t5-small-finetuned-text-simplification

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

• eval_loss: 4.9058
• eval_sari: 57.2104
• eval_runtime: 907.1945
• eval_samples_per_second: 80.742
• eval_steps_per_second: 5.047
• epoch: 3.0
• step: 70089

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2