---
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta_textclassification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deberta_textclassification

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: 0.3802
- Accuracy: 0.9487

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2717        | 1.0   | 1330 | 0.2609          | 0.9351   |
| 0.1697        | 2.0   | 2660 | 0.2156          | 0.9452   |
| 0.0895        | 3.0   | 3990 | 0.3175          | 0.9465   |
| 0.0343        | 4.0   | 5320 | 0.3872          | 0.9450   |
| 0.0165        | 5.0   | 6650 | 0.3802          | 0.9487   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.4.0
- Tokenizers 0.19.1