metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: GhPoliticsBERT
results: []
GhPoliticsBERT
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.0 | 1.0 | 9188 | 0.0000 |
| 0.0 | 2.0 | 18376 | 0.0000 |
| 0.0 | 3.0 | 27564 | 0.0000 |
| 0.0 | 4.0 | 36752 | 0.0000 |
| 0.0 | 5.0 | 45940 | 0.0000 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1