xlsr-nm-nor – AI Model by susmitabhatt | AlphaNeural AI

You can deploy this model and start earning money today!

susmitabhatt/
xlsr-nm-nor

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

Views

No views yet

xlsr-nm-nor

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: 0.3194
Wer: 0.3191

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: 0.0004
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch 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: 132
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.7474	11.1143	200	2.9646	1.0
2.5674	22.2286	400	1.7315	1.0
0.8551	33.3429	600	0.4517	0.4125
0.2155	44.4571	800	0.3589	0.3424
0.1316	55.5714	1000	0.2728	0.3191
0.0667	66.6857	1200	0.3201	0.3735
0.0466	77.8	1400	0.3268	0.3230
0.0316	88.9143	1600	0.3194	0.3191

Framework versions

Transformers 4.47.0.dev0
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0