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MP_TAPEX_finetuned – AI Model by DeltaChocolate | AlphaNeural AI

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DeltaChocolate/
MP_TAPEX_finetuned

like

0

text2text-generation

generated_from_trainer

table-question-answering

microsoft/tapex-base-finetuned-wtq

endpoints_compatible

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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