sum_model

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.3716
• eval_rouge1: 0.1884
• eval_rouge2: 0.0617
• eval_rougeL: 0.1504
• eval_rougeLsum: 0.1505
• eval_gen_len: 18.8567
• eval_runtime: 68.4902
• eval_samples_per_second: 21.901
• eval_steps_per_second: 1.095
• epoch: 2.0
• step: 2142

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: 20
• eval_batch_size: 20
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2