RobertaLr6.906e-08Wd0.0207E3
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2087
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: 6.906e-08
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.8263 | 1.0 | 1124 | 4.1286 |
3.8523 | 2.0 | 2248 | 3.3852 |
2.8867 | 3.0 | 3372 | 3.2087 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.5.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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