---
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-small-essay-grading-classification
  results: []
---

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# deberta-v3-small-essay-grading-classification

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8790
- Qwk: 0.7595

## 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: 32
- eval_batch_size: 32
- 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 | Qwk    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 433  | 0.9495          | 0.7132 |
| 1.0266        | 2.0   | 866  | 0.8787          | 0.7561 |
| 1.0266        | 3.0   | 1299 | 0.8790          | 0.7595 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2