metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base_correlation
results: []
roberta-base_correlation
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4590
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: 1e-05
- train_batch_size: 32
- 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: 5000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.703 | 1.0 | 50 | 0.6969 |
| 0.6992 | 2.0 | 100 | 0.6934 |
| 0.686 | 3.0 | 150 | 0.6882 |
| 0.6814 | 4.0 | 200 | 0.6816 |
| 0.6674 | 5.0 | 250 | 0.6749 |
| 0.6629 | 6.0 | 300 | 0.6678 |
| 0.638 | 7.0 | 350 | 0.6620 |
| 0.6479 | 8.0 | 400 | 0.6574 |
| 0.6557 | 9.0 | 450 | 0.6546 |
| 0.6314 | 10.0 | 500 | 0.6519 |
| 0.6056 | 11.0 | 550 | 0.6459 |
| 0.639 | 12.0 | 600 | 0.6343 |
| 0.5821 | 13.0 | 650 | 0.6090 |
| 0.5486 | 14.0 | 700 | 0.5665 |
| 0.4903 | 15.0 | 750 | 0.5319 |
| 0.4866 | 16.0 | 800 | 0.5067 |
| 0.4129 | 17.0 | 850 | 0.4793 |
| 0.3741 | 18.0 | 900 | 0.4590 |
| 0.29 | 19.0 | 950 | 0.4707 |
| 0.2396 | 20.0 | 1000 | 0.5192 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2