pytorch tensorboard deberta-v2 text-classification transformers generated_from_trainer license:mit model-index
---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: deberta-v3-base-goemotions
  results: []
---

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# deberta-v3-base-goemotions

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: 1.7610
- F1: 0.4468

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.5709        | 1.0   | 6164  | 1.5211          | 0.4039 |
| 1.3689        | 2.0   | 12328 | 1.5466          | 0.4198 |
| 1.1819        | 3.0   | 18492 | 1.5670          | 0.4520 |
| 1.0059        | 4.0   | 24656 | 1.6673          | 0.4479 |
| 0.8129        | 5.0   | 30820 | 1.7610          | 0.4468 |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
