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twitch-bert-base-cased-finetuned
veb/twitch-bert-base-cased-finetuned
twitch-bert-base-cased-finetuned is a text classification model from veb. Use it when you need a label for a piece of text. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 22, 2022
- Updated
- Jun 26, 2022
- SHA
- ac7a5ae4
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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. -->
veb/twitch-bert-base-cased-finetuned
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0952
- Train Sparse Categorical Accuracy: 0.9647
- Validation Loss: 0.0359
- Validation Sparse Categorical Accuracy: 0.9881
- 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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|
| 0.2938 | 0.8775 | 0.1106 | 0.9602 | 0 |
| 0.1404 | 0.9514 | 0.1508 | 0.9523 | 1 |
| 0.0952 | 0.9647 | 0.0359 | 0.9881 | 2 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.6.4
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 22, 2022
- Updated
- Jun 26, 2022