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

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alikanakar/
xlsr-syntesized-turkish-2-hour-llr-2

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xlsr-syntesized-turkish-2-hour-llr-2

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: 0.3989
Wer: 0.4791

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: 0.0025
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
3.8587	1.04	100	2.9955	1.0
2.6054	2.08	200	1.6852	0.9992
1.2192	3.12	300	0.6653	0.8583
0.755	4.17	400	0.5134	0.7158
0.6025	5.21	500	0.4487	0.6965
0.5219	6.25	600	0.4126	0.6230
0.4789	7.29	700	0.4284	0.6378
0.4103	8.33	800	0.3730	0.5873
0.3717	9.38	900	0.3521	0.5442
0.3318	10.42	1000	0.3619	0.5583
0.3039	11.46	1100	0.3741	0.5296
0.2849	12.5	1200	0.3656	0.5045
0.2497	13.54	1300	0.3773	0.5286
0.2287	14.58	1400	0.3919	0.5554
0.217	15.62	1500	0.3831	0.5287
0.1899	16.67	1600	0.3876	0.4928
0.1798	17.71	1700	0.3967	0.4910
0.1772	18.75	1800	0.3982	0.4877
0.1631	19.79	1900	0.3989	0.4791

Framework versions

Transformers 4.26.0
Pytorch 2.1.0+cu118
Datasets 2.9.0
Tokenizers 0.13.3