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gencgeray/
whisper-large-v3

Name: whisper-large-v3
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

mozilla-foundation/common_voice_11_0

openai/whisper-large-v3

adapter

apache-2.0

model-index

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whisper-large-v3-LORA-uk

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2198
Wer: 32.3224
Cer: 11.7944

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 500
training_steps: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.3078	0.4034	1000	0.2892	46.7412	17.3789
0.238	0.8068	2000	0.2869	47.2200	18.3277
0.1942	1.2102	3000	0.2419	44.1075	15.9300
0.1773	1.6136	4000	0.2262	30.5134	8.7628
0.0626	2.0169	5000	0.2192	34.1580	11.7469
0.0785	2.4203	6000	0.2198	32.3224	11.7944

Framework versions

PEFT 0.15.2.dev0
Transformers 4.53.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

gencgeray/whisper-large-v3

whisper-large-v3-LORA-uk

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gencgeray/
whisper-large-v3