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whisper-medium-ta-ml-mr – AI Model by sujith013 | AlphaNeural AI
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sujith013
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whisper-medium-ta-ml-mr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ta
ml
mr
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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./whisper-medium-ta-ml-mr
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2180
Wer: 58.0938
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0709
2.0
100
0.2180
58.0938
Framework versions
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1
