metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Capstone_RoBerta
results: []
Capstone_RoBerta
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4456
- Accuracy: 0.9218
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 | Accuracy |
|---|---|---|---|---|
| 0.2979 | 1.0 | 1250 | 0.2251 | 0.912 |
| 0.2007 | 2.0 | 2500 | 0.2298 | 0.9208 |
| 0.1439 | 3.0 | 3750 | 0.3752 | 0.9208 |
| 0.0937 | 4.0 | 5000 | 0.3986 | 0.9218 |
| 0.0594 | 5.0 | 6250 | 0.4456 | 0.9218 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3