nbme-electra-large-generator
This model is a fine-tuned version of google/electra-large-generator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0122
- Accuracy: 0.9977
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 195 | 0.1125 | 0.9789 |
| No log | 2.0 | 390 | 0.0141 | 0.9973 |
| 0.6233 | 3.0 | 585 | 0.0122 | 0.9977 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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