T5based-keywords-to-sentence

This model is a fine-tuned version of mrm8488/t5-base-finetuned-common_gen on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9899
• Bleu: 10.4024
• Gen Len: 13.6946

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.8272	1.0	2106	1.9899	10.4024	13.6946

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.2+cu118
• Datasets 2.18.0
• Tokenizers 0.15.1