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sentiment_bert_twitter_airlines_10
pachequinho/sentiment_bert_twitter_airlines_10
sentiment_bert_twitter_airlines_10 is a text classification model from pachequinho. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 29, 2023
- Updated
- Aug 29, 2023
- SHA
- ed5a362b
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
sentiment_bert_twitter_airlines_10
This model is a fine-tuned version of bert-base-cased on the pachequinho/twitter_airlines_pos_neg_small dataset with only 10% of the training data. It achieves the following results on the evaluation set:
- Loss: 0.0648
- Accuracy: 0.9831
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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 266 | 0.0926 | 0.9727 |
| 0.201 | 2.0 | 532 | 0.0648 | 0.9831 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 29, 2023
- Updated
- Aug 29, 2023