rap_phase2_MODEL2_14march_10i_v3
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: 0.0002
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: 3
- eval_batch_size: 3
- 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 |
---|---|---|---|
0.8858 | 1.0 | 1270 | 0.5464 |
0.0915 | 2.0 | 2540 | 0.0810 |
0.0453 | 3.0 | 3810 | 0.0377 |
0.0133 | 4.0 | 5080 | 0.0100 |
0.0248 | 5.0 | 6350 | 0.0385 |
0.0973 | 6.0 | 7620 | 0.0009 |
0.0248 | 7.0 | 8890 | 0.0037 |
0.0102 | 8.0 | 10160 | 0.0014 |
0.0021 | 9.0 | 11430 | 0.0002 |
0.0028 | 10.0 | 12700 | 0.0002 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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