---
license: apache-2.0
base_model: distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: twitter_distilbert_sentiment_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. -->

# twitter_distilbert_sentiment_model

This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3731
- Accuracy: 0.7445

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6506        | 0.2   | 100  | 0.5897          | 0.4885   |
| 0.5579        | 0.4   | 200  | 0.5109          | 0.669    |
| 0.475         | 0.6   | 300  | 0.4178          | 0.724    |
| 0.4342        | 0.8   | 400  | 0.4080          | 0.7125   |
| 0.4214        | 1.0   | 500  | 0.3867          | 0.736    |
| 0.4048        | 1.2   | 600  | 0.3910          | 0.7365   |
| 0.3791        | 1.4   | 700  | 0.3858          | 0.7405   |
| 0.3793        | 1.6   | 800  | 0.3779          | 0.745    |
| 0.3752        | 1.8   | 900  | 0.3722          | 0.7445   |
| 0.3422        | 2.0   | 1000 | 0.3731          | 0.7445   |


### Framework versions

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