wav2vec2-xls-r-300m-MCV15 – AI Model by gweltou | AlphaNeural AI

You can deploy this model and start earning money today!

gweltou/
wav2vec2-xls-r-300m-MCV15

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

Views

No views yet

wav2vec2-xls-r-300m-MCV15

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9816
Wer: 0.6048
Cer: 0.2217

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: 6e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
11.1167	4.5	250	3.6649	1.0	1.0000
3.1388	9.01	500	2.9534	1.0	1.0000
2.1614	13.51	750	1.3123	0.8240	0.3193
1.0783	18.02	1000	1.0311	0.7298	0.2684
0.7555	22.52	1250	0.9512	0.6806	0.2486
0.6159	27.03	1500	0.9362	0.6561	0.2418
0.5212	31.53	1750	0.9738	0.6409	0.2344
0.4684	36.04	2000	0.9576	0.6223	0.2282
0.4275	40.54	2250	0.9829	0.6178	0.2267
0.3856	45.05	2500	0.9753	0.6102	0.2244
0.3665	49.55	2750	0.9797	0.6058	0.2223
0.3668	54.05	3000	0.9690	0.6046	0.2217
0.3294	58.56	3250	0.9816	0.6048	0.2217

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0