QA_REDACTION_NOV1_19
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: 0.0174
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 |
---|---|---|---|
1.0179 | 1.0 | 945 | 0.0366 |
0.1597 | 2.0 | 1890 | 0.0217 |
0.0651 | 3.0 | 2835 | 0.0264 |
0.0815 | 4.0 | 3780 | 0.0241 |
0.0503 | 5.0 | 4725 | 0.0213 |
0.0215 | 6.0 | 5670 | 0.0160 |
0.0257 | 7.0 | 6615 | 0.0195 |
0.0268 | 8.0 | 7560 | 0.0194 |
0.0323 | 9.0 | 8505 | 0.0179 |
0.0215 | 10.0 | 9450 | 0.0174 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1
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