metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-ppaverb-500000-1e-06-128
results: []
roberta-base-ppaverb-500000-1e-06-128
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6631
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-06
- train_batch_size: 512
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6859 | 1.0 | 977 | 0.6755 |
| 0.6792 | 2.0 | 1954 | 0.6704 |
| 0.6756 | 3.0 | 2931 | 0.6678 |
| 0.6741 | 4.0 | 3908 | 0.6658 |
| 0.6733 | 5.0 | 4885 | 0.6660 |
| 0.6721 | 6.0 | 5862 | 0.6645 |
| 0.6716 | 7.0 | 6839 | 0.6637 |
| 0.6707 | 8.0 | 7816 | 0.6635 |
| 0.6688 | 9.0 | 8793 | 0.6640 |
| 0.668 | 10.0 | 9770 | 0.6637 |
| 0.6669 | 11.0 | 10747 | 0.6630 |
| 0.6665 | 12.0 | 11724 | 0.6631 |
| 0.6654 | 13.0 | 12701 | 0.6628 |
| 0.6657 | 14.0 | 13678 | 0.6628 |
| 0.6643 | 15.0 | 14655 | 0.6633 |
| 0.6628 | 16.0 | 15632 | 0.6634 |
| 0.6637 | 17.0 | 16609 | 0.6631 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1