electra-small-discriminator-finetuned-enem
This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2551
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: 2
- eval_batch_size: 2
- 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 | Accuracy |
---|---|---|---|---|
1.6117 | 1.0 | 933 | 1.6094 | 0.1967 |
1.6088 | 2.0 | 1866 | 1.6094 | 0.2492 |
1.6091 | 3.0 | 2799 | 1.6094 | 0.2551 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0
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Model tree for Angelinis/electra-small-discriminator-finetuned-enem
Base model
google/electra-small-discriminator