metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- ag_news
metrics:
- accuracy
model-index:
- name: N_distilbert_agnews_padding0model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: ag_news
type: ag_news
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9464473684210526
N_distilbert_agnews_padding0model
This model is a fine-tuned version of distilbert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.6408
- Accuracy: 0.9464
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: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.1774 | 1.0 | 7500 | 0.1995 | 0.9392 |
0.1403 | 2.0 | 15000 | 0.1939 | 0.9447 |
0.1114 | 3.0 | 22500 | 0.2186 | 0.9459 |
0.0741 | 4.0 | 30000 | 0.2832 | 0.9446 |
0.0499 | 5.0 | 37500 | 0.3070 | 0.9408 |
0.0376 | 6.0 | 45000 | 0.3704 | 0.9434 |
0.0341 | 7.0 | 52500 | 0.3999 | 0.9426 |
0.0319 | 8.0 | 60000 | 0.4505 | 0.9425 |
0.0191 | 9.0 | 67500 | 0.4649 | 0.9399 |
0.013 | 10.0 | 75000 | 0.5064 | 0.9403 |
0.0184 | 11.0 | 82500 | 0.4858 | 0.9405 |
0.0081 | 12.0 | 90000 | 0.5358 | 0.9432 |
0.0065 | 13.0 | 97500 | 0.5440 | 0.9436 |
0.0053 | 14.0 | 105000 | 0.5755 | 0.9436 |
0.0017 | 15.0 | 112500 | 0.5907 | 0.9457 |
0.0042 | 16.0 | 120000 | 0.5916 | 0.9455 |
0.0031 | 17.0 | 127500 | 0.5976 | 0.9468 |
0.0017 | 18.0 | 135000 | 0.6063 | 0.9474 |
0.0003 | 19.0 | 142500 | 0.6248 | 0.9467 |
0.0003 | 20.0 | 150000 | 0.6408 | 0.9464 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3