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ESGI_5IABD2_GBO_AFO_TD7
Elbub/ESGI_5IABD2_GBO_AFO_TD7
ESGI_5IABD2_GBO_AFO_TD7 is a token classification model from Elbub. 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
- Jan 12, 2025
- Updated
- Jan 22, 2025
- SHA
- 41d0b83e
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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. -->
my_awesome_wnut_model
This model is a fine-tuned version of distilbert/distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0007
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 1.0
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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 80 | 0.0101 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 2.0 | 160 | 0.0038 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 3.0 | 240 | 0.0022 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 4.0 | 320 | 0.0015 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 5.0 | 400 | 0.0012 | 0.0 | 0.0 | 0.0 | 1.0 |
| No log | 6.0 | 480 | 0.0010 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0219 | 7.0 | 560 | 0.0008 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0219 | 8.0 | 640 | 0.0007 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0219 | 9.0 | 720 | 0.0007 | 0.0 | 0.0 | 0.0 | 1.0 |
| 0.0219 | 10.0 | 800 | 0.0007 | 0.0 | 0.0 | 0.0 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cpu
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 12, 2025
- Updated
- Jan 22, 2025