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subh_whisper_small_distil_att_loss_mozilla_epochs_50_batch_8 – AI Model by rohitp1 | AlphaNeural AI
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rohitp1
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subh_whisper_small_distil_att_loss_mozilla_epochs_50_batch_8
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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subh_whisper_small_distil_att_loss_mozilla_epochs_50_batch_8
This model is a fine-tuned version of
rohitp1/dgx1_whisper_small_finetune_teacher_babble_noise_mozilla_40_epochs_batch_8
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5208
Wer: 100.0
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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 512
total_train_batch_size: 4096
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.1278
4.39
150
0.4135
100.0
4.6475
8.78
300
0.4516
100.0
5.5834
13.17
450
0.4801
100.0
6.7365
17.55
600
0.4981
100.0
7.3081
21.94
750
0.5108
100.0
7.4849
26.33
900
0.5208
100.0
Framework versions
Transformers 4.29.2
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
