tuned_DistilBERT_after_big
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 2.4817 | 1.0 | 12404 | 2.0606 |
| 2.2486 | 2.0 | 24808 | 1.7253 |
| 2.0827 | 3.0 | 37212 | 1.4989 |
| 1.8461 | 4.0 | 49616 | 1.1537 |
| 1.6012 | 5.0 | 62020 | 0.9233 |
| 1.3225 | 6.0 | 74424 | 0.7399 |
| 1.0718 | 7.0 | 86828 | 0.5874 |
| 0.9104 | 8.0 | 99232 | 0.4252 |
| 0.754 | 9.0 | 111636 | 0.3732 |
| 0.8686 | 10.0 | 124040 | 0.3262 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
