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hubert-large-timit-ft – AI Model by nh0znoisung | AlphaNeural AI
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nh0znoisung
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hubert-large-timit-ft
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transformers
safetensors
hubert
automatic-speech-recognition
generated_from_trainer
facebook/hubert-large-ls960-ft
finetune
apache-2.0
endpoints_compatible
us
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hubert-large-timit-ft
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: 24.5101
Wer: 0.6804
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
68.4493
0.6192
500
52.8444
0.9256
41.8552
1.2378
1000
38.5239
0.9110
35.106
1.8570
1500
30.3103
0.7391
32.154
2.4755
2000
24.5101
0.6804
Framework versions
Transformers 4.51.3
Pytorch 2.2.1
Datasets 3.6.0
Tokenizers 0.21.1
