metadata
base_model: microsoft/dit-base-finetuned-rvlcdip
tags:
- 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:
- F1: 0.9705
- Loss: 0.0391
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: 3e-05
- 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: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | F1 | Validation Loss |
|---|---|---|---|---|
| 0.0594 | 1.0 | 1981 | 0.9705 | 0.0440 |
| 0.0678 | 2.0 | 3962 | 0.9705 | 0.0447 |
| 0.0615 | 3.0 | 5943 | 0.9705 | 0.0416 |
| 0.0685 | 4.0 | 7924 | 0.9705 | 0.0385 |
| 0.0582 | 5.0 | 9905 | 0.9705 | 0.0391 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1