clasificador-rotten-tomatoes-funnel-transfomer
This model is a fine-tuned version of funnel-transformer/small-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4962
- Accuracy: 0.8856
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: 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: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.4326 | 1.0 | 1067 | 0.4819 | 0.8471 |
0.2963 | 2.0 | 2134 | 0.4710 | 0.8856 |
0.1752 | 3.0 | 3201 | 0.4962 | 0.8856 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for edgilr/clasificador-rotten-tomatoes-funnel-transfomer
Base model
funnel-transformer/small-base