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finetune_teacher_noisy_mozilla_50_epochs_take-1 – AI Model by rohitp1 | AlphaNeural AI
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finetune_teacher_noisy_mozilla_50_epochs_take-1
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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finetune_teacher_noisy_mozilla_50_epochs_take-1
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: inf
Wer: 0.3771
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: 0.0005
train_batch_size: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
156.5412
10.31
1000
inf
0.4495
116.825
20.61
2000
inf
0.4151
88.1673
30.92
3000
inf
0.3941
65.9659
41.24
4000
inf
0.3771
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
