whisper-large-ar5 – AI Model by whitefox123 | AlphaNeural AI

You can deploy this model and start earning money today!

whitefox123/
whisper-large-ar5

like

0

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

whitefox123/tashkeel

openai/whisper-large-v3

endpoints_compatible

Views

No views yet

Whisper large - tuned

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

Loss: 0.1992
Wer: 156.8649

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: 16
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: 9375
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0864	1.6	1000	0.1155	165.5135
0.0291	3.2	2000	0.1192	268.0360
0.0196	4.8	3000	0.1317	217.9820
0.0024	6.4	4000	0.1583	136.1802
0.0012	8.0	5000	0.1708	136.3604
0.0004	9.6	6000	0.1841	128.7207
0.0009	11.2	7000	0.1831	169.8739
0.0003	12.8	8000	0.1885	158.7387
0.0001	14.4	9000	0.1992	156.8649

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.17.0
Tokenizers 0.15.2