discuss_1021_new
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9463
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.9798 | 1.0 | 208 | 1.0463 |
| 1.0665 | 2.0 | 416 | 1.0438 |
| 0.9761 | 3.0 | 624 | 1.1693 |
| 0.9479 | 4.0 | 832 | 0.9463 |
| 0.763 | 5.0 | 1040 | 0.9912 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
FacebookAI/roberta-base