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ZYW
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squad-mbert-model

Question Answering
Transformers
PyTorch
bert
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xet
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2
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("question-answering", model="ZYW/squad-mbert-model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering

tokenizer = AutoTokenizer.from_pretrained("ZYW/squad-mbert-model")
model = AutoModelForQuestionAnswering.from_pretrained("ZYW/squad-mbert-model")
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squad-mbert-model

This model was trained from scratch on an unkown 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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.6.1
  • Pytorch 1.8.1+cu101
  • Datasets 1.7.0
  • Tokenizers 0.10.3
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Evaluation results

Model card error

This model's model-index metadata is invalid: Schema validation error. "model-index[0].results" is required