File size: 1,600 Bytes
3506307 05eb3cf 3506307 05eb3cf 7bd9aea 05eb3cf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: donut_finetuned_chart
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. -->
# donut_finetuned_chart
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co./naver-clova-ix/donut-base) on an chart images dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4957
- Cer: 0.2318
## 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: 2.3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4943 | 1.0 | 166 | 0.6634 | 0.2341 |
| 0.475 | 2.0 | 333 | 0.5370 | 0.2320 |
| 0.3009 | 3.0 | 500 | 0.5051 | 0.2318 |
| 0.2611 | 3.98 | 664 | 0.4957 | 0.2318 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
|