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Makkoen/
whisper-large-v3-cit-do01-wd0-lr5e-06-steps1600-FULL6

Name: whisper-large-v3-cit-do01-wd0-lr5e-06-steps1600-FULL6
Availability: InStock

automatic-speech-recognition

generated_from_trainer

openai/whisper-large-v3

finetune

apache-2.0

endpoints_compatible

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FULL6

This model is a fine-tuned version of openai/whisper-large-v3 on the 9712 FULL-2024-10-24 dataset. It achieves the following results on the evaluation set:

Loss: 0.3645
Wer Ortho: 20.3644
Wer: 14.6990

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: 5e-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: 1600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.6529	0.3661	200	0.4500	25.1823	18.8290
0.5129	0.7323	400	0.4050	22.7643	16.5316
0.4413	1.0984	600	0.3850	22.1197	16.4532
0.3677	1.4645	800	0.3770	21.8382	15.6719
0.3614	1.8307	1000	0.3691	21.0786	15.2740
0.3297	2.1968	1200	0.3696	20.9031	15.1201
0.2872	2.5629	1400	0.3660	20.5248	14.8442
0.2849	2.9291	1600	0.3645	20.3644	14.6990

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-lr5e-06-steps1600-FULL6

FULL6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Makkoen/
whisper-large-v3-cit-do01-wd0-lr5e-06-steps1600-FULL6