metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
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: 0.6801
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5048 | 1.0 | 208 | 0.4436 |
| 0.3539 | 2.0 | 416 | 0.5064 |
| 0.2982 | 3.0 | 624 | 0.4879 |
| 0.2457 | 4.0 | 832 | 0.4303 |
| 0.1879 | 5.0 | 1040 | 0.5073 |
| 0.1542 | 6.0 | 1248 | 0.5062 |
| 0.1273 | 7.0 | 1456 | 0.6459 |
| 0.1017 | 8.0 | 1664 | 0.7306 |
| 0.0919 | 9.0 | 1872 | 0.6311 |
| 0.0821 | 10.0 | 2080 | 0.6049 |
| 0.0752 | 11.0 | 2288 | 0.8128 |
| 0.0629 | 12.0 | 2496 | 0.6608 |
| 0.0609 | 13.0 | 2704 | 0.7059 |
| 0.0555 | 14.0 | 2912 | 0.6801 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1