RoBERTa-MGT-Test
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3244
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2615 | 1.0 | 7200 | 0.6766 |
| 0.1749 | 2.0 | 14400 | 0.3244 |
| 0.193 | 3.0 | 21600 | 0.7100 |
| 0.2011 | 4.0 | 28800 | 0.7925 |
| 0.3941 | 5.0 | 36000 | 0.5756 |
| 0.9186 | 6.0 | 43200 | 0.6578 |
| 0.1284 | 7.0 | 50400 | 0.5366 |
| 0.0936 | 8.0 | 57600 | 0.4243 |
| 0.0937 | 9.0 | 64800 | 0.6618 |
| 0.055 | 10.0 | 72000 | 0.6119 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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