---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_us_reviews
metrics:
- accuracy
model-index:
- name: bert_category_prediction_amazon_book_reviews
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: amazon_us_reviews
      type: amazon_us_reviews
      config: Books_v1_00
      split: train[:100]
      args: Books_v1_00
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.6
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert_category_prediction_amazon_book_reviews

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the amazon_us_reviews dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3592
- Accuracy: 0.6

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 5    | 1.6152          | 0.6      |
| No log        | 2.0   | 10   | 1.4903          | 0.6      |
| No log        | 3.0   | 15   | 1.4141          | 0.6      |
| No log        | 4.0   | 20   | 1.3729          | 0.6      |
| No log        | 5.0   | 25   | 1.3592          | 0.6      |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3