pretrained_bert_scratch-finetuned-squad

This model is a fine-tuned version of ayushmodi12/pretrained_bert_scratch on the squad_v2 dataset. It achieves the following results on the evaluation set:

• eval_loss: 5.9506
• eval_runtime: 267.5806
• eval_samples_per_second: 45.347
• eval_steps_per_second: 2.837
• epoch: 1.0
• step: 8235

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: 2

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0