metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cat-1-html-distilbert-base-uncased-v3
results: []
cat-1-html-distilbert-base-uncased-v3
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: 0.1858
- Accuracy: 0.9627
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: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.236 | 1.0 | 803 | 0.1452 | 0.9425 |
| 0.1295 | 2.0 | 1606 | 0.1392 | 0.9395 |
| 0.1151 | 3.0 | 2409 | 0.1617 | 0.9605 |
| 0.0805 | 4.0 | 3212 | 0.1483 | 0.9599 |
| 0.0634 | 5.0 | 4015 | 0.1907 | 0.9633 |
| 0.0449 | 6.0 | 4818 | 0.1858 | 0.9627 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1