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piyushmaharana/
outcomes-whisper-tiny-v1.2

Name: outcomes-whisper-tiny-v1.2
Availability: InStock

tensorboard

safetensors

whisper

generated_from_trainer

ray-outcomes-ai/big-transcript-pronounce

piyushmaharana/outcomes-whisper-tiny-v1.1

finetune

apache-2.0

model-index

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OutcomesAI-Whisper-tiny-v1.2

This model is a fine-tuned version of piyushmaharana/outcomes-whisper-tiny-v1.1 on the big-transcript-pronounce dataset. It achieves the following results on the evaluation set:

Loss: 0.0256
Wer: 1.7139

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.112	2.1645	500	0.0645	5.5784
0.013	4.3290	1000	0.0310	2.3237
0.0032	6.4935	1500	0.0264	1.7798
0.0012	8.6580	2000	0.0260	1.7304
0.0007	10.8225	2500	0.0257	1.7963
0.0006	12.9870	3000	0.0256	1.7139

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

piyushmaharana/outcomes-whisper-tiny-v1.2

OutcomesAI-Whisper-tiny-v1.2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

piyushmaharana/
outcomes-whisper-tiny-v1.2