finetuned_bart_for_titlekeygen_custom

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finetuned_bart_for_titlekeygen_custom

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

• Loss: 4.9518
• Rouge1: 27.1931
• Rouge2: 17.9025
• Rougel: 27.0914
• Rougelsum: 27.5983
• Gen Len: 10.4444

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1