roberta-imdb
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7386
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.9994 | 1.0 | 1530 | 0.8899 |
0.8583 | 2.0 | 3060 | 0.7725 |
0.798 | 3.0 | 4590 | 0.7311 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0.post200
- Datasets 2.18.0
- Tokenizers 0.13.3
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