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speech_representations_asr – AI Model by federicocosta1989 | AlphaNeural AI
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federicocosta1989
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speech_representations_asr
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transformers
tensorboard
safetensors
hubert
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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speech_representations_asr
This model is a fine-tuned version of
federicocosta1989/hubert_ca
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.7772
Wer: 1.0
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 5
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
16.8356
5.0
10
12.1508
1.0
6.3514
10.0
20
5.3859
1.0
4.0009
15.0
30
4.0669
1.0
4.36
20.0
40
3.7772
1.0
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
