---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-base-amazon-reviews-multi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deberta-v3-base-amazon-reviews-multi

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9288
- Accuracy: 0.604

## 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: 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: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9134        | 1.0   | 6250  | 0.9131          | 0.6012   |
| 0.8411        | 2.0   | 12500 | 0.9258          | 0.6008   |
| 0.7503        | 3.0   | 18750 | 0.9383          | 0.6038   |
| 0.621         | 4.0   | 25000 | 1.0527          | 0.6026   |
| 0.5088        | 5.0   | 31250 | 1.1826          | 0.5994   |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.0.1
- Datasets 2.9.0
- Tokenizers 0.13.3