bart-base-finetuned-poems

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: 3.1970
• eval_rouge1: 16.9107
• eval_rouge2: 8.1464
• eval_rougeL: 16.5554
• eval_rougeLsum: 16.7396
• eval_runtime: 487.5616
• eval_samples_per_second: 0.41
• eval_steps_per_second: 0.051
• epoch: 2.0
• step: 200

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: 5.6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1
• Datasets 2.7.1
• Tokenizers 0.13.2