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MP_TAPEX_finetuned
DeltaChocolate/MP_TAPEX_finetuned
MP_TAPEX_finetuned is a table question answering model from DeltaChocolate. Use it for the table question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Table Question Answering
- Library
- transformers
- Model type
- bart
- Access
- Public
- Created
- Sep 19, 2024
- Updated
- Sep 19, 2024
- SHA
- bfbde451
Try a prompt
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. -->
results
This model was trained from microsoft tapex wtq on a private dataset. It achieves the following results on the evaluation set:
- Loss: 3.2845
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: 1.271005878194929e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 7
- num_epochs: 5
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Table Question Answering
- Library
- transformers
- Type
- bart
- Created
- Sep 19, 2024
- Updated
- Sep 19, 2024