transformers tensorboard 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_0208-2
  results: []
---

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# TrOCR_0208-2

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: 1.2584
- Cer: 0.1211

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.3873        | 1.71  | 500  | 1.6813          | 0.2361 |
| 0.8298        | 3.42  | 1000 | 1.7390          | 0.2441 |
| 0.5587        | 5.14  | 1500 | 1.5896          | 0.2090 |
| 0.376         | 6.85  | 2000 | 1.4717          | 0.1775 |
| 0.2847        | 8.56  | 2500 | 1.5528          | 0.1928 |
| 0.2376        | 10.27 | 3000 | 1.4412          | 0.1727 |
| 0.2101        | 11.99 | 3500 | 1.3770          | 0.1592 |
| 0.2551        | 13.7  | 4000 | 1.4311          | 0.1564 |
| 0.226         | 15.41 | 4500 | 1.2536          | 0.1337 |
| 0.1365        | 17.12 | 5000 | 1.2753          | 0.1272 |
| 0.14          | 18.84 | 5500 | 1.2584          | 0.1211 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0
