metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased
results: []
distilbert-base-uncased
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.0246 | 0.2907 | 500 | 0.0049 |
| 0.0041 | 0.5814 | 1000 | 0.0018 |
| 0.0019 | 0.8721 | 1500 | 0.0012 |
| 0.001 | 1.1628 | 2000 | 0.0010 |
| 0.0008 | 1.4535 | 2500 | 0.0010 |
| 0.0003 | 1.7442 | 3000 | 0.0008 |
| 0.0005 | 2.0349 | 3500 | 0.0010 |
| 0.0003 | 2.3256 | 4000 | 0.0009 |
| 0.0004 | 2.6163 | 4500 | 0.0010 |
| 0.0002 | 2.9070 | 5000 | 0.0009 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1