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ATE
KanWasTaken/ATE
ATE is a token classification model from KanWasTaken. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 15, 2025
- Updated
- Feb 15, 2025
- SHA
- 2e85f4a8
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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 the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ATE
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2645
- F1-score: 0.8113
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:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.2839 | 1.0 | 226 | 0.2148 | 0.7160 |
| 0.1153 | 2.0 | 452 | 0.1899 | 0.7830 |
| 0.0677 | 3.0 | 678 | 0.1942 | 0.8008 |
| 0.0456 | 4.0 | 904 | 0.2249 | 0.8012 |
| 0.0393 | 5.0 | 1130 | 0.2361 | 0.8077 |
| 0.027 | 6.0 | 1356 | 0.2455 | 0.8120 |
| 0.0226 | 7.0 | 1582 | 0.2486 | 0.8068 |
| 0.0198 | 8.0 | 1808 | 0.2602 | 0.8156 |
| 0.0171 | 9.0 | 2034 | 0.2640 | 0.8155 |
| 0.0161 | 10.0 | 2260 | 0.2645 | 0.8113 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 15, 2025
- Updated
- Feb 15, 2025