htermotto/albert-base-v2-finetuned-squad-seed-1024

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albert-base-v2-finetuned-squad-seed-1024

This model is a fine-tuned version of albert-base-v2 on the squad_v2 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9736

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.24.0
• —Pytorch 1.12.1+cu113
• —Datasets 2.7.0
• —Tokenizers 0.13.2