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