yesj1234/xlsr_mid1_ko-en

ko-xlsr

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the ./SAMPLE_SPEECH.PY - NA dataset. It achieves the following results on the evaluation set:

• Loss: 0.4215
• Cer: 0.1103

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: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
1.5961	0.94	2000	1.0685	0.2712
1.2068	1.89	4000	0.8059	0.2117
1.0519	2.83	6000	0.6764	0.1784
0.9522	3.77	8000	0.6238	0.1667
0.8855	4.72	10000	0.5901	0.1572
0.8353	5.66	12000	0.5560	0.1473
0.7765	6.6	14000	0.5313	0.1418
0.7333	7.55	16000	0.5100	0.1339
0.6887	8.49	18000	0.4902	0.1304
0.6547	9.43	20000	0.4785	0.1252
0.612	10.37	22000	0.4594	0.1200
0.5855	11.32	24000	0.4469	0.1176
0.5538	12.26	26000	0.4398	0.1156
0.5341	13.2	28000	0.4318	0.1124
0.5229	14.15	30000	0.4251	0.1111

Framework versions

• Transformers 4.34.0
• Pytorch 2.1.0+cu121
• Datasets 2.14.5
• Tokenizers 0.14.1