my_awesome_billsum_model

This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.7927
• eval_rouge1: 0.1895
• eval_rouge2: 0.0969
• eval_rougeL: 0.1641
• eval_rougeLsum: 0.1692
• eval_gen_len: 20.0
• eval_runtime: 47.5253
• eval_samples_per_second: 5.218
• eval_steps_per_second: 1.052
• epoch: 2.0
• step: 396

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: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0