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event-extraction-tagger
Kaze-droid/event-extraction-tagger
event-extraction-tagger is a machine learning model from Kaze-droid. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Aug 9, 2024
- Updated
- Aug 13, 2024
- SHA
- 7b57b6b9
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. -->
event-extraction-tagger
This model was finetuned on Wikipedia's current events portal
Model description
Extracts events mentioned in text by framing it as a token classification task with labels B-event, I-event and O
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: 5e-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: 3.0
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- bert
- Created
- Aug 9, 2024
- Updated
- Aug 13, 2024