distilbert-base-uncased-finetuned-alm
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4734
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 2.5161 | 1.0 | 2 | 1.8760 |
| 1.6812 | 2.0 | 4 | 1.5609 |
| 1.5671 | 3.0 | 6 | 1.6513 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.10.0
- Datasets 2.6.1
- Tokenizers 0.13.2