vi-finetuned-squad-qa-minilmv2-8

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

vi-finetuned-squad-qa-minilmv2-8

This model is a fine-tuned version of subhasisj/vi-TAPT-MLM-MiniLM on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3335

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.2
• Datasets 2.0.0
• Tokenizers 0.11.0