---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta_sentt
  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. -->

# deberta_sentt

This model is a fine-tuned version of [kkmkorea/deberta_sentt](https://huggingface.co/kkmkorea/deberta_sentt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7937
- Accuracy: 0.7667

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.01          | 1.32  | 500  | 2.1629          | 0.7340   |
| 0.0108        | 2.64  | 1000 | 2.0197          | 0.7504   |
| 0.0012        | 3.96  | 1500 | 1.7937          | 0.7667   |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.1.0a0+b5021ba
- Datasets 3.5.0
- Tokenizers 0.13.3