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t5_squad

This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only.

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: 12
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

{ "epoch": 3.0, "eval_exact_match": 70.06622516556291, "eval_f1": 80.02993815400357, "eval_samples": 10659 }

Framework versions

• Transformers 4.20.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 1.18.4
• Tokenizers 0.11.6