LED-dialog-sum – AI Model by NazzX1 | AlphaNeural AI

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NazzX1/
LED-dialog-sum

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MingZhong/DialogLED-base-16384

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LED-dialog-sum

This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7399
Rouge1: 0.3862
Rouge2: 0.2783
Rougel: 0.2541

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
4.4889	1.0	800	3.2528	0.3814	0.2739	0.2511
3.0117	2.0	1600	2.7399	0.3862	0.2783	0.2541

Framework versions

PEFT 0.14.0
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1