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khushi1234455687/
whisper-large-v3-turbo-Assamese-Version1

Name: whisper-large-v3-turbo-Assamese-Version1
Availability: InStock

transformers

tensorboard

safetensors

generated_from_trainer

automatic-speech-recognition

common_voice_17_0

openai/whisper-large-v3-turbo

finetune

apache-2.0

endpoints_compatible

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whisper-large-v3-turbo-Assamese-Version1

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4733
Wer: 75.9476

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 20000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3852	13.6054	2000	0.4924	81.8057
0.2987	27.2109	4000	0.4458	78.3598
0.2546	40.8163	6000	0.4319	77.4408
0.216	54.4218	8000	0.4374	75.6949
0.1951	68.0272	10000	0.4446	76.5909
0.1696	81.6327	12000	0.4530	75.6030
0.1553	95.2381	14000	0.4612	74.7760
0.1533	108.8435	16000	0.4687	75.0057
0.1455	122.4490	18000	0.4710	75.9246
0.1405	136.0544	20000	0.4733	75.9476

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

khushi1234455687/whisper-large-v3-turbo-Assamese-Version1

whisper-large-v3-turbo-Assamese-Version1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

khushi1234455687/
whisper-large-v3-turbo-Assamese-Version1