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smutuvi/
whisper-small-sw-common-voice-ndizi-158-NF4

Name: whisper-small-sw-common-voice-ndizi-158-NF4
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-common-voice-ndizi-158-NF4

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: 1.6482

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: 50
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	9	1.9783
No log	2.0	18	1.9757
1.8194	3.0	27	1.9710
1.8194	4.0	36	1.9631
1.8194	5.0	45	1.9543
1.7712	6.0	54	1.9437
1.7712	7.0	63	1.9337
1.7712	8.0	72	1.9244
1.7377	9.0	81	1.9141
1.7377	10.0	90	1.9043
1.7377	11.0	99	1.8952
1.7377	12.0	108	1.8863
1.7377	13.0	117	1.8762
1.6796	14.0	126	1.8684
1.6796	15.0	135	1.8588
1.6796	16.0	144	1.8501
1.6217	17.0	153	1.8414
1.6217	18.0	162	1.8325
1.6217	19.0	171	1.8253
1.6036	20.0	180	1.8169
1.6036	21.0	189	1.8097
1.6036	22.0	198	1.8017
1.6129	23.0	207	1.7949
1.6129	24.0	216	1.7879
1.5607	25.0	225	1.7817
1.5607	26.0	234	1.7760
1.5607	27.0	243	1.7699
1.5305	28.0	252	1.7637
1.5305	29.0	261	1.7588
1.5305	30.0	270	1.7537
1.5261	31.0	279	1.7485
1.5261	32.0	288	1.7444
1.5261	33.0	297	1.7400
1.5331	34.0	306	1.7360
1.5331	35.0	315	1.7322
1.5331	36.0	324	1.7287
1.5131	37.0	333	1.7250
1.5131	38.0	342	1.7216
1.4883	39.0	351	1.7183
1.4883	40.0	360	1.7151
1.4883	41.0	369	1.7119
1.4551	42.0	378	1.7092
1.4551	43.0	387	1.7063
1.4551	44.0	396	1.7042
1.47	45.0	405	1.7018
1.47	46.0	414	1.6988
1.47	47.0	423	1.6967
1.4422	48.0	432	1.6942
1.4422	49.0	441	1.6922
1.4432	50.0	450	1.6904
1.4432	51.0	459	1.6886
1.4432	52.0	468	1.6869
1.4108	53.0	477	1.6849
1.4108	54.0	486	1.6828
1.4108	55.0	495	1.6808
1.4377	56.0	504	1.6797
1.4377	57.0	513	1.6777
1.4377	58.0	522	1.6770
1.4281	59.0	531	1.6748
1.4281	60.0	540	1.6732
1.4281	61.0	549	1.6718
1.374	62.0	558	1.6704
1.374	63.0	567	1.6695
1.3947	64.0	576	1.6678
1.3947	65.0	585	1.6667
1.3947	66.0	594	1.6656
1.3843	67.0	603	1.6650
1.3843	68.0	612	1.6638
1.3843	69.0	621	1.6620
1.385	70.0	630	1.6614
1.385	71.0	639	1.6608
1.385	72.0	648	1.6592
1.368	73.0	657	1.6586
1.368	74.0	666	1.6576
1.3777	75.0	675	1.6574
1.3777	76.0	684	1.6565
1.3777	77.0	693	1.6556
1.3837	78.0	702	1.6553
1.3837	79.0	711	1.6547
1.3837	80.0	720	1.6544
1.3577	81.0	729	1.6529
1.3577	82.0	738	1.6523
1.3577	83.0	747	1.6515
1.3961	84.0	756	1.6513
1.3961	85.0	765	1.6512
1.3961	86.0	774	1.6505
1.3292	87.0	783	1.6497
1.3292	88.0	792	1.6495
1.3578	89.0	801	1.6496
1.3578	90.0	810	1.6495
1.3578	91.0	819	1.6488
1.3352	92.0	828	1.6486
1.3352	93.0	837	1.6492
1.3352	94.0	846	1.6487
1.3873	95.0	855	1.6485
1.3873	96.0	864	1.6483
1.3873	97.0	873	1.6481
1.3391	98.0	882	1.6483
1.3391	99.0	891	1.6482
1.3569	100.0	900	1.6482

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.16.1
Tokenizers 0.15.0

smutuvi/whisper-small-sw-common-voice-ndizi-158-NF4

whisper-small-sw-common-voice-ndizi-158-NF4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

smutuvi/
whisper-small-sw-common-voice-ndizi-158-NF4