whisper-lora-641 – AI Model by Jeff13680 | AlphaNeural AI

You can deploy this model and start earning money today!

Jeff13680/
whisper-lora-641

like

0

openai/whisper-large-v3

Views

No views yet

whisper-lora-641

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3466

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: 50
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.4188	0.5674	10	1.3683
1.3084	1.1135	20	1.3669
1.3747	1.6809	30	1.3646
1.3357	2.2270	40	1.3638
1.3503	2.7943	50	1.3617
1.3659	3.3404	60	1.3597
1.3663	3.9078	70	1.3525
1.2646	4.4539	80	1.3499
1.3585	5.0	90	1.3466

Framework versions

PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.7.1+cu118
Datasets 3.1.0
Tokenizers 0.21.2