multinews_cnn_logs

This model is a fine-tuned version of BeenaSamuel/t5_cnn_daily_mail_abstractive_summarizer_v2 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.8039
• eval_rouge1: 0.5189
• eval_rouge2: 0.1941
• eval_rougeL: 0.397
• eval_gen_len: 311.236
• eval_runtime: 1446.5993
• eval_samples_per_second: 3.886
• eval_steps_per_second: 0.486
• epoch: 4.84
• step: 3400

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2