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smutuvi/
whisper-small-sw-ndizi-248

Name: whisper-small-sw-ndizi-248
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

smutuvi/whisper-small-sw-common-voice

adapter

apache-2.0

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whisper-small-sw-ndizi-248

This model is a fine-tuned version of smutuvi/whisper-small-sw-common-voice on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4545

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
gradient_accumulation_steps: 22
total_train_batch_size: 352
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	1.5588
No log	2.0	3	1.5582
No log	3.0	4	1.5604
No log	4.0	6	1.5600
No log	5.0	8	1.5584
No log	6.0	9	1.5564
No log	7.0	11	1.5573
No log	8.0	13	1.5578
No log	9.0	14	1.5555
No log	10.0	16	1.5526
No log	11.0	17	1.5512
No log	12.0	18	1.5543
No log	13.0	20	1.5531
No log	14.0	21	1.5537
No log	15.0	23	1.5485
0.7121	16.0	25	1.5470
0.7121	17.0	26	1.5472
0.7121	18.0	28	1.5438
0.7121	19.0	30	1.5405
0.7121	20.0	31	1.5388
0.7121	21.0	33	1.5370
0.7121	22.0	34	1.5358
0.7121	23.0	35	1.5341
0.7121	24.0	37	1.5292
0.7121	25.0	38	1.5314
0.7121	26.0	40	1.5298
0.7121	27.0	42	1.5236
0.7121	28.0	43	1.5198
0.7121	29.0	45	1.5203
0.7121	30.0	47	1.5123
0.7121	31.0	48	1.5138
0.6959	32.0	50	1.5080
0.6959	33.0	51	1.5100
0.6959	34.0	52	1.5065
0.6959	35.0	54	1.5011
0.6959	36.0	55	1.4980
0.6959	37.0	57	1.4947
0.6959	38.0	59	1.4924
0.6959	39.0	60	1.4910
0.6959	40.0	62	1.4885
0.6959	41.0	64	1.4863
0.6959	42.0	65	1.4854
0.6959	43.0	67	1.4784
0.6959	44.0	68	1.4784
0.6959	45.0	69	1.4794
0.6959	46.0	71	1.4727
0.6959	47.0	72	1.4713
0.6959	48.0	74	1.4678
0.7021	49.0	76	1.4735
0.7021	50.0	77	1.4666
0.7021	51.0	79	1.4670
0.7021	52.0	81	1.4634
0.7021	53.0	82	1.4646
0.7021	54.0	84	1.4603
0.7021	55.0	85	1.4617
0.7021	56.0	86	1.4626
0.7021	57.0	88	1.4637
0.7021	58.0	89	1.4614
0.7021	59.0	91	1.4589
0.7021	60.0	93	1.4584
0.7021	61.0	94	1.4623
0.7021	62.0	96	1.4581
0.7021	63.0	98	1.4566
0.7021	64.0	99	1.4574
0.6465	64.43	100	1.4545

Framework versions

PEFT 0.7.2.dev0
Transformers 4.38.0.dev0
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.15.0

smutuvi/whisper-small-sw-ndizi-248

whisper-small-sw-ndizi-248

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

smutuvi/
whisper-small-sw-ndizi-248