dialogsum_model_pegasus – AI Model by tanjinadnanabir | AlphaNeural AI

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tanjinadnanabir/
dialogsum_model_pegasus

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google/pegasus-xsum

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dialogsum_model_pegasus

This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6493
Rouge1: 0.4119
Rouge2: 0.1946
Rougel: 0.3503
Rougelsum: 0.3498
Bleu: 0.0765
Bertscore F1: 0.9075

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Bertscore F1
1.836	1.0	3683	1.6492	0.4119	0.1946	0.3503	0.3498	0.0765	0.9075
1.8213	2.0	7366	1.6493	0.4119	0.1946	0.3503	0.3498	0.0765	0.9075
1.8193	3.0	11049	1.6493	0.4119	0.1946	0.3503	0.3498	0.0765	0.9075

Framework versions

PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1