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: 0.4497
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 |
|---|---|---|---|
| 0.7063 | 1.0 | 50 | 0.6989 |
| 0.693 | 2.0 | 100 | 0.6940 |
| 0.6909 | 3.0 | 150 | 0.6865 |
| 0.6769 | 4.0 | 200 | 0.6774 |
| 0.6639 | 5.0 | 250 | 0.6681 |
| 0.6703 | 6.0 | 300 | 0.6575 |
| 0.6898 | 7.0 | 350 | 0.6478 |
| 0.6433 | 8.0 | 400 | 0.6391 |
| 0.6289 | 9.0 | 450 | 0.6303 |
| 0.6271 | 10.0 | 500 | 0.6233 |
| 0.6044 | 11.0 | 550 | 0.6081 |
| 0.542 | 12.0 | 600 | 0.5786 |
| 0.58 | 13.0 | 650 | 0.5533 |
| 0.5063 | 14.0 | 700 | 0.5100 |
| 0.476 | 15.0 | 750 | 0.4943 |
| 0.382 | 16.0 | 800 | 0.4584 |
| 0.3776 | 17.0 | 850 | 0.4497 |
| 0.318 | 18.0 | 900 | 0.4572 |
| 0.261 | 19.0 | 950 | 0.4691 |
| 0.2593 | 20.0 | 1000 | 0.4965 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2