electra-distilled-qa
This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Exact: 68.1799
- F1: 71.7591
- Total: 11873
- Hasans Exact: 70.3441
- Hasans F1: 77.5129
- Hasans Total: 5928
- Noans Exact: 66.0219
- Noans F1: 66.0219
- Noans Total: 5945
- Best Exact: 68.1799
- Best Exact Thresh: 0.0
- Best F1: 71.7591
- Best F1 Thresh: 0.0
- Loss: No log
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: 4.244429373516175e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Exact | F1 | Total | Exact Thresh | F1 Thresh | Validation Loss | |
|---|---|---|---|---|---|---|---|---|---|
| 1.9086 | 1.0 | 1030 | 11873 | 57.9719 | 62.0421 | 5945 | 0.0 | 0.0 | No log |
| 1.2919 | 2.0 | 2060 | 11873 | 66.8155 | 70.0115 | 5945 | 0.0 | 0.0 | No log |
| 1.1194 | 3.0 | 3090 | 11873 | 66.8070 | 70.1755 | 5945 | 0.0 | 0.0 | No log |
| 1.0051 | 4.0 | 4120 | 11873 | 68.9632 | 72.4292 | 5945 | 0.0 | 0.0 | No log |
| 0.9191 | 5.0 | 5150 | 11873 | 67.9609 | 71.3639 | 5945 | 0.0 | 0.0 | No log |
| 0.8562 | 6.0 | 6180 | 11873 | 69.5949 | 72.9986 | 5945 | 0.0 | 0.0 | No log |
| 0.8017 | 7.0 | 7210 | 11873 | 68.6095 | 72.2303 | 5945 | 0.0 | 0.0 | No log |
| 0.7554 | 8.0 | 8240 | 11873 | 67.4556 | 71.0028 | 5945 | 0.0 | 0.0 | No log |
| 0.7196 | 9.0 | 9270 | 11873 | 68.0788 | 71.6887 | 5945 | 0.0 | 0.0 | No log |
| 0.6914 | 10.0 | 10300 | 11873 | 68.6431 | 72.1849 | 5945 | 0.0 | 0.0 | No log |
| 0.6687 | 11.0 | 11330 | 11873 | 68.2473 | 71.7832 | 5945 | 0.0 | 0.0 | No log |
| 0.6517 | 12.0 | 12360 | 11873 | 68.1799 | 71.7591 | 5945 | 0.0 | 0.0 | No log |
Framework versions
- Transformers 4.28.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3