wav2vec2-xlsr-53-torgo-8batch-30epochs-500steps – AI Model by ying-tina | AlphaNeural AI

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wav2vec2-xlsr-53-torgo-8batch-30epochs-500steps

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wav2vec2-xlsr-53-torgo-8batch-30epochs-500steps

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: 1.0747
Cer: 0.3015

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	Cer
25.2161	2.53	500	5.2319	0.9816
3.649	5.05	1000	3.7028	0.9816
2.8241	7.58	1500	2.0426	0.8802
1.6018	10.1	2000	1.2611	0.4394
1.0374	12.63	2500	1.1117	0.3713
0.7962	15.15	3000	1.0730	0.3445
0.6436	17.68	3500	1.1026	0.3309
0.5344	20.2	4000	1.0734	0.3100
0.4556	22.73	4500	1.0877	0.3177
0.3992	25.25	5000	1.0614	0.3065
0.3764	27.78	5500	1.0747	0.3015

Framework versions

Transformers 4.18.0
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.12.1