ROBERTA_base_Task2_Fact_updates
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4477
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|
| 1.2436 | 1.0 | 5793 | 0.3691 |
| 0.0007 | 2.0 | 11586 | 0.4516 |
| 0.0002 | 3.0 | 17379 | 0.3844 |
| 0.0001 | 4.0 | 23172 | 0.3483 |
| 0.0001 | 5.0 | 28965 | 0.4477 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
FacebookAI/roberta-base