device

This model is a fine-tuned version of pszemraj/led-base-book-summary on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3904
• eval_rouge1: 0.7978
• eval_rouge2: 0.6772
• eval_rougeL: 0.7545
• eval_rougeLsum: 0.7544
• eval_gen_len: 66.6569
• eval_runtime: 455.2333
• eval_samples_per_second: 2.408
• eval_steps_per_second: 0.301
• epoch: 7.0
• step: 3836

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 8
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.57.0
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1