output – AI Model by Solo009 | AlphaNeural AI

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Solo009/
output

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automatic-speech-recognition

generated_from_trainer

facebook/hubert-large-ls960-ft

endpoints_compatible

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output

This model is a fine-tuned version of facebook/hubert-large-ls960-ft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.3931
Wer: 1.0
Cer: 0.9944

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 5
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
7.136	0.3279	20	3.5020	1.0	0.9944
3.4969	0.6557	40	3.4605	1.0	0.9944
3.4509	0.9836	60	3.4172	1.0	0.9944
3.4449	1.3115	80	3.4042	1.0	0.9944
3.4074	1.6393	100	3.3931	1.0	0.9944
3.4072	1.9672	120	3.3931	1.0	0.9944

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0