electra-base-generator-Wnut-TokenClassification
This model is a fine-tuned version of google/electra-base-generator on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5054
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 |
|---|---|---|---|
| 1.1382 | 1.0 | 425 | 0.9616 |
| 0.4992 | 2.0 | 850 | 0.5462 |
| 0.4307 | 3.0 | 1275 | 0.5054 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for alitolga/electra-base-generator-Wnut-TokenClassification
Base model
google/electra-base-generator