wav2vec2-1b-Ypause – AI Model by Gummybear05 | AlphaNeural AI

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Gummybear05/
wav2vec2-1b-Ypause

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-1b

endpoints_compatible

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wav2vec2-1b-Ypause

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3032
Cer: 30.4276

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
8.4175	0.2581	200	3.4467	71.5695
1.5788	0.5161	400	2.0587	46.5226
1.0864	0.7742	600	1.9065	46.5108
0.8759	1.0323	800	1.6587	42.8924
0.7067	1.2903	1000	1.4755	40.9951
0.615	1.5484	1200	1.6840	43.0510
0.5547	1.8065	1400	1.7452	43.5620
0.5415	2.0645	1600	1.7313	42.6516
0.437	2.3226	1800	1.5706	40.1316
0.4045	2.5806	2000	1.2070	32.2427
0.3736	2.8387	2200	1.4442	37.0007
0.3264	3.0968	2400	1.2398	31.9549
0.2651	3.3548	2600	1.4558	35.4558
0.2621	3.6129	2800	1.2838	32.6363
0.23	3.8710	3000	1.4202	33.7935
0.208	4.1290	3200	1.2976	31.2970
0.1781	4.3871	3400	1.3553	32.2310
0.1628	4.6452	3600	1.3637	32.0489
0.1573	4.9032	3800	1.3032	30.4276

Framework versions

Transformers 4.45.2
Pytorch 2.3.1.post100
Datasets 2.19.1
Tokenizers 0.20.1