cnn_news_summary_reduced

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

• eval_loss: 1.7174
• eval_rouge1: 0.2449
• eval_rouge2: 0.1201
• eval_rougeL: 0.2041
• eval_rougeLsum: 0.2043
• eval_gen_len: 19.0
• eval_runtime: 168.435
• eval_samples_per_second: 15.876
• eval_steps_per_second: 0.997
• epoch: 1.0
• step: 669

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: 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: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3