---
license: mit
base_model: microsoft/mdeberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mdeberta-v3-base-on-custom-kural-500
  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. -->

# mdeberta-v3-base-on-custom-kural-500

This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2705
- Accuracy: 0.93

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 25   | 0.4294          | 0.85     |
| No log        | 2.0   | 50   | 0.2183          | 0.92     |
| No log        | 3.0   | 75   | 0.4484          | 0.88     |
| No log        | 4.0   | 100  | 0.5041          | 0.87     |
| No log        | 5.0   | 125  | 0.2482          | 0.93     |
| No log        | 6.0   | 150  | 0.9998          | 0.81     |
| No log        | 7.0   | 175  | 0.2305          | 0.94     |
| No log        | 8.0   | 200  | 0.2145          | 0.95     |
| No log        | 9.0   | 225  | 0.2428          | 0.94     |
| No log        | 10.0  | 250  | 0.2705          | 0.93     |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2