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tw-sentiment-finetuned
Amitesh007/tw-sentiment-finetuned
tw-sentiment-finetuned is a text classification model from Amitesh007. 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.
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
- distilbert
- Access
- Public
- Created
- Jan 24, 2023
- Updated
- Mar 16, 2023
- SHA
- 0b0aefaa
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
tw-sentiment-finetuned
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2039
- Train Accuracy: 0.9171
- Validation Loss: 0.4805
- Validation Accuracy: 0.8237
- Epoch: 2
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.4620 | 0.7977 | 0.3893 | 0.8332 | 0 |
| 0.3238 | 0.8596 | 0.4674 | 0.8362 | 1 |
| 0.2039 | 0.9171 | 0.4805 | 0.8237 | 2 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 24, 2023
- Updated
- Mar 16, 2023