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# TrOCRTraining2

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: 0.4589
- Cer: 0.0115

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7331        | 1.06  | 50   | 0.8204          | 0.1775 |
| 0.4908        | 2.13  | 100  | 0.5457          | 0.0229 |
| 0.4912        | 3.19  | 150  | 0.5845          | 0.0229 |
| 0.4713        | 4.26  | 200  | 0.5433          | 0.0137 |
| 0.4435        | 5.32  | 250  | 0.4988          | 0.0126 |
| 0.4152        | 6.38  | 300  | 0.5058          | 0.0137 |
| 0.3026        | 7.45  | 350  | 0.4947          | 0.0126 |
| 0.4133        | 8.51  | 400  | 0.4988          | 0.0115 |
| 0.4029        | 9.57  | 450  | 0.4906          | 0.0160 |
| 0.3439        | 10.64 | 500  | 0.4790          | 0.0160 |
| 0.3386        | 11.7  | 550  | 0.4661          | 0.0103 |
| 0.3511        | 12.77 | 600  | 0.4617          | 0.0115 |
| 0.374         | 13.83 | 650  | 0.4629          | 0.0149 |
| 0.3357        | 14.89 | 700  | 0.4589          | 0.0115 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "TrOCRTraining2", "results": []}]}
transformers pytorch tensorboard vision-encoder-decoder generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #region-us 

TrOCRTraining2
==============


This model is a fine-tuned version of microsoft/trocr-base-stage1 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4589
* Cer: 0.0115


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: 15


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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: 15 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #region-us 
 ### 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: 15 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3