|
--- |
|
license: mit |
|
base_model: microsoft/deberta-v3-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: deberta-v3-base-kaggle-mlm |
|
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. --> |
|
|
|
# deberta-v3-base-kaggle-mlm |
|
|
|
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5600 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 25 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:------:|:---------------:| |
|
| 3.1466 | 1.0 | 6848 | 2.9173 | |
|
| 2.6316 | 2.0 | 13696 | 2.4139 | |
|
| 2.3281 | 3.0 | 20544 | 2.2020 | |
|
| 2.2122 | 4.0 | 27392 | 2.0776 | |
|
| 2.0794 | 5.0 | 34240 | 1.9780 | |
|
| 2.0299 | 6.0 | 41088 | 1.8861 | |
|
| 1.9629 | 7.0 | 47936 | 1.8213 | |
|
| 1.9001 | 8.0 | 54784 | 1.7946 | |
|
| 1.8508 | 9.0 | 61632 | 1.7551 | |
|
| 1.8157 | 10.0 | 68480 | 1.7485 | |
|
| 1.7815 | 11.0 | 75328 | 1.7100 | |
|
| 1.7423 | 12.0 | 82176 | 1.6970 | |
|
| 1.7318 | 13.0 | 89024 | 1.6813 | |
|
| 1.7173 | 14.0 | 95872 | 1.6493 | |
|
| 1.6902 | 15.0 | 102720 | 1.6243 | |
|
| 1.7002 | 16.0 | 109568 | 1.6313 | |
|
| 1.6714 | 17.0 | 116416 | 1.6181 | |
|
| 1.6605 | 18.0 | 123264 | 1.6026 | |
|
| 1.6331 | 19.0 | 130112 | 1.5825 | |
|
| 1.6143 | 20.0 | 136960 | 1.5903 | |
|
| 1.6136 | 21.0 | 143808 | 1.5812 | |
|
| 1.6151 | 22.0 | 150656 | 1.5708 | |
|
| 1.6122 | 23.0 | 157504 | 1.5806 | |
|
| 1.6025 | 24.0 | 164352 | 1.5492 | |
|
| 1.614 | 25.0 | 171200 | 1.5555 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|