---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: bert_reviews
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_reviews

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co./bert-base-cased) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8063
- eval_accuracy: 0.647
- eval_runtime: 38.7598
- eval_samples_per_second: 129.0
- eval_steps_per_second: 16.125
- epoch: 0.52
- step: 13000

## 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: 1.2e-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
- training_steps: 20000

### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1