logs

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

• eval_loss: 0.3006
• eval_rouge1: 0.5924
• eval_rouge2: 0.326
• eval_rougeL: 0.5425
• eval_gen_len: 82.8793
• eval_runtime: 174.5683
• eval_samples_per_second: 6.124
• eval_steps_per_second: 0.768
• epoch: 2.79
• step: 1000

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: 5

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.2