AshtonIsNotHere/albert-large-v2-spoken-squad

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albert-large-v2-spoken-squad

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

• —Exact Match: 66.7026
• —F1: 79.3491
• —Loss: 1.0481

Model description

Results on Spoken Squad Test Sets

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: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.24.0
• —Pytorch 1.13.1
• —Datasets 2.8.0
• —Tokenizers 0.11.0