Downloads · 30 days
9
15% of all-time downloads
tc_ro_chains
syabusyabu0141/tc_ro_chains
tc_ro_chains 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. --
All-time downloads
59
Public
Repo size
4.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h5497 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 19, 2023
- Updated
- Nov 1, 2023
- SHA
- 97adf02d
Try a prompt
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/test3
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: 0.0502
- Validation Loss: 0.0308
- Epoch: 0
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 |
|---|---|---|
| 0.0502 | 0.0308 | 0 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Oct 19, 2023
- Updated
- Nov 1, 2023