bart-base-finetuned

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.8173
• eval_rouge1: 47.6529
• eval_rouge2: 30.9754
• eval_rougeL: 44.3686
• eval_rougeLsum: 44.4155
• eval_gen_len: 18.2806
• eval_runtime: 75.385
• eval_samples_per_second: 21.224
• eval_steps_per_second: 1.327
• epoch: 7.0
• step: 2800

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.1
• Pytorch 1.13.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1