hw-intent-atis
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 13.3164
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0266 | 1.6 | 500 | 11.9988 |
| 0.0444 | 3.21 | 1000 | 11.4742 |
| 0.0314 | 4.81 | 1500 | 12.1216 |
| 0.0163 | 6.41 | 2000 | 12.8759 |
| 0.0104 | 8.01 | 2500 | 13.1008 |
| 0.0052 | 9.62 | 3000 | 13.2233 |
| 0.0046 | 11.22 | 3500 | 13.2846 |
| 0.0022 | 12.82 | 4000 | 13.3164 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
FacebookAI/roberta-base