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sentiment-guesser
eddyjin/sentiment-guesser
sentiment-guesser is a text classification model from eddyjin. 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
- bert
- Access
- Public
- Created
- Mar 18, 2024
- Updated
- Mar 18, 2024
- SHA
- ae64f38a
Try a prompt
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-guesser
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3734
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 |
|---|---|---|---|
| 0.2921 | 1.0 | 3125 | 0.2793 |
| 0.2303 | 2.0 | 6250 | 0.2741 |
| 0.1488 | 3.0 | 9375 | 0.3239 |
| 0.0802 | 4.0 | 12500 | 0.3506 |
| 0.0494 | 5.0 | 15625 | 0.3734 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.4.0.dev20240317
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 18, 2024
- Updated
- Mar 18, 2024