README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - thaiqa_squad
model-index:
  - name: wangchanberta-base-att-spm-uncased-finetuned-th-squad
    results: []

wangchanberta-base-att-spm-uncased-finetuned-th-squad

This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the thaiqa_squad dataset.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.13.0
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3

widget:

• text: "Is this review positive or negative? Review: Best cast iron skillet you will every buy." example_title: "Sentiment analysis"
• text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..." example_title: "Coreference resolution"
• text: "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book ..." example_title: "Logic puzzles"
• text: "The two men running to become New York City's next mayor will face off in their first debate Wednesday night ..." example_title: "Reading comprehension"