Update README.md
Browse files
README.md
CHANGED
|
@@ -1,32 +1,41 @@
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
- generated_from_trainer
|
|
|
|
| 4 |
model-index:
|
| 5 |
- name: trocr-large-printed-e13b_tesseract_MICR_ocr
|
| 6 |
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
---
|
| 8 |
|
| 9 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
-
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
-
|
| 12 |
# trocr-large-printed-e13b_tesseract_MICR_ocr
|
| 13 |
|
| 14 |
-
This model is a fine-tuned version of [microsoft/trocr-large-printed](https://huggingface.co/microsoft/trocr-large-printed)
|
|
|
|
| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
- Loss: 0.2432
|
| 17 |
-
-
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
| 21 |
-
|
| 22 |
|
| 23 |
## Intended uses & limitations
|
| 24 |
|
| 25 |
-
|
| 26 |
|
| 27 |
## Training and evaluation data
|
| 28 |
|
| 29 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
|
@@ -43,7 +52,7 @@ The following hyperparameters were used during training:
|
|
| 43 |
|
| 44 |
### Training results
|
| 45 |
|
| 46 |
-
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 48 |
| 0.486 | 1.0 | 841 | 0.5168 | 0.0428 |
|
| 49 |
| 0.2187 | 2.0 | 1682 | 0.2432 | 0.0036 |
|
|
@@ -54,4 +63,4 @@ The following hyperparameters were used during training:
|
|
| 54 |
- Transformers 4.28.1
|
| 55 |
- Pytorch 2.0.1
|
| 56 |
- Datasets 2.13.1
|
| 57 |
-
- Tokenizers 0.13.3
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
- generated_from_trainer
|
| 4 |
+
- TrOCR
|
| 5 |
model-index:
|
| 6 |
- name: trocr-large-printed-e13b_tesseract_MICR_ocr
|
| 7 |
results: []
|
| 8 |
+
license: bsd-3-clause
|
| 9 |
+
language:
|
| 10 |
+
- en
|
| 11 |
+
metrics:
|
| 12 |
+
- cer
|
| 13 |
---
|
| 14 |
|
|
|
|
|
|
|
|
|
|
| 15 |
# trocr-large-printed-e13b_tesseract_MICR_ocr
|
| 16 |
|
| 17 |
+
This model is a fine-tuned version of [microsoft/trocr-large-printed](https://huggingface.co/microsoft/trocr-large-printed).
|
| 18 |
+
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.2432
|
| 21 |
+
- CER: 0.0036
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
| 25 |
+
For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Optical%20Character%20Recognition%20(OCR)/Tesseract%20MICR%20(E15B%20Dataset)/TrOCR-e13b%20-%20tesseractMICR.ipynb
|
| 26 |
|
| 27 |
## Intended uses & limitations
|
| 28 |
|
| 29 |
+
This model is intended to demonstrate my ability to solve a complex problem using technology.
|
| 30 |
|
| 31 |
## Training and evaluation data
|
| 32 |
|
| 33 |
+
Dataset Source: https://github.com/DoubangoTelecom/tesseractMICR/tree/master/datasets/e13b
|
| 34 |
+
|
| 35 |
+
__Histogram of Label Character Lengths__
|
| 36 |
+
|
| 37 |
+
/Tesseract%20MICR%20(E15B%20Dataset)/Images/Histogram%20of%20Label%20Character%20Length.png)
|
| 38 |
+
|
| 39 |
|
| 40 |
## Training procedure
|
| 41 |
|
|
|
|
| 52 |
|
| 53 |
### Training results
|
| 54 |
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | CER |
|
| 56 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 57 |
| 0.486 | 1.0 | 841 | 0.5168 | 0.0428 |
|
| 58 |
| 0.2187 | 2.0 | 1682 | 0.2432 | 0.0036 |
|
|
|
|
| 63 |
- Transformers 4.28.1
|
| 64 |
- Pytorch 2.0.1
|
| 65 |
- Datasets 2.13.1
|
| 66 |
+
- Tokenizers 0.13.3
|