metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ub_model
results: []
ub_model
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: 2.1626
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 |
|---|---|---|---|
| 2.4899 | 1.0 | 6520 | 2.3690 |
| 2.1245 | 2.0 | 13040 | 2.2029 |
| 1.9808 | 3.0 | 19560 | 2.1626 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.13.1+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3