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Makkoen/
whisper-large-v3-cit-do01-wd0-lr3e-06-steps1200-FULL5

Name: whisper-large-v3-cit-do01-wd0-lr3e-06-steps1200-FULL5
Availability: InStock

automatic-speech-recognition

generated_from_trainer

openai/whisper-large-v3

finetune

apache-2.0

endpoints_compatible

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./7326

This model is a fine-tuned version of openai/whisper-large-v3 on the 7326 FULL-2024-10-24 dataset. It achieves the following results on the evaluation set:

Loss: 0.3926
Wer Ortho: 22.5695
Wer: 15.5891

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: 3e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
training_steps: 1200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.6853	0.4851	200	0.4600	25.9249	18.6707
0.5251	0.9703	400	0.4211	24.1878	17.0180
0.4314	1.4554	600	0.4028	23.3234	16.1387
0.4047	1.9406	800	0.3950	23.0530	16.0798
0.361	2.4257	1000	0.3948	23.0407	15.9424
0.3441	2.9109	1200	0.3926	22.5695	15.5891

Framework versions

Transformers 4.45.1
Pytorch 1.13.1+cu117
Datasets 3.0.1
Tokenizers 0.20.0

Makkoen/whisper-large-v3-cit-do01-wd0-lr3e-06-steps1200-FULL5

./7326

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Makkoen/
whisper-large-v3-cit-do01-wd0-lr3e-06-steps1200-FULL5