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# distilbert_agnews_padding80model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6430
- Accuracy: 0.9454

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.1898        | 1.0   | 7500   | 0.1891          | 0.9404   |
| 0.142         | 2.0   | 15000  | 0.1977          | 0.9436   |
| 0.1261        | 3.0   | 22500  | 0.2154          | 0.9470   |
| 0.0881        | 4.0   | 30000  | 0.2706          | 0.9462   |
| 0.0656        | 5.0   | 37500  | 0.2971          | 0.9397   |
| 0.045         | 6.0   | 45000  | 0.3819          | 0.9393   |
| 0.0377        | 7.0   | 52500  | 0.4230          | 0.9380   |
| 0.0269        | 8.0   | 60000  | 0.4504          | 0.9412   |
| 0.0284        | 9.0   | 67500  | 0.4358          | 0.9432   |
| 0.0155        | 10.0  | 75000  | 0.4849          | 0.9412   |
| 0.0159        | 11.0  | 82500  | 0.5002          | 0.9430   |
| 0.0112        | 12.0  | 90000  | 0.5023          | 0.9418   |
| 0.007         | 13.0  | 97500  | 0.4904          | 0.9425   |
| 0.0082        | 14.0  | 105000 | 0.5366          | 0.9457   |
| 0.005         | 15.0  | 112500 | 0.5462          | 0.9438   |
| 0.0046        | 16.0  | 120000 | 0.5607          | 0.9439   |
| 0.001         | 17.0  | 127500 | 0.5958          | 0.9441   |
| 0.0038        | 18.0  | 135000 | 0.6113          | 0.9459   |
| 0.0009        | 19.0  | 142500 | 0.6338          | 0.9463   |
| 0.0002        | 20.0  | 150000 | 0.6430          | 0.9454   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ag_news"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_agnews_padding80model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "ag_news", "type": "ag_news", "config": "default", "split": "test", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9453947368421053, "name": "Accuracy"}]}]}]}
transformers pytorch distilbert text-classification generated_from_trainer dataset:ag_news base_model:distilbert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us