t5-large-cnndm

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t5-large-cnndaily

This model is a fine-tuned version of t5-large-cnndaily/checkpoint-10318 on the jkorsvik/cnn_daily_mail_nor_final dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.8011
• eval_rouge1: 32.6372
• eval_rouge2: 12.4352
• eval_rougeL: 22.9598
• eval_rougeLsum: 30.3946
• eval_gen_len: 65.1487
• eval_runtime: 167.4595
• eval_samples_per_second: 21.205
• eval_steps_per_second: 0.167
• step: 11792

Model description

wandb logs: https://wandb.ai/navjordj/huggingface/runs/zrx32j09?workspace=user-navjordj

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: 4
• eval_batch_size: 32
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20.0

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1
• Datasets 2.10.1
• Tokenizers 0.13.2