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nosql-identifier-electra
This model is a fine-tuned version of bhadresh-savani/electra-base-emotion on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2416
- Accuracy: 0.925
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.5918 | 0.725 |
| No log | 2.0 | 80 | 0.5009 | 0.85 |
| No log | 3.0 | 120 | 0.3760 | 0.9 |
| No log | 4.0 | 160 | 0.4031 | 0.8 |
| No log | 5.0 | 200 | 0.3600 | 0.875 |
| No log | 6.0 | 240 | 0.2552 | 0.925 |
| No log | 7.0 | 280 | 0.2876 | 0.9 |
| No log | 8.0 | 320 | 0.2684 | 0.9 |
| No log | 9.0 | 360 | 0.2454 | 0.95 |
| No log | 10.0 | 400 | 0.2540 | 0.925 |
| No log | 11.0 | 440 | 0.2622 | 0.9 |
| No log | 12.0 | 480 | 0.2397 | 0.95 |
| 0.3893 | 13.0 | 520 | 0.2355 | 0.925 |
| 0.3893 | 14.0 | 560 | 0.2432 | 0.925 |
| 0.3893 | 15.0 | 600 | 0.2416 | 0.925 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.11.0
