flan-t5-large-finetuned-openai-summarize_from_feedback

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flan-t5-large-finetuned-openai-summarize_from_feedback

This model is a fine-tuned version of google/flan-t5-large on the summarize_from_feedback dataset. It achieves the following results on the evaluation set:

• Loss: 2.3118
• Rouge1: 30.2401
• Rouge2: 11.4916
• Rougel: 24.6485
• Rougelsum: 26.1801
• Gen Len: 18.8428

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Training results

See Tensorboard

Citation

@misc {manuel_romero_2023,
	author       = { {Manuel Romero} },
	title        = { flan-t5-large-finetuned-openai-summarize_from_feedback (Revision 51666f9) },
	year         = 2023,
	url          = { https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback },
	doi          = { 10.57967/hf/0266 },
	publisher    = { Hugging Face }
}

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2