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my_awesome_wnut_all_Time
gonzalezrostani/my_awesome_wnut_all_Time
my_awesome_wnut_all_Time is a token classification model from gonzalezrostani. 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
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- fdd31cd0
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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_all_Time
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0309
- Precision: 0.5521
- Recall: 0.6081
- F1: 0.5788
- Accuracy: 0.9887
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 251 | 0.0306 | 0.4948 | 0.6486 | 0.5614 | 0.9874 |
| 0.0435 | 2.0 | 502 | 0.0277 | 0.5752 | 0.5946 | 0.5847 | 0.9893 |
| 0.0435 | 3.0 | 753 | 0.0284 | 0.5602 | 0.6284 | 0.5924 | 0.9888 |
| 0.0161 | 4.0 | 1004 | 0.0309 | 0.5521 | 0.6081 | 0.5788 | 0.9887 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024