hubert2BertMusicwithNewS – AI Model by nacielo | AlphaNeural AI

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nacielo/
hubert2BertMusicwithNewS

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speech-encoder-decoder

automatic-speech-recognition

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endpoints_compatible

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hubert2BertMusicwithNewS

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

Loss: 3.4294
Rouge1: 26.8823
Rouge2: 7.1505
Rougel: 19.9459
Rougelsum: 19.9017
Gen Len: 37.3

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
4.5416	1.0	1361	3.9241	29.9096	8.607	22.4101	22.3886	49.94
3.8456	2.0	2722	3.5256	28.5203	7.5218	20.9604	20.8949	36.84
3.6709	3.0	4083	3.4294	26.8823	7.1505	19.9459	19.9017	37.3

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3