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# trocr-IAM

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: 0.9888
- Cer: 0.1284

## 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
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.7207        | 0.2   | 50   | 1.5524          | 0.2112 |
| 0.7594        | 0.4   | 100  | 0.9888          | 0.1284 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
{"tags": ["trocr", "image-to-text"], "base_model": "microsoft/trocr-base-stage1", "model-index": [{"name": "trocr-IAM", "results": []}]}
transformers tensorboard safetensors vision-encoder-decoder trocr image-to-text base_model:microsoft/trocr-base-stage1 endpoints_compatible region:us