my_awesome_billsum_model

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: 10.3881
• eval_runtime: 4.3575
• eval_samples_per_second: 11.934
• eval_steps_per_second: 11.934
• epoch: 1.0
• step: 204

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: 0.00036271229920441326
• train_batch_size: 1
• eval_batch_size: 1
• seed: 23
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2