metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1111
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 0.7008 |
| 0.7073 | 2.0 | 10 | 0.6986 |
| 0.7073 | 3.0 | 15 | 0.6963 |
| 0.6997 | 4.0 | 20 | 0.6932 |
| 0.6997 | 5.0 | 25 | 0.6905 |
| 0.6908 | 6.0 | 30 | 0.6883 |
| 0.6908 | 7.0 | 35 | 0.6850 |
| 0.6913 | 8.0 | 40 | 0.6774 |
| 0.6913 | 9.0 | 45 | 0.6455 |
| 0.6248 | 10.0 | 50 | 0.4880 |
| 0.6248 | 11.0 | 55 | 0.3243 |
| 0.3917 | 12.0 | 60 | 0.3306 |
| 0.3917 | 13.0 | 65 | 0.1483 |
| 0.1417 | 14.0 | 70 | 0.1215 |
| 0.1417 | 15.0 | 75 | 0.1111 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0