whisper-small-ar – AI Model by arbml | AlphaNeural AI

You can deploy this model and start earning money today!

arbml/
whisper-small-ar

like

0

automatic-speech-recognition

generated_from_trainer

hf-asr-leaderboard

endpoints_compatible

Views

No views yet

openai/whisper-small

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9750
Wer: 21.3693

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: 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
0.3559	0.1	1000	0.9147	29.3252
0.3154	0.2	2000	1.1353	26.5718
0.359	0.3	3000	0.9208	25.3987
0.273	0.4	4000	0.9591	24.3877
0.2326	0.5	5000	0.9207	21.9052
0.2992	1.04	6000	0.9445	22.4556
0.2265	1.14	7000	0.9660	21.2230
0.2059	1.24	8000	0.9785	20.9551
0.2239	1.34	9000	0.9637	21.6300
0.2163	1.44	10000	0.9750	21.3693

Framework versions

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