---
base_model: microsoft/trocr-base-stage1
tags:
- generated_from_trainer
model-index:
- name: norhand-hcr-beta1
  results: []
---

<!-- 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. -->

# norhand-hcr-beta1

This model is a fine-tuned version of [microsoft/trocr-base-stage1](https://huggingface.co/microsoft/trocr-base-stage1) on the NorHand dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4687
- Cer: 0.0439

It achieves the following results on the test set:
- CER:  8.3
- WER:  22.07

This is work in progress.

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.7606        | 0.71  | 5000  | 1.0489          | 0.1266 |
| 0.5971        | 1.43  | 10000 | 1.2096          | 0.1028 |
| 0.4448        | 2.14  | 15000 | 1.3738          | 0.0771 |
| 0.3919        | 2.85  | 20000 | 1.2733          | 0.0670 |
| 0.2806        | 3.56  | 25000 | 1.3048          | 0.0597 |
| 0.2055        | 4.28  | 30000 | 1.3568          | 0.0557 |
| 0.2486        | 4.99  | 35000 | 0.9717          | 0.0527 |
| 0.1631        | 5.7   | 40000 | 1.3159          | 0.0506 |
| 0.1159        | 6.41  | 45000 | 1.3730          | 0.0480 |
| 0.0605        | 7.13  | 50000 | 1.3399          | 0.0469 |
| 0.0626        | 7.84  | 55000 | 1.3642          | 0.0460 |
| 0.0532        | 8.55  | 60000 | 1.3870          | 0.0450 |
| 0.0177        | 9.26  | 65000 | 1.4912          | 0.0439 |
| 0.0308        | 9.98  | 70000 | 1.4687          | 0.0439 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3