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# distilbert_agnews_padding10model

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: 0.6613
- Accuracy: 0.9445

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.1788        | 1.0   | 7500   | 0.1962          | 0.9405   |
| 0.1396        | 2.0   | 15000  | 0.1946          | 0.9446   |
| 0.1159        | 3.0   | 22500  | 0.2336          | 0.9433   |
| 0.0802        | 4.0   | 30000  | 0.2599          | 0.9437   |
| 0.055         | 5.0   | 37500  | 0.3196          | 0.9432   |
| 0.0408        | 6.0   | 45000  | 0.4017          | 0.9434   |
| 0.0338        | 7.0   | 52500  | 0.4113          | 0.9412   |
| 0.0258        | 8.0   | 60000  | 0.4533          | 0.9416   |
| 0.0159        | 9.0   | 67500  | 0.4573          | 0.9442   |
| 0.0154        | 10.0  | 75000  | 0.4980          | 0.9420   |
| 0.0171        | 11.0  | 82500  | 0.4935          | 0.9420   |
| 0.0105        | 12.0  | 90000  | 0.5304          | 0.9399   |
| 0.0079        | 13.0  | 97500  | 0.5437          | 0.9439   |
| 0.0061        | 14.0  | 105000 | 0.5889          | 0.9429   |
| 0.0056        | 15.0  | 112500 | 0.5444          | 0.9426   |
| 0.0059        | 16.0  | 120000 | 0.6274          | 0.9429   |
| 0.0004        | 17.0  | 127500 | 0.6264          | 0.9428   |
| 0.0014        | 18.0  | 135000 | 0.6138          | 0.9441   |
| 0.0002        | 19.0  | 142500 | 0.6431          | 0.9447   |
| 0.0005        | 20.0  | 150000 | 0.6613          | 0.9445   |


### 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_padding10model", "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": 0.9444736842105264, "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