transformers safetensors vision-encoder-decoder generated_from_trainer base_model:microsoft/trocr-base-stage1 endpoints_compatible region:us
---
base_model: microsoft/trocr-base-stage1
tags:
- generated_from_trainer
model-index:
- name: TrOCR_0208
  results: []
---

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# TrOCR_0208

This model is a fine-tuned version of [microsoft/trocr-base-stage1](https://huggingface.co/microsoft/trocr-base-stage1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8231
- Cer: 0.0842

## 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: 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 | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.8364        | 0.68  | 200  | 1.5199          | 0.1926 |
| 1.3561        | 1.37  | 400  | 1.4427          | 0.1711 |
| 0.382         | 2.05  | 600  | 0.9931          | 0.1115 |
| 0.343         | 2.74  | 800  | 0.8231          | 0.0842 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
