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# TrOCR_0217_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: 2.3878
- Cer: 1.3375

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8696        | 0.05  | 500  | 0.9530          | 0.4975 |
| 0.6768        | 0.09  | 1000 | 0.7825          | 0.0984 |
| 0.5709        | 0.14  | 1500 | 0.7372          | 0.1095 |
| 0.6272        | 0.18  | 2000 | 0.7491          | 0.1099 |
| 0.8396        | 0.23  | 2500 | 0.6612          | 0.0774 |
| 0.9212        | 0.27  | 3000 | 0.8658          | 0.3732 |
| 0.3639        | 0.32  | 3500 | 0.8539          | 0.3199 |
| 0.1972        | 0.36  | 4000 | 0.7628          | 0.1736 |
| 0.4512        | 0.41  | 4500 | 1.6031          | 0.1275 |
| 1.6265        | 0.46  | 5000 | 2.3878          | 1.3375 |


### Framework versions

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

{"tags": ["generated_from_trainer"], "base_model": "microsoft/trocr-base-stage1", "model-index": [{"name": "TrOCR_0217_All_data", "results": []}]}
transformers tensorboard safetensors vision-encoder-decoder generated_from_trainer base_model:microsoft/trocr-base-stage1 endpoints_compatible region:us