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stt-1 – AI Model by simran14 | AlphaNeural AI

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simran14/
stt-1

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_17_0

openai/whisper-small

endpoints_compatible

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mr stt 1st finetuning

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5771
eval_wer: 25.9487
eval_runtime: 958.3173
eval_samples_per_second: 1.637
eval_steps_per_second: 0.206
epoch: 0.6098
step: 1000

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: 5e-07
train_batch_size: 8
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: 100
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.2.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1