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sentiment_analysis
gr8testgad-1/sentiment_analysis
sentiment_analysis is a text classification model from gr8testgad-1. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 6, 2023
- Updated
- Sep 17, 2023
- SHA
- 8416fa11
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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_analysis
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7361
- F1 Score: 0.6962
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|---|---|---|---|---|
| 0.75 | 1.0 | 1000 | 0.7762 | 0.6905 |
| 0.643 | 2.0 | 2000 | 0.7361 | 0.6962 |
| 0.5957 | 3.0 | 3000 | 0.7617 | 0.7137 |
| 0.5278 | 4.0 | 4000 | 0.7386 | 0.7385 |
| 0.4298 | 5.0 | 5000 | 0.8896 | 0.7370 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 6, 2023
- Updated
- Sep 17, 2023