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kiranpantha/
whisper-large-v3-nepali-peft-lora-speaker1-rank1-targetxcqv-epochs10

Name: whisper-large-v3-nepali-peft-lora-speaker1-rank1-targetxcqv-epochs10
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

kiranpantha/OpenSLR54-Balanced-Nepali

kiranpantha/whisper-large-v3-nepali

adapter

apache-2.0

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kiranpantha/whisper-large-v3-nepali

This model is a fine-tuned version of kiranpantha/whisper-large-v3-nepali on the OpenSLR54 dataset. It achieves the following results on the evaluation set:

Loss: 0.3962

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: 10
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	14	0.6609
0.7154	2.0	28	0.3891
0.7154	3.0	42	0.3543
0.1387	4.0	56	0.3768
0.1387	5.0	70	0.3557
0.0933	6.0	84	0.3673
0.0933	7.0	98	0.3607
0.0228	8.0	112	0.3853
0.0105	9.0	126	0.3907
0.0105	10.0	140	0.3962

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cxx11.abi
Datasets 3.2.0
Tokenizers 0.21.0

kiranpantha/whisper-large-v3-nepali-peft-lora-speaker1-rank1-targetxcqv-epochs10

kiranpantha/whisper-large-v3-nepali

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kiranpantha/
whisper-large-v3-nepali-peft-lora-speaker1-rank1-targetxcqv-epochs10