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quote-model-BERTm-v1
Iceland/quote-model-BERTm-v1
quote-model-BERTm-v1 is a token classification model from Iceland. 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
- bert
- Access
- Public
- Created
- Sep 5, 2023
- Updated
- Sep 5, 2023
- SHA
- f5f56f64
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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. -->
quote-model-BERTm-v1
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2151
- Precision: 0.8161
- Recall: 0.9262
- F1: 0.8676
- Accuracy: 0.9314
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3211 | 1.0 | 976 | 0.2253 | 0.8120 | 0.9191 | 0.8622 | 0.9295 |
| 0.186 | 2.0 | 1952 | 0.2257 | 0.8122 | 0.9265 | 0.8656 | 0.9303 |
| 0.1573 | 3.0 | 2928 | 0.2151 | 0.8161 | 0.9262 | 0.8676 | 0.9314 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 5, 2023
- Updated
- Sep 5, 2023