ssa
This model is a fine-tuned version of Recognai/zeroshot_selectra_small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0036
- Accuracy: 0.9997
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: 3e-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 | Accuracy |
|---|---|---|---|---|
| 0.0017 | 1.0 | 1875 | 0.0025 | 0.9997 |
| 0.0 | 2.0 | 3750 | 0.0036 | 0.9997 |
| 0.0 | 3.0 | 5625 | 0.0036 | 0.9997 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Recognai/zeroshot_selectra_small