README.md

metadata

license: mit
base_model: TankuVie/mDeberta_Fine_tuned_QA_v1
tags:
  - generated_from_trainer
model-index:
  - name: mDeberta_Fine_tuned_QA_v1
    results: []

mDeberta_Fine_tuned_QA_v1

This model is a fine-tuned version of TankuVie/mDeberta_Fine_tuned_QA_v1 on the None 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: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1