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bigmorning/
whisper_charsplit_new_round3__0024

Name: whisper_charsplit_new_round3__0024
Availability: InStock

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whisper_charsplit_new_round3__0024

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:

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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

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