metadata
tags:
- generated_from_trainer
model-index:
- name: roberta_regression_corrected
results: []
roberta_regression_corrected
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5899
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: 0.0005
- train_batch_size: 25
- eval_batch_size: 25
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 160 | 0.5899 |
| No log | 2.0 | 320 | 0.5899 |
| No log | 3.0 | 480 | 0.5899 |
| 0.5781 | 4.0 | 640 | 0.5899 |
| 0.5781 | 5.0 | 800 | 0.5899 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0