electra-base-generator-rank2
This model is a fine-tuned version of google/electra-base-generator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2155
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: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
8.206 | 1.0 | 179 | 3.8146 |
3.5779 | 2.0 | 358 | 3.2736 |
3.3568 | 3.0 | 537 | 3.2155 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
Model tree for alitolga/electra-base-generator-rank2
Base model
google/electra-base-generator