FineTuneModel
This model is a fine-tuned version of xlm-roberta-base on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4672
- Accuracy: 0.9178
- F1: 0.9153
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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Dataset used to train VasudaSharma/FineTuneModel
Evaluation results
- Accuracy on imdbtest set self-reported0.918
- F1 on imdbtest set self-reported0.915