wav2vec2-large-xlrs – AI Model by thyungkim | AlphaNeural AI

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thyungkim/
wav2vec2-large-xlrs

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wav2vec2-large-xlrs

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: 0.2309
Wer: 0.2314

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: 32
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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6199	3.45	500	3.1926	1.0
2.5032	6.9	1000	0.6387	0.5685
0.4994	10.34	1500	0.2603	0.2971
0.2602	13.79	2000	0.2264	0.2562
0.1763	17.24	2500	0.2434	0.2450
0.1459	20.69	3000	0.2197	0.2370
0.1326	24.14	3500	0.2301	0.2333
0.1088	27.59	4000	0.2309	0.2314

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu116
Datasets 1.18.3
Tokenizers 0.13.2