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

# outputs_test

This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9518
- Accuracy: 0.7386

## 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: 8e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 12   | 0.7810          | 0.5943   |
| No log        | 2.0   | 24   | 0.5357          | 0.6629   |
| No log        | 3.0   | 36   | 0.4338          | 0.7129   |
| No log        | 4.0   | 48   | 0.5672          | 0.6886   |
| No log        | 5.0   | 60   | 0.7802          | 0.7114   |
| No log        | 6.0   | 72   | 0.7019          | 0.73     |
| No log        | 7.0   | 84   | 0.7304          | 0.7514   |
| No log        | 8.0   | 96   | 1.0413          | 0.72     |
| No log        | 9.0   | 108  | 0.8902          | 0.7314   |
| No log        | 10.0  | 120  | 0.8441          | 0.7514   |
| No log        | 11.0  | 132  | 0.7846          | 0.7643   |
| No log        | 12.0  | 144  | 0.8730          | 0.7586   |
| No log        | 13.0  | 156  | 0.9532          | 0.7386   |
| No log        | 14.0  | 168  | 0.9541          | 0.74     |
| No log        | 15.0  | 180  | 0.9518          | 0.7386   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3