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whisper-small-ta-fyp – AI Model by yaygomii | AlphaNeural AI

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yaygomii/
whisper-small-ta-fyp

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automatic-speech-recognition

generated_from_trainer

common_voice_6_1

openai/whisper-small

endpoints_compatible

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whisper-small-ta-fyp

This model is a fine-tuned version of openai/whisper-small on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5417
eval_wer: 65.8901
eval_runtime: 1043.495
eval_samples_per_second: 1.707
eval_steps_per_second: 0.214
epoch: 10.55
step: 2500

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2