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_0216
  results: []
---

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# TrOCR_0216

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: 1.8095
- Cer: 0.0608

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.626         | 0.5   | 500  | 0.9106          | 0.1848 |
| 0.5456        | 1.0   | 1000 | 0.7220          | 0.1927 |
| 0.4588        | 1.5   | 1500 | 0.7064          | 0.1240 |
| 0.6771        | 2.0   | 2000 | 0.7207          | 0.2169 |
| 0.3778        | 2.5   | 2500 | 0.6689          | 0.1283 |
| 0.4543        | 3.0   | 3000 | 0.6833          | 0.3052 |
| 0.4428        | 3.5   | 3500 | 0.6604          | 0.0893 |
| 0.4899        | 4.0   | 4000 | 0.7024          | 0.0692 |
| 0.2548        | 4.5   | 4500 | 1.0137          | 0.1599 |
| 0.0851        | 5.0   | 5000 | 1.8095          | 0.0608 |


### Framework versions

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