metadata
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: 0.1755
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-06
- 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_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6937 | 1.0 | 130 | 0.6936 |
| 0.6782 | 2.0 | 260 | 0.6684 |
| 0.3968 | 3.0 | 390 | 0.3106 |
| 0.3238 | 4.0 | 520 | 0.2410 |
| 0.2817 | 5.0 | 650 | 0.1915 |
| 0.1955 | 6.0 | 780 | 0.2092 |
| 0.1536 | 7.0 | 910 | 0.1763 |
| 0.1352 | 8.0 | 1040 | 0.1755 |
| 0.1266 | 9.0 | 1170 | 0.1853 |
| 0.1115 | 10.0 | 1300 | 0.1805 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.19.1