---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: windshield-viper/discord-distilbert
model-index:
- name: my_awesome_model
  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. -->

# my_awesome_model

This model is a fine-tuned version of [windshield-viper/discord-distilbert](https://huggingface.co/windshield-viper/discord-distilbert) on the Twitter sentiment dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0714
- Accuracy: 0.9796

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1045        | 1.0   | 4075 | 0.0929          | 0.9712   |
| 0.0626        | 2.0   | 8150 | 0.0714          | 0.9796   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2