XLS-R_53_english – AI Model by hadiqa123 | AlphaNeural AI

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XLS-R_53_english

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XLS-R_53_english

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3430
Wer: 0.3033

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6589	1.65	500	3.1548	1.0
2.5363	3.3	1000	1.0250	0.8707
0.849	4.95	1500	0.3964	0.4636
0.4812	6.6	2000	0.3341	0.3907
0.3471	8.25	2500	0.3351	0.3659
0.2797	9.9	3000	0.3104	0.3475
0.2336	11.55	3500	0.3545	0.3419
0.2116	13.2	4000	0.3577	0.3353
0.1688	14.85	4500	0.3383	0.3302
0.1587	16.5	5000	0.3431	0.3235
0.1358	18.15	5500	0.3504	0.3209
0.1323	19.8	6000	0.3468	0.3191
0.115	21.45	6500	0.3331	0.3127
0.108	23.1	7000	0.3497	0.3099
0.0938	24.75	7500	0.3532	0.3091
0.0974	26.4	8000	0.3461	0.3086
0.0867	28.05	8500	0.3422	0.3054
0.0852	29.7	9000	0.3430	0.3033

Framework versions

Transformers 4.17.0
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.12.1