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tc_ro_chainsdel
syabusyabu0141/tc_ro_chainsdel
tc_ro_chainsdel is a token classification model from syabusyabu0141. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023
- SHA
- 71040923
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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 Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
syabusyabu0141/tc_ro_chainsdel
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0356
- Validation Loss: 0.0373
- 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': 'AdamWeightDecay', 'learning_rate': 1e-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 | Validation Loss | Epoch |
|---|---|---|
| 0.0686 | 0.0416 | 0 |
| 0.0356 | 0.0373 | 1 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.14.7
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023