diff_model / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - mlqa
model-index:
  - name: diff_model
    results: []

diff_model

This model is a fine-tuned version of huggingface-course/bert-finetuned-squad on the mlqa dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1014

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: 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

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 355 0.8941
0.931 2.0 710 0.9768
0.4794 3.0 1065 1.1014

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.0
  • Tokenizers 0.13.3