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INDUS-finetuned-ner
Loki107/INDUS-finetuned-ner
INDUS-finetuned-ner is a token classification model from Loki107. 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
- roberta
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 16, 2024
- SHA
- 24fb590e
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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. -->
INDUS-finetuned-ner
This model is a fine-tuned version of nasa-impact/nasa-smd-ibm-v0.1 on the ibm/Climate-Change-NER dataset. It achieves the following results on the evaluation set:
- Loss: 0.7600
- Precision: 0.1949
- Recall: 0.1477
- F1: 0.1681
- Accuracy: 0.8287
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 47 | 0.8679 | 0.0 | 0.0 | 0.0 | 0.7997 |
| No log | 2.0 | 94 | 0.7882 | 0.1619 | 0.1006 | 0.1241 | 0.8233 |
| No log | 3.0 | 141 | 0.7600 | 0.1949 | 0.1477 | 0.1681 | 0.8287 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jul 15, 2024
- Updated
- Jul 16, 2024