metadata
base_model: microsoft/dit-base-finetuned-rvlcdip
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- f1
model-index:
- name: donut-base-beans
results: []
donut-base-beans
This model is a fine-tuned version of microsoft/dit-base-finetuned-rvlcdip on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1870
- F1: 0.3826
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: 0.0005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 30000
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.2524 | 500 | 0.1623 | 0.3040 |
| 0.1656 | 0.5048 | 1000 | 0.4307 | nan |
| 0.1656 | 0.7572 | 1500 | 0.1493 | nan |
| 0.14 | 1.0096 | 2000 | 0.1870 | 0.3826 |
| 0.14 | 1.2620 | 2500 | 0.1076 | nan |
| 0.1285 | 1.5144 | 3000 | 0.0896 | 0.3812 |
| 0.1285 | 1.7668 | 3500 | 0.1405 | nan |
| 0.123 | 2.0192 | 4000 | 0.2061 | nan |
| 0.123 | 2.2716 | 4500 | 0.2283 | 0.2395 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1