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Horovod_Tweet_Sentiment_10k_5eps
joe5campbell/Horovod_Tweet_Sentiment_10k_5eps
Horovod_Tweet_Sentiment_10k_5eps is a text classification model from joe5campbell. 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
- bert
- Access
- Public
- Created
- Mar 16, 2022
- Updated
- Mar 23, 2022
- SHA
- ed08b361
Try a prompt
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. -->
Horovod_Tweet_Sentiment_10k_5eps
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7210579
- Train Accuracy: 0.5
- Validation Loss: 0.6863412
- Validation Accuracy: 0.54062504
- Epoch: 1
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': 'Adam', 'clipnorm': 1.0, 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.7117643 | 0.4796875 | 0.7163932 | 0.459375 | 0 |
| 0.7210579 | 0.5 | 0.6863412 | 0.54062504 | 1 |
Framework versions
- Transformers 4.17.0
- TensorFlow 2.6.0
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 16, 2022
- Updated
- Mar 23, 2022