MovieRoBertaReview-SentimentPrediction-Model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3236
- Accuracy: 0.8736
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
---|---|---|---|---|
0.5048 | 1.0 | 625 | 0.3992 | 0.839 |
0.4041 | 2.0 | 1250 | 0.4210 | 0.8484 |
0.3827 | 3.0 | 1875 | 0.3605 | 0.866 |
0.2926 | 4.0 | 2500 | 0.3443 | 0.8732 |
0.2552 | 5.0 | 3125 | 0.3236 | 0.8736 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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