<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-IMDB_distilbert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6232
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1531 | 1.0 | 1250 | 2.9545 |
| 2.9251 | 2.0 | 2500 | 2.8577 |
| 2.7865 | 3.0 | 3750 | 2.8460 |
| 2.692 | 4.0 | 5000 | 2.7769 |
| 2.611 | 5.0 | 6250 | 2.8373 |
| 2.5341 | 6.0 | 7500 | 2.7105 |
| 2.4887 | 7.0 | 8750 | 2.6864 |
| 2.4292 | 8.0 | 10000 | 2.6600 |
| 2.3524 | 9.0 | 11250 | 2.6872 |
| 2.3217 | 10.0 | 12500 | 2.6527 |
| 2.2961 | 11.0 | 13750 | 2.6659 |
| 2.2553 | 12.0 | 15000 | 2.6513 |
| 2.2066 | 13.0 | 16250 | 2.6443 |
| 2.1912 | 14.0 | 17500 | 2.5912 |
| 2.1703 | 15.0 | 18750 | 2.6312 |
| 2.1715 | 16.0 | 20000 | 2.6232 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
