roberta-base-finetuned-wls-whisper-10ep
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0577
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 |
|---|---|---|---|
| 1.4761 | 1.0 | 26 | 1.2585 |
| 1.2426 | 2.0 | 52 | 1.2056 |
| 1.1709 | 3.0 | 78 | 1.1457 |
| 1.1218 | 4.0 | 104 | 1.1192 |
| 1.0557 | 5.0 | 130 | 1.1319 |
| 1.0793 | 6.0 | 156 | 1.0505 |
| 0.9939 | 7.0 | 182 | 1.1201 |
| 1.0047 | 8.0 | 208 | 1.0273 |
| 0.9787 | 9.0 | 234 | 1.0335 |
| 0.9693 | 10.0 | 260 | 1.0432 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
FacebookAI/roberta-base