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finetune_teacher_clean_mozilla_100_epochs_try2 – AI Model by rohitp1 | AlphaNeural AI
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finetune_teacher_clean_mozilla_100_epochs_try2
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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finetune_teacher_clean_mozilla_100_epochs_try2
This model is a fine-tuned version of
finetune_teacher_clean_mozilla_200_epochs
on the None dataset. It achieves the following results on the evaluation set:
Loss: 55.2160
Wer: 0.2810
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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
42.7428
29.41
1000
48.0854
0.3160
45.9744
58.82
2000
50.4082
0.2936
30.0353
88.23
3000
55.2160
0.2810
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
