flan-t5-base-finetuned-opus_books-en-to-no-test

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

  • eval_loss: 3.3140
  • eval_bleu: 3.6909
  • eval_gen_len: 17.9657
  • eval_runtime: 65.0133
  • eval_samples_per_second: 5.384
  • eval_steps_per_second: 2.692
  • epoch: 155.0
  • step: 244125

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 200

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.3.2
  • Tokenizers 0.10.3
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Dataset used to train thivy/flan-t5-base-finetuned-opus_books-en-to-no-test