|
--- |
|
license: mit |
|
base_model: MoritzLaurer/deberta-v3-large-zeroshot-v2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arceasy |
|
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. --> |
|
|
|
# fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-arceasy |
|
|
|
This model is a fine-tuned version of [MoritzLaurer/deberta-v3-large-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v2.0) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8119 |
|
- Accuracy: 0.8333 |
|
|
|
## 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: 1.5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 6 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 141 | 0.4737 | 0.8246 | |
|
| No log | 2.0 | 282 | 0.5577 | 0.8246 | |
|
| No log | 3.0 | 423 | 0.6516 | 0.8298 | |
|
| 0.3413 | 4.0 | 564 | 0.7210 | 0.8333 | |
|
| 0.3413 | 5.0 | 705 | 0.7613 | 0.8386 | |
|
| 0.3413 | 6.0 | 846 | 0.8119 | 0.8333 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
