | 0.0198 |
0.0085 | 8.0 | 30064 | 0.0147 |
0.0008 | 9.0 | 33822 | 0.0148 |
0.0015 | 10.0 | 37580 | 0.0155 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Downloads last month
- 8