---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: crisis_sentiment_roberta
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# crisis_sentiment_roberta

This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
It achieves the following results on the testing set:
- Accuracy: 0.83
- Macro accuracy: 0.76
- Weighted accuracy: 0.83

## Model description
0. Negative 
1. Positive
2. Neutral

Sentiment classification using 9,300 tweets of the Flint Water Crisis 

## 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
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4781        | 1.0   | 349  | 0.4452          | 0.8366   |
| 0.2074        | 2.0   | 698  | 0.5010          | 0.8237   |
| 0.047         | 3.0   | 1047 | 0.5772          | 0.8199   |
| 0.0114        | 4.0   | 1396 | 0.7793          | 0.8226   |
| 0.007         | 5.0   | 1745 | 0.8584          | 0.8188   |
| 0.0144        | 6.0   | 2094 | 0.9517          | 0.8070   |
| 0.0017        | 7.0   | 2443 | 1.0054          | 0.8231   |
| 0.0013        | 8.0   | 2792 | 1.1297          | 0.8172   |
| 0.0008        | 9.0   | 3141 | 1.1622          | 0.8263   |
| 0.001         | 10.0  | 3490 | 1.2313          | 0.8204   |
| 0.0006        | 11.0  | 3839 | 1.2360          | 0.8220   |
| 0.0007        | 12.0  | 4188 | 1.2687          | 0.8161   |
| 0.0004        | 13.0  | 4537 | 1.2940          | 0.8204   |
| 0.0451        | 14.0  | 4886 | 1.3163          | 0.8194   |
| 0.0004        | 15.0  | 5235 | 1.2991          | 0.8242   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.13.0.dev20220917+cu117
- Datasets 2.4.0
- Tokenizers 0.12.1