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GleamEyeBeast/ascend

sourceHugging Faceupdated 4y agoView on Hugging Face

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ascend

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

—Loss: 1.3718
—Wer: 0.6412
—Cer: 0.2428

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: 5e-05
—trainbatchsize: 16
—evalbatchsize: 16
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 20
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.5769	1.0	688	1.1864	0.7716	0.3159
0.5215	2.0	1376	1.1613	0.7504	0.2965
0.4188	3.0	2064	1.1644	0.7389	0.2950
0.3695	4.0	2752	1.1937	0.7184	0.2815
0.3404	5.0	3440	1.1947	0.7083	0.2719
0.2885	6.0	4128	1.2314	0.7108	0.2685
0.2727	7.0	4816	1.2243	0.6850	0.2616
0.2417	8.0	5504	1.2506	0.6767	0.2608
0.2207	9.0	6192	1.2804	0.6922	0.2595
0.2195	10.0	6880	1.2582	0.6818	0.2575
0.1896	11.0	7568	1.3101	0.6814	0.2545
0.1961	12.0	8256	1.2793	0.6706	0.2526
0.1752	13.0	8944	1.2643	0.6584	0.2509
0.1638	14.0	9632	1.3152	0.6588	0.2482
0.1522	15.0	10320	1.3098	0.6433	0.2439
0.1351	16.0	11008	1.3253	0.6537	0.2447
0.1266	17.0	11696	1.3394	0.6365	0.2418
0.1289	18.0	12384	1.3718	0.6412	0.2443
0.1204	19.0	13072	1.3708	0.6433	0.2433
0.1189	20.0	13760	1.3718	0.6412	0.2428

Framework versions

—Transformers 4.17.0
—Pytorch 1.10.0+cu111
—Datasets 2.0.0
—Tokenizers 0.11.6