| | --- |
| | 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 |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # 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 |
| |
|
