summary-t5-base-50-epoch

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.5638
• eval_rouge1: 14.8727
• eval_rouge2: 7.2985
• eval_rougeL: 12.0653
• eval_rougeLsum: 13.605
• eval_gen_len: 19.0
• eval_runtime: 88.6491
• eval_samples_per_second: 3.553
• eval_steps_per_second: 1.184
• epoch: 38.0
• step: 35872

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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0