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---
base_model: microsoft/trocr-base-stage1
tags:
- generated_from_trainer
model-index:
- name: TrOCR_0216_All_data
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# TrOCR_0216_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: 1.4491
- Cer: 0.3676
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8013 | 0.05 | 500 | 0.8621 | 0.1267 |
| 1.0882 | 0.09 | 1000 | 0.8068 | 0.1353 |
| 0.5746 | 0.14 | 1500 | 0.7315 | 0.0899 |
| 0.5403 | 0.18 | 2000 | 0.7111 | 0.2276 |
| 1.2505 | 0.23 | 2500 | 0.6538 | 0.1042 |
| 0.7987 | 0.27 | 3000 | 0.6687 | 0.1228 |
| 0.3878 | 0.32 | 3500 | 0.6745 | 0.0879 |
| 0.4788 | 0.36 | 4000 | 0.7084 | 0.0781 |
| 0.449 | 0.41 | 4500 | 1.4491 | 0.3676 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0
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