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bigmorning/
whisper_charsplit_new_round3__0071

Name: whisper_charsplit_new_round3__0071
Availability: InStock

transformers

whisper

automatic-speech-recognition

generated_from_keras_callback

bigmorning/whisper_charsplit_new_round2__0061

finetune

apache-2.0

endpoints_compatible

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whisper_charsplit_new_round3__0071

This model is a fine-tuned version of bigmorning/whisper_charsplit_new_round2__0061 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0010
Train Accuracy: 0.0795
Train Wermet: 7.8106
Validation Loss: 0.5724
Validation Accuracy: 0.0771
Validation Wermet: 6.8654
Epoch: 70

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
0.0009	0.0795	7.9492	0.5730	0.0769	7.2856	0
0.0015	0.0795	8.4221	0.5756	0.0769	7.1487	1
0.0012	0.0795	7.8476	0.5699	0.0769	6.5976	2
0.0010	0.0795	7.6843	0.5740	0.0769	6.9513	3
0.0014	0.0795	8.0796	0.5763	0.0768	7.4043	4
0.0019	0.0795	7.7274	0.5724	0.0769	6.4922	5
0.0008	0.0795	7.3468	0.5734	0.0769	6.1909	6
0.0009	0.0795	7.2393	0.5816	0.0769	6.5734	7
0.0010	0.0795	7.5822	0.5755	0.0769	6.6613	8
0.0004	0.0795	7.3807	0.5698	0.0770	7.0671	9
0.0001	0.0795	7.7157	0.5681	0.0771	6.8391	10
0.0001	0.0795	7.7540	0.5725	0.0771	6.9281	11
0.0001	0.0795	7.7721	0.5726	0.0771	6.8911	12
0.0000	0.0795	7.8163	0.5721	0.0771	6.8876	13
0.0000	0.0795	7.7745	0.5741	0.0771	6.8770	14
0.0000	0.0795	7.7277	0.5752	0.0771	6.8671	15
0.0000	0.0795	7.7355	0.5765	0.0771	6.8447	16
0.0000	0.0795	7.7109	0.5784	0.0771	6.8560	17
0.0000	0.0795	7.7427	0.5796	0.0771	6.8406	18
0.0003	0.0795	7.6709	0.6610	0.0762	7.0119	19
0.0115	0.0793	8.3288	0.5580	0.0769	7.1457	20
0.0013	0.0795	8.2537	0.5574	0.0770	6.7708	21
0.0004	0.0795	8.0507	0.5619	0.0770	7.0678	22
0.0003	0.0795	8.0534	0.5593	0.0771	7.0433	23
0.0002	0.0795	8.1738	0.5604	0.0771	7.1617	24
0.0001	0.0795	8.1494	0.5589	0.0771	7.1609	25
0.0000	0.0795	8.2151	0.5614	0.0771	7.1972	26
0.0000	0.0795	8.2332	0.5633	0.0771	7.1736	27
0.0000	0.0795	8.2573	0.5648	0.0771	7.2086	28
0.0000	0.0795	8.2571	0.5667	0.0771	7.1787	29
0.0000	0.0795	8.2607	0.5689	0.0771	7.2107	30
0.0000	0.0795	8.2992	0.5700	0.0772	7.2006	31
0.0000	0.0795	8.3059	0.5721	0.0772	7.2341	32
0.0000	0.0795	8.2872	0.5744	0.0772	7.2069	33
0.0080	0.0794	8.3693	0.5947	0.0762	7.3034	34
0.0063	0.0794	8.2517	0.5491	0.0769	7.1324	35
0.0008	0.0795	7.9115	0.5447	0.0771	6.9422	36
0.0002	0.0795	7.6265	0.5471	0.0771	6.8107	37
0.0001	0.0795	7.6685	0.5493	0.0771	6.6914	38
0.0001	0.0795	7.6100	0.5515	0.0771	6.7738	39
0.0000	0.0795	7.6623	0.5535	0.0771	6.7829	40
0.0000	0.0795	7.6768	0.5556	0.0771	6.8287	41
0.0000	0.0795	7.7199	0.5578	0.0772	6.8398	42
0.0000	0.0795	7.7423	0.5600	0.0772	6.8518	43
0.0000	0.0795	7.7561	0.5617	0.0772	6.8898	44
0.0000	0.0795	7.7766	0.5639	0.0772	6.8982	45
0.0000	0.0795	7.7962	0.5659	0.0772	6.9091	46
0.0000	0.0795	7.8106	0.5680	0.0772	6.9293	47
0.0000	0.0795	7.8387	0.5701	0.0772	6.9401	48
0.0000	0.0795	7.8480	0.5724	0.0772	6.9544	49
0.0000	0.0795	7.8755	0.5744	0.0772	6.9767	50
0.0000	0.0795	7.8924	0.5770	0.0772	6.9928	51
0.0000	0.0795	7.9169	0.5794	0.0772	7.0149	52
0.0000	0.0795	7.9400	0.5822	0.0772	7.0438	53
0.0000	0.0795	7.9697	0.5846	0.0772	7.0785	54
0.0000	0.0795	8.0061	0.5875	0.0772	7.0840	55
0.0000	0.0795	8.0364	0.5907	0.0772	7.0683	56
0.0113	0.0793	7.8674	0.5714	0.0768	6.0540	57
0.0030	0.0795	7.4853	0.5586	0.0770	6.6707	58
0.0009	0.0795	7.4969	0.5584	0.0771	6.7292	59
0.0004	0.0795	7.6676	0.5577	0.0771	6.7898	60
0.0002	0.0795	7.5238	0.5561	0.0772	6.6962	61
0.0002	0.0795	7.4915	0.5613	0.0772	6.6315	62
0.0005	0.0795	7.6199	0.5783	0.0770	6.9551	63
0.0019	0.0795	7.8859	0.5789	0.0769	6.9689	64
0.0020	0.0795	7.9131	0.5655	0.0770	7.0500	65
0.0010	0.0795	7.8135	0.5750	0.0770	7.0532	66
0.0009	0.0795	7.7899	0.5646	0.0770	6.8492	67
0.0007	0.0795	7.7019	0.5691	0.0771	6.6536	68
0.0005	0.0795	7.7786	0.5695	0.0771	6.3958	69
0.0010	0.0795	7.8106	0.5724	0.0771	6.8654	70

Framework versions

Transformers 4.32.0.dev0
TensorFlow 2.12.0
Tokenizers 0.13.3

bigmorning/whisper_charsplit_new_round3__0071

whisper_charsplit_new_round3__0071

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigmorning/
whisper_charsplit_new_round3__0071