electra-finetuned-combo-textbook
This model is a fine-tuned version of google/electra-small-generator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0564
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 3.1589 | 1.0 | 2444 | 2.8061 |
| 2.8979 | 2.0 | 4888 | 2.6797 |
| 2.7362 | 3.0 | 7332 | 2.5658 |
| 2.6336 | 4.0 | 9776 | 2.5164 |
| 2.5261 | 5.0 | 12220 | 2.4465 |
| 2.4427 | 6.0 | 14664 | 2.4096 |
| 2.3747 | 7.0 | 17108 | 2.3456 |
| 2.2923 | 8.0 | 19552 | 2.3135 |
| 2.2594 | 9.0 | 21996 | 2.2672 |
| 2.2265 | 10.0 | 24440 | 2.2565 |
| 2.2075 | 11.0 | 26884 | 2.2290 |
| 2.1548 | 12.0 | 29328 | 2.1606 |
| 2.0962 | 13.0 | 31772 | 2.2014 |
| 2.0714 | 14.0 | 34216 | 2.1514 |
| 2.0423 | 15.0 | 36660 | 2.1457 |
| 2.0263 | 16.0 | 39104 | 2.0935 |
| 2.0029 | 17.0 | 41548 | 2.1112 |
| 1.9786 | 18.0 | 43992 | 2.0855 |
| 1.9352 | 19.0 | 46436 | 2.0737 |
| 1.9182 | 20.0 | 48880 | 2.0564 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2