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whisper-tiny-v2-ta_55 – AI Model by G-Rahul | AlphaNeural AI
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G-Rahul
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whisper-tiny-v2-ta_55
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-tiny-v2-ta_55
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3972
Wer: 62.1792
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: 1.5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6242
0.11
300
0.5519
52.0097
0.4507
0.21
600
0.4556
55.9806
0.3999
0.32
900
0.4148
65.0363
0.3635
0.42
1200
0.3972
62.1792
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.12.1
Datasets 2.11.0
Tokenizers 0.13.3
