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luigimontaleone/
whisper-medium-ft-easycall-v2-disordersvoice-mixed

Name: whisper-medium-ft-easycall-v2-disordersvoice-mixed
Availability: InStock

peft

safetensors

generated_from_trainer

easycall-v2-disordersvoice

openai/whisper-medium

adapter

apache-2.0

model-index

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Whisper Medium

This model is a fine-tuned version of openai/whisper-medium on the easycall-v2-disordersvoice dataset. It achieves the following results on the evaluation set:

Loss: 0.2372
Wer: 18.9591

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	151	0.3071	39.0335
No log	2.0	302	0.2418	20.0743
No log	3.0	453	0.2288	18.0917
0.3944	4.0	604	0.2240	19.0830
0.3944	5.0	755	0.2298	17.5960
0.3944	6.0	906	0.2339	18.8352
0.0257	7.0	1057	0.2372	18.9591

Framework versions

PEFT 0.14.0
Transformers 4.48.1
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.21.0

luigimontaleone/whisper-medium-ft-easycall-v2-disordersvoice-mixed

Whisper Medium

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

luigimontaleone/
whisper-medium-ft-easycall-v2-disordersvoice-mixed