wav2vec2-xlsr-ne-en-finetuned – AI Model by Bijay13 | AlphaNeural AI

You can deploy this model and start earning money today!

Bijay13/
wav2vec2-xlsr-ne-en-finetuned

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

Views

No views yet

wav2vec2-xlsr-ne-en-finetuned

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7203
Wer: 0.3468

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.4721	4.9958	1184	0.9764	0.6322
0.6	9.9916	2368	0.6466	0.4239
0.428	14.9873	3552	0.6566	0.4119
0.3331	19.9831	4736	0.6387	0.3603
0.2801	24.9789	5920	0.6760	0.3490
0.2493	29.9747	7104	0.7004	0.3415

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 2.21.0
Tokenizers 0.22.1