electra_hongkongese_small_pos_hkcancor
This model is a fine-tuned version of toastynews/electra-hongkongese-small-discriminator on the hkcancor dataset. It achieves the following results on the evaluation set:
- Loss: 0.2846
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.475 | 0.3004 | 201 | 1.3204 |
| 0.8403 | 0.6009 | 402 | 0.7444 |
| 0.6056 | 0.9013 | 603 | 0.5415 |
| 0.486 | 1.2018 | 804 | 0.4398 |
| 0.4053 | 1.5022 | 1005 | 0.3744 |
| 0.3702 | 1.8027 | 1206 | 0.3419 |
| 0.3413 | 2.1031 | 1407 | 0.3125 |
| 0.3239 | 2.4036 | 1608 | 0.2950 |
| 0.3098 | 2.7040 | 1809 | 0.2846 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1