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# distilbert_imdb_padding30model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7240
- Accuracy: 0.9332

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2379        | 1.0   | 1563  | 0.2408          | 0.9134   |
| 0.1715        | 2.0   | 3126  | 0.2436          | 0.928    |
| 0.1026        | 3.0   | 4689  | 0.2785          | 0.9294   |
| 0.061         | 4.0   | 6252  | 0.3530          | 0.9286   |
| 0.0454        | 5.0   | 7815  | 0.4828          | 0.9204   |
| 0.0378        | 6.0   | 9378  | 0.4618          | 0.9289   |
| 0.0234        | 7.0   | 10941 | 0.4958          | 0.9269   |
| 0.0239        | 8.0   | 12504 | 0.5093          | 0.9275   |
| 0.0196        | 9.0   | 14067 | 0.4641          | 0.9294   |
| 0.0135        | 10.0  | 15630 | 0.6116          | 0.9277   |
| 0.0128        | 11.0  | 17193 | 0.6289          | 0.9278   |
| 0.012         | 12.0  | 18756 | 0.6210          | 0.9299   |
| 0.0087        | 13.0  | 20319 | 0.6698          | 0.93     |
| 0.0063        | 14.0  | 21882 | 0.6935          | 0.927    |
| 0.0045        | 15.0  | 23445 | 0.6642          | 0.9286   |
| 0.0034        | 16.0  | 25008 | 0.6603          | 0.9318   |
| 0.0009        | 17.0  | 26571 | 0.6836          | 0.9332   |
| 0.0011        | 18.0  | 28134 | 0.7181          | 0.9316   |
| 0.0004        | 19.0  | 29697 | 0.7155          | 0.9329   |
| 0.0004        | 20.0  | 31260 | 0.7240          | 0.9332   |


### 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": ["imdb"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_imdb_padding30model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "imdb", "type": "imdb", "config": "plain_text", "split": "test", "args": "plain_text"}, "metrics": [{"type": "accuracy", "value": 0.93324, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard safetensors distilbert text-classification generated_from_trainer dataset:imdb base_model:distilbert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us