metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: model02
results: []
model02
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1771
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 |
|---|---|---|---|
| 0.6058 | 1.0 | 10 | 0.5832 |
| 0.5779 | 2.0 | 20 | 0.5524 |
| 0.528 | 3.0 | 30 | 0.4954 |
| 0.4415 | 4.0 | 40 | 0.3786 |
| 0.2891 | 5.0 | 50 | 0.1771 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.2.0.dev20230907+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2