roberta-base-finetuned-news
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1121
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5634 | 1.0 | 5480 | 1.3923 |
| 1.3602 | 2.0 | 10960 | 1.2454 |
| 1.2681 | 3.0 | 16440 | 1.1723 |
| 1.2302 | 4.0 | 21920 | 1.1427 |
| 1.2089 | 5.0 | 27400 | 1.1225 |
| 1.1896 | 6.0 | 32880 | 1.1115 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3