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output-small-id-yt-batch6-step2000-aug – AI Model by TheRains | AlphaNeural AI
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output-small-id-yt-batch6-step2000-aug
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
id
YT
apache-2.0
model-index
endpoints_compatible
us
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Whisper small ID - Augmented
This model is a fine-tuned version of
openai/whisper-small
on the YT dataset. It achieves the following results on the evaluation set:
Loss: 0.2957
Wer: 24.0697
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: 1e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.5857
0.52
500
0.4354
39.9358
0.385
1.03
1000
0.3511
31.3213
0.2967
1.55
1500
0.3075
25.8541
0.1548
2.06
2000
0.2957
24.0697
Framework versions
Transformers 4.29.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2
