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distilbert-base
PabloGuinea/distilbert-base
distilbert-base is a token classification model from PabloGuinea. 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
- Jun 4, 2023
- Updated
- Jun 4, 2023
- SHA
- 97f111b9
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Datasets
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. -->
distilbert-base
This model is a fine-tuned version of distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2693
- Precision: 0.5251
- Recall: 0.3679
- F1: 0.4327
- Accuracy: 0.9451
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 107 | 0.3088 | 0.3506 | 0.1446 | 0.2047 | 0.9328 |
| No log | 2.0 | 214 | 0.2634 | 0.5403 | 0.3170 | 0.3995 | 0.9414 |
| No log | 3.0 | 321 | 0.2530 | 0.5282 | 0.3559 | 0.4252 | 0.9435 |
| No log | 4.0 | 428 | 0.2587 | 0.5206 | 0.3753 | 0.4362 | 0.9446 |
| 0.1695 | 5.0 | 535 | 0.2693 | 0.5251 | 0.3679 | 0.4327 | 0.9451 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 4, 2023
- Updated
- Jun 4, 2023