podcast_summarizer – AI Model by Wick2025 | AlphaNeural AI

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Wick2025/
podcast_summarizer

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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podcast_summarizer

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1084
Rouge1: 0.1735
Rouge2: 0.0673
Rougel: 0.1411
Rougelsum: 0.1413
Gen Len: 18.9721

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	179	2.2171	0.1569	0.0555	0.1271	0.1276	18.9721
No log	2.0	358	2.1460	0.1653	0.0612	0.1346	0.1348	18.9721
2.3662	3.0	537	2.1163	0.1723	0.066	0.1398	0.1398	18.9721
2.3662	4.0	716	2.1084	0.1735	0.0673	0.1411	0.1413	18.9721

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Tokenizers 0.20.3