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iec
mishtert/iec
iec is a token classification model from mishtert. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- layoutlmv2
- Access
- Public
- Created
- Jun 4, 2022
- Updated
- Jun 4, 2022
- SHA
- aca6fe12
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Datasets
Spaces
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. -->
layoutlmv2-finetuned-funsd
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the funsd dataset.
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: 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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.9.0.dev0
- Pytorch 1.8.0+cu101
- Datasets 1.9.0
- Tokenizers 0.10.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv2
- License
- cc-by-sa-4.0
- Created
- Jun 4, 2022
- Updated
- Jun 4, 2022