|
--- |
|
library_name: transformers |
|
license: cc-by-nc-4.0 |
|
base_model: facebook/nougat-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: _Nougat_Base_Edv_En_De_60-40_5Ktarget |
|
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. --> |
|
|
|
# _Nougat_Base_Edv_En_De_60-40_5Ktarget |
|
|
|
This model is a fine-tuned version of [facebook/nougat-base](https://huggingface.co/facebook/nougat-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 112.2584 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 10 |
|
- total_train_batch_size: 80 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 23.5676 | 1.0 | 90 | 1.6737 | |
|
| 15.0965 | 2.0 | 180 | 1.7021 | |
|
| 281.9342 | 3.0 | 270 | 64.7592 | |
|
| 942.554 | 4.0 | 360 | 107.4380 | |
|
| 1077.1051 | 4.9540 | 445 | 112.2584 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.1 |
|
- Pytorch 2.5.1+cu121 |
|
- Tokenizers 0.21.0 |
|
|
