---
tags:
- generated_from_trainer
datasets:
- big_patent
model-index:
- name: reformer-big_patent-16384
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# reformer-big_patent-16384

This model was trained from scratch on the big_patent dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1465

## 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: 2.5e-06
- 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: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.1432        | 1.0   | 17732 | 6.2011          |
| 6.0925        | 2.0   | 35464 | 6.1784          |
| 6.078         | 3.0   | 53196 | 6.1465          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1