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wav2GPT2MusicfreezeL5E2 – AI Model by nacielo | AlphaNeural AI
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wav2GPT2MusicfreezeL5E2
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transformers
pytorch
tensorboard
speech-encoder-decoder
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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wav2GPT2MusicfreezeL5E2
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2063
Rouge1: 17.1779
Rouge2: 5.8671
Rougel: 12.3251
Rougelsum: 12.3665
Gen Len: 99.0
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.6363
1.0
1361
2.3060
15.2702
4.9763
11.5209
11.525
97.13
2.3894
2.0
2722
2.2063
17.1779
5.8671
12.3251
12.3665
99.0
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3
