wav2vec2-large-xlsr-korean-demo-colab-2 – AI Model by NX2411 | AlphaNeural AI

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wav2vec2-large-xlsr-korean-demo-colab-2

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wav2vec2-large-xlsr-korean-demo-colab-2

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: 0.2481
Wer: 0.2480

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.7387	2.12	400	3.1791	1.0
1.3766	4.23	800	0.4876	0.5264
0.476	6.35	1200	0.2955	0.3648
0.3209	8.46	1600	0.2926	0.3473
0.2591	10.58	2000	0.2723	0.3094
0.2055	12.7	2400	0.2746	0.3027
0.1802	14.81	2800	0.2672	0.2976
0.1552	16.93	3200	0.2822	0.2807
0.1413	19.05	3600	0.2652	0.2856
0.1232	21.16	4000	0.2631	0.2655
0.1146	23.28	4400	0.2561	0.2574
0.1086	25.4	4800	0.2461	0.2527
0.0944	27.51	5200	0.2521	0.2535
0.0881	29.63	5600	0.2481	0.2480

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1