xlsr-syntesized-turkish-2-hour – AI Model by alikanakar | AlphaNeural AI

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alikanakar/
xlsr-syntesized-turkish-2-hour

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xlsr-syntesized-turkish-2-hour

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2104
Wer: 0.1760

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: 0.0005
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.7259	1.04	100	3.0458	1.0
2.5603	2.08	200	0.7478	0.7963
0.5767	3.12	300	0.3021	0.3884
0.3653	4.17	400	0.2464	0.3264
0.2777	5.21	500	0.2136	0.2785
0.2225	6.25	600	0.2319	0.2564
0.1814	7.29	700	0.1915	0.2625
0.1406	8.33	800	0.1783	0.2381
0.1242	9.38	900	0.1914	0.2227
0.1142	10.42	1000	0.2006	0.2308
0.096	11.46	1100	0.1945	0.2067
0.0852	12.5	1200	0.2025	0.1999
0.0726	13.54	1300	0.2206	0.1897
0.0648	14.58	1400	0.2083	0.1879
0.0576	15.62	1500	0.2081	0.1832
0.0545	16.67	1600	0.2157	0.1809
0.0534	17.71	1700	0.2135	0.1765
0.0473	18.75	1800	0.2111	0.1804
0.0433	19.79	1900	0.2104	0.1760

Framework versions

Transformers 4.26.0
Pytorch 1.10.0+cu113
Datasets 2.9.0
Tokenizers 0.13.2