metadata
library_name: transformers
license: mit
base_model: microsoft/tapex-base
tags:
- generated_from_trainer
- table-question-answering
model-index:
- name: results
results: []
results
This model is a fine-tuned version of microsoft/tapex-base on a private dataset. It achieves the following results on the evaluation set:
- Loss: 4.2378
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: 6.031524797816536e-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: 443
- num_epochs: 8
- 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