---
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-base-1107
  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-v3-base-1107

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: 0.9863

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7812        | 1.0   | 1828  | 0.9348          |
| 0.4504        | 2.0   | 3656  | 0.7760          |
| 0.331         | 3.0   | 5484  | 0.6675          |
| 0.2598        | 4.0   | 7312  | 0.6908          |
| 0.1981        | 5.0   | 9140  | 0.6874          |
| 0.1503        | 6.0   | 10968 | 0.7792          |
| 0.1196        | 7.0   | 12796 | 0.8088          |
| 0.093         | 8.0   | 14624 | 0.8430          |
| 0.0709        | 9.0   | 16452 | 0.9185          |
| 0.0554        | 10.0  | 18280 | 0.9863          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1