This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_3/ - NA dataset. It achieves the following results on the evaluation set:

Loss: 0.2293
Wer: 0.3333
Cer: 0.0602

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: 7e-05
train_batch_size: 64
eval_batch_size: 64
seed: 842
gradient_accumulation_steps: 2
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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.1471	7.02	400	3.1599	1.0	1.0
1.8691	14.04	800	0.7674	0.7361	0.1686
1.3227	21.05	1200	0.3849	0.5336	0.1007
1.163	28.07	1600	0.3015	0.4559	0.0823
1.0768	35.09	2000	0.2721	0.4032	0.0728
1.0224	42.11	2400	0.2586	0.3825	0.0691
0.9817	49.12	2800	0.2458	0.3653	0.0653
0.941	56.14	3200	0.2306	0.3388	0.0605
0.9235	63.16	3600	0.2315	0.3380	0.0615
0.9141	70.18	4000	0.2293	0.3333	0.0602

Framework versions

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

arampacha/wav2vec2-xls-r-300m-hy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arampacha/
wav2vec2-xls-r-300m-hy