---
base_model: google/reformer-crime-and-punishment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reformer_model
  results: []
---

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

This model is a fine-tuned version of [google/reformer-crime-and-punishment](https://huggingface.co./google/reformer-crime-and-punishment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6693
- Accuracy: 0.561

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6841        | 1.0   | 625  | 0.6725          | 0.559    |
| 0.6789        | 2.0   | 1250 | 0.6693          | 0.561    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1