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_0219_All_data
  results: []
---

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# TrOCR_0219_All_data

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: 0.8182
- Cer: 0.1603

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7188        | 0.05  | 500  | 0.8385          | 0.1740 |
| 0.9207        | 0.09  | 1000 | 0.8321          | 0.1692 |
| 1.1151        | 0.14  | 1500 | 0.8163          | 0.0989 |
| 0.9162        | 0.18  | 2000 | 0.6953          | 0.0830 |
| 0.5558        | 0.23  | 2500 | 0.8182          | 0.1603 |


### Framework versions

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