wav2vec2-large-xls-r-300m-en – AI Model by Messam174 | AlphaNeural AI

You can deploy this model and start earning money today!

Messam174/
wav2vec2-large-xls-r-300m-en

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

Views

No views yet

wav2vec2-large-xls-r-300m-en

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: 0.8281
Wer: 0.5698

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: 10
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 7
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.9669	0.9971	171	3.0636	1.0
3.0225	2.0	343	2.9644	1.0
2.9628	2.9971	514	1.9962	1.0301
1.5081	4.0	686	1.1949	0.7784
1.0398	4.9971	857	0.9907	0.6939
0.8111	6.0	1029	0.8605	0.5979
0.5514	6.9796	1197	0.8281	0.5698

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1