Regression_electra_2
This model is a fine-tuned version of google/electra-small-generator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2032
- Mse: 5.2032
- Mae: 1.8032
- R2: -1.6847
- Accuracy: 0.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 4.3426 | 4.3426 | 1.8114 | -3.0746 | 0.1429 |
| No log | 2.0 | 2 | 4.2398 | 4.2398 | 1.7830 | -2.9781 | 0.1429 |
| No log | 3.0 | 3 | 4.1436 | 4.1436 | 1.7561 | -2.8878 | 0.1429 |
| No log | 4.0 | 4 | 4.0529 | 4.0529 | 1.7305 | -2.8028 | 0.2857 |
| No log | 5.0 | 5 | 3.9672 | 3.9672 | 1.7059 | -2.7223 | 0.2857 |
| No log | 6.0 | 6 | 3.8864 | 3.8864 | 1.6825 | -2.6465 | 0.2857 |
| No log | 7.0 | 7 | 3.8097 | 3.8097 | 1.6600 | -2.5746 | 0.2857 |
| No log | 8.0 | 8 | 3.7376 | 3.7376 | 1.6386 | -2.5070 | 0.2857 |
| No log | 9.0 | 9 | 3.6706 | 3.6706 | 1.6184 | -2.4441 | 0.2857 |
| No log | 10.0 | 10 | 3.6084 | 3.6084 | 1.5995 | -2.3857 | 0.2857 |
| No log | 11.0 | 11 | 3.5517 | 3.5517 | 1.5820 | -2.3325 | 0.2857 |
| No log | 12.0 | 12 | 3.5000 | 3.5000 | 1.5659 | -2.2840 | 0.2857 |
| No log | 13.0 | 13 | 3.4536 | 3.4536 | 1.5513 | -2.2405 | 0.2857 |
| No log | 14.0 | 14 | 3.4127 | 3.4127 | 1.5382 | -2.2020 | 0.2857 |
| No log | 15.0 | 15 | 3.3771 | 3.3771 | 1.5268 | -2.1687 | 0.2857 |
| No log | 16.0 | 16 | 3.3474 | 3.3474 | 1.5171 | -2.1408 | 0.2857 |
| No log | 17.0 | 17 | 3.3234 | 3.3234 | 1.5093 | -2.1183 | 0.2857 |
| No log | 18.0 | 18 | 3.3052 | 3.3052 | 1.5034 | -2.1012 | 0.2857 |
| No log | 19.0 | 19 | 3.2930 | 3.2930 | 1.4994 | -2.0898 | 0.2857 |
| No log | 20.0 | 20 | 3.2869 | 3.2869 | 1.4974 | -2.0840 | 0.2857 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2