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# results

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the software subset of the Amazon reviews dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2385
- Accuracy: 0.6475
- F1 Score: 0.5149
- Precision Score: 0.5166
- Recall Score: 0.5186

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Score | Precision Score | Recall Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|
| 0.8908        | 1.0   | 1000  | 0.8550          | 0.6775   | 0.4135   | 0.5308          | 0.4387       |
| 0.7222        | 2.0   | 2000  | 0.8526          | 0.68     | 0.4892   | 0.5139          | 0.4846       |
| 0.5898        | 3.0   | 3000  | 0.9706          | 0.659    | 0.5017   | 0.5050          | 0.4995       |
| 0.4364        | 4.0   | 4000  | 1.0946          | 0.669    | 0.5143   | 0.5231          | 0.5074       |
| 0.2925        | 5.0   | 5000  | 1.5019          | 0.6385   | 0.5190   | 0.5275          | 0.5281       |
| 0.2378        | 6.0   | 6000  | 1.6785          | 0.639    | 0.5095   | 0.5204          | 0.5122       |
| 0.1715        | 7.0   | 7000  | 1.8847          | 0.6535   | 0.5156   | 0.5163          | 0.5189       |
| 0.1177        | 8.0   | 8000  | 2.1249          | 0.6425   | 0.5232   | 0.5251          | 0.5309       |
| 0.0968        | 9.0   | 9000  | 2.1572          | 0.659    | 0.5226   | 0.5220          | 0.5288       |
| 0.0555        | 10.0  | 10000 | 2.2385          | 0.6475   | 0.5149   | 0.5166          | 0.5186       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "results", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us