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sgangireddy/
whisper-medium-cv-fi-3k

Name: whisper-medium-cv-fi-3k
Availability: InStock

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_11_0

apache-2.0

model-index

endpoints_compatible

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Whisper medium Finnish CV 4K

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 fi dataset. It achieves the following results on the evaluation set:

Loss: 0.3412
Wer: 15.7369

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: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0014	19.0	1000	0.3029	16.3117
0.0002	38.01	2000	0.3412	15.7369
0.0001	57.01	3000	0.3592	15.8783
0.0001	76.01	4000	0.3655	15.8594

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

sgangireddy/whisper-medium-cv-fi-3k

Whisper medium Finnish CV 4K

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sgangireddy/
whisper-medium-cv-fi-3k