roberta-base_clas
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8612
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9512 | 1.0 | 53 | 1.9276 |
| 1.7755 | 2.0 | 106 | 1.6696 |
| 1.3258 | 3.0 | 159 | 1.1617 |
| 0.8255 | 4.0 | 212 | 0.9614 |
| 0.5584 | 5.0 | 265 | 0.8612 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for theunmans/roberta-base_clas
Base model
distilbert/distilbert-base-uncased