---
tags:
- generated_from_trainer
model-index:
- name: deberta-base.as.finetuned
  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-base.as.finetuned

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9191

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.6297        | 0.46  | 1000  | 6.5539          |
| 6.4688        | 0.92  | 2000  | 6.4491          |
| 6.3844        | 1.38  | 3000  | 6.3672          |
| 6.3167        | 1.84  | 4000  | 6.2918          |
| 6.252         | 2.3   | 5000  | 6.2378          |
| 6.2027        | 2.76  | 6000  | 6.1876          |
| 6.1586        | 3.22  | 7000  | 6.1400          |
| 6.1194        | 3.68  | 8000  | 6.1085          |
| 6.0882        | 4.14  | 9000  | 6.0751          |
| 6.0543        | 4.6   | 10000 | 6.0519          |
| 6.023         | 5.06  | 11000 | 6.0291          |
| 6.0118        | 5.52  | 12000 | 6.0053          |
| 5.9866        | 5.98  | 13000 | 5.9925          |
| 5.9737        | 6.44  | 14000 | 5.9772          |
| 5.9609        | 6.9   | 15000 | 5.9589          |
| 5.9537        | 7.36  | 16000 | 5.9472          |
| 5.9366        | 7.82  | 17000 | 5.9419          |
| 5.9282        | 8.28  | 18000 | 5.9283          |
| 5.926         | 8.74  | 19000 | 5.9246          |
| 5.9194        | 9.2   | 20000 | 5.9283          |
| 5.9172        | 9.66  | 21000 | 5.9273          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2