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matscibert-QA

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metadata
base_model: m3rg-iitd/matscibert
tags:
  - generated_from_trainer
  - 'base_model: m3rg-iitd/matscibert'
datasets:
  - squad
model-index:
  - name: matscibert-QA
    results: []

matscibert-QA

This is a just a soft demo and it aint working as intended yet This model is a fine-tuned version of m3rg-iitd/matscibert on the squad dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1091

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: 1

Training results

Training Loss Epoch Step Validation Loss
1.1571 1.0 5564 1.1091

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.1.0+cpu
  • Datasets 2.14.5
  • Tokenizers 0.14.1