metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Goodreads_Books_Reviews_Roberta_50
results: []
Goodreads_Books_Reviews_Roberta_50
This model is a fine-tuned version of roberta-base on the Goodreads Books Reviews dataset. It achieves the following results on the evaluation set:
- Loss: 0.9495
- F1: 0.6527
- Accuracy: 0.6523
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.9353 | 1.0 | 5055 | 0.9340 | 0.6180 | 0.6223 |
| 0.852 | 2.0 | 10110 | 0.9152 | 0.6328 | 0.6378 |
| 0.7486 | 3.0 | 15165 | 0.9268 | 0.6515 | 0.6510 |
| 0.6904 | 4.0 | 20220 | 0.9495 | 0.6527 | 0.6523 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1