<!-- 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. -->
20split_dataset_version1
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: 2.1942
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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7475 | 1.0 | 11851 | 2.5194 |
| 2.5528 | 2.0 | 23702 | 2.4191 |
| 2.4649 | 3.0 | 35553 | 2.3646 |
| 2.4038 | 4.0 | 47404 | 2.3289 |
| 2.3632 | 5.0 | 59255 | 2.2922 |
| 2.3273 | 6.0 | 71106 | 2.2739 |
| 2.2964 | 7.0 | 82957 | 2.2494 |
| 2.2732 | 8.0 | 94808 | 2.2217 |
| 2.2526 | 9.0 | 106659 | 2.2149 |
| 2.2369 | 10.0 | 118510 | 2.2029 |
| 2.222 | 11.0 | 130361 | 2.2020 |
| 2.2135 | 12.0 | 142212 | 2.1942 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
