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donut_experiment_bayesian_trial_12
davelotito/donut_experiment_bayesian_trial_12
donut_experiment_bayesian_trial_12 is a image-text-to-text model from davelotito. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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_experiment_bayesian_trial_12
This model is a fine-tuned version of naver-clova-ix/donut-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5083
- Bleu: 0.0675
- Precisions: [0.8421052631578947, 0.7822966507177034, 0.7423822714681441, 0.7006578947368421]
- Brevity Penalty: 0.0883
- Length Ratio: 0.2918
- Translation Length: 475
- Reference Length: 1628
- Cer: 0.7537
- Wer: 0.8211
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: 1.2643161326759464e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Cer | Wer |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0251 | 1.0 | 253 | 0.4936 | 0.0660 | [0.8375527426160337, 0.7673860911270983, 0.7277777777777777, 0.6897689768976898] | 0.0876 | 0.2912 | 474 | 1628 | 0.7600 | 0.8274 |
| 0.0144 | 2.0 | 506 | 0.4987 | 0.0683 | [0.8445378151260504, 0.7852028639618138, 0.7458563535911602, 0.7049180327868853] | 0.0889 | 0.2924 | 476 | 1628 | 0.7515 | 0.8189 |
| 0.0089 | 3.0 | 759 | 0.5083 | 0.0675 | [0.8421052631578947, 0.7822966507177034, 0.7423822714681441, 0.7006578947368421] | 0.0883 | 0.2918 | 475 | 1628 | 0.7537 | 0.8211 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024