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bigmorning/
whisper_charsplit_new_round4__0055

Name: whisper_charsplit_new_round4__0055
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_round4__0055

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: 0.0013
Train Accuracy: 0.0795
Train Wermet: 9.8190
Validation Loss: 0.5757
Validation Accuracy: 0.0772
Validation Wermet: 9.6916
Epoch: 54

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	7.9702	0.5713	0.0770	6.9300	0
0.0011	0.0795	7.7485	0.5743	0.0771	6.6465	1
0.0011	0.0795	8.1600	0.5748	0.0771	7.1363	2
0.0008	0.0795	8.1954	0.5845	0.0770	7.1869	3
0.0009	0.0795	8.4533	0.5771	0.0771	7.4112	4
0.0009	0.0795	8.3048	0.5912	0.0770	6.5276	5
0.0008	0.0795	8.2183	0.5810	0.0771	7.1210	6
0.0011	0.0795	8.3785	0.5861	0.0770	7.6613	7
0.0010	0.0795	8.0860	0.5811	0.0771	7.0809	8
0.0009	0.0795	8.2523	0.5894	0.0770	7.1269	9
0.0006	0.0795	8.7530	0.5819	0.0771	7.3657	10
0.0007	0.0795	8.5391	0.5773	0.0771	7.7370	11
0.0010	0.0795	8.8222	0.5894	0.0770	7.9252	12
0.0014	0.0795	8.9039	0.5880	0.0771	7.6404	13
0.0009	0.0795	8.6866	0.5777	0.0771	7.5804	14
0.0006	0.0795	9.0833	0.5736	0.0772	8.3242	15
0.0003	0.0795	9.3697	0.5732	0.0772	8.4795	16
0.0006	0.0795	9.4161	0.5838	0.0771	8.5173	17
0.0011	0.0795	9.7801	0.5967	0.0769	8.5462	18
0.0016	0.0795	9.9252	0.5824	0.0771	8.8226	19
0.0009	0.0795	10.1258	0.5813	0.0771	8.6993	20
0.0006	0.0795	9.8897	0.5784	0.0772	8.1699	21
0.0009	0.0795	9.3199	0.5971	0.0771	7.6986	22
0.0018	0.0795	10.2724	0.5924	0.0769	8.9443	23
0.0012	0.0795	9.5275	0.5783	0.0771	7.7057	24
0.0010	0.0795	8.6555	0.5738	0.0772	7.1508	25
0.0005	0.0795	8.8172	0.5775	0.0772	6.9496	26
0.0005	0.0795	8.4569	0.5860	0.0771	7.5262	27
0.0012	0.0795	9.6634	0.5917	0.0770	8.3290	28
0.0011	0.0795	8.9484	0.5855	0.0771	7.6950	29
0.0007	0.0795	8.7377	0.5882	0.0771	7.4076	30
0.0005	0.0795	8.5209	0.5855	0.0772	6.7134	31
0.0009	0.0795	8.5136	0.5862	0.0771	8.0204	32
0.0011	0.0795	7.8920	0.5788	0.0772	7.3091	33
0.0008	0.0795	8.8453	0.5776	0.0772	7.0827	34
0.0007	0.0795	8.1489	0.5822	0.0771	7.5322	35
0.0008	0.0795	8.4097	0.5864	0.0771	7.7738	36
0.0012	0.0795	8.9267	0.5956	0.0770	8.1001	37
0.0012	0.0795	9.4676	0.5829	0.0771	8.7507	38
0.0009	0.0795	9.6944	0.5773	0.0772	7.7827	39
0.0004	0.0795	9.3722	0.5718	0.0773	7.8053	40
0.0002	0.0795	9.2630	0.5717	0.0773	7.8323	41
0.0001	0.0795	9.2770	0.5734	0.0773	8.3556	42
0.0000	0.0795	9.2889	0.5743	0.0774	7.8894	43
0.0001	0.0795	9.4087	0.5741	0.0774	8.2489	44
0.0000	0.0795	9.4720	0.5768	0.0774	7.8852	45
0.0048	0.0794	9.2854	0.5900	0.0769	6.9239	46
0.0033	0.0795	9.1282	0.5624	0.0772	7.1879	47
0.0006	0.0795	8.7893	0.5580	0.0773	7.2167	48
0.0002	0.0795	8.5430	0.5632	0.0773	7.5388	49
0.0002	0.0795	9.1706	0.5636	0.0773	8.1745	50
0.0002	0.0795	10.0866	0.5681	0.0773	8.6828	51
0.0005	0.0795	10.2655	0.5716	0.0772	8.8964	52
0.0011	0.0795	10.2396	0.5819	0.0771	7.9260	53
0.0013	0.0795	9.8190	0.5757	0.0772	9.6916	54

Framework versions

Transformers 4.32.0.dev0
TensorFlow 2.12.0
Tokenizers 0.13.3

bigmorning/whisper_charsplit_new_round4__0055

whisper_charsplit_new_round4__0055

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigmorning/
whisper_charsplit_new_round4__0055