whisper_sft_de – AI Model by Jamin20 | AlphaNeural AI

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Jamin20/
whisper_sft_de

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_11_0

endpoints_compatible

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whisper_sft_de

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1840
Wer: 28.6081

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: 8
eval_batch_size: 8
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: 10000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2232	0.08	1000	0.2541	70.0448
0.2266	0.16	2000	0.2393	40.9830
0.22	0.24	3000	0.2278	42.1428
0.2105	0.32	4000	0.2184	41.9078
0.2108	0.4	5000	0.2090	38.9711
0.1869	0.48	6000	0.2034	28.8377
0.161	0.56	7000	0.1974	25.5598
0.1667	0.64	8000	0.1911	27.8122
0.1891	0.72	9000	0.1860	28.4944
0.1917	0.8	10000	0.1840	28.6081

Framework versions

Transformers 4.28.0.dev0
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.13.3