README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
base_model: jgammack/MTL-distilbert-base-uncased
model-index:
  - name: MTL-distilbert-base-uncased-squad
    results: []

MTL-distilbert-base-uncased-squad

This model is a fine-tuned version of jgammack/MTL-distilbert-base-uncased on the squad 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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0