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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - eli5_cleaned_datav3_60k
model-index:
  - name: t5-base-end2end-questions-generation_eli_aug_squad
    results: []

t5-base-end2end-questions-generation_eli_aug_squad

This model is a fine-tuned version of t5-base on the eli5_cleaned_datav3_60k dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3334

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.7135 0.26 100 2.4710
2.2744 0.51 200 2.4154
2.1936 0.77 300 2.3894
2.1313 1.03 400 2.3738
2.0684 1.28 500 2.3643
2.0603 1.54 600 2.3511
2.0437 1.8 700 2.3461
2.0114 2.06 800 2.3412
1.9976 2.31 900 2.3381
1.9883 2.57 1000 2.3349
1.9869 2.83 1100 2.3334

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3