---
license: mit
base_model: tgsc/debertina-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: debertina-base-finetuned-deberta
  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. -->

# debertina-base-finetuned-deberta

This model is a fine-tuned version of [tgsc/debertina-base](https://huggingface.co/tgsc/debertina-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3760
- Accuracy: 0.8760

## 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: 2e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 442  | 0.3181          | 0.8708   |
| 0.5097        | 2.0   | 884  | 0.3760          | 0.8760   |
| 0.2858        | 3.0   | 1326 | 0.5142          | 0.8656   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1