arampacha/wav2vec2-xls-r-1b-hy

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_4/ - NA dataset. It achieves the following results on the evaluation set:

Loss: 0.1693
Wer: 0.2373
Cer: 0.0429

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: 5e-05
train_batch_size: 16
eval_batch_size: 64
seed: 842
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.255	7.24	500	0.2978	0.4294	0.0758
1.0058	14.49	1000	0.1883	0.2838	0.0483
0.9371	21.73	1500	0.1813	0.2627	0.0457
0.8999	28.98	2000	0.1693	0.2373	0.0429
0.8814	36.23	2500	0.1760	0.2420	0.0435
0.8364	43.47	3000	0.1765	0.2416	0.0419
0.8019	50.72	3500	0.1758	0.2311	0.0398
0.7665	57.96	4000	0.1745	0.2240	0.0399
0.7376	65.22	4500	0.1717	0.2190	0.0385
0.716	72.46	5000	0.1700	0.2147	0.0382

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2
Datasets 1.18.4.dev0
Tokenizers 0.11.0

arampacha
/

wav2vec2-xls-r-1b-hy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dataset used to train arampacha/wav2vec2-xls-r-1b-hy

Evaluation results