models-moved – AI Model by holmes26 | AlphaNeural AI

You can deploy this model and start earning money today!

holmes26/
models-moved

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

Views

No views yet

models

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0169
Wer: 0.2673

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.6087	1.26	500	3.0092	1.0
2.1293	2.53	1000	0.4565	0.6872
0.443	3.79	1500	0.1887	0.3995
0.2368	5.05	2000	0.0564	0.3034
0.1775	6.31	2500	0.0398	0.2964
0.132	7.58	3000	0.0574	0.2895
0.1176	8.84	3500	0.0298	0.2749
0.1023	10.1	4000	0.0243	0.2708
0.0833	11.36	4500	0.0235	0.2796
0.0668	12.63	5000	0.0160	0.2714
0.0559	13.89	5500	0.0264	0.2749
0.0414	15.15	6000	0.0157	0.2673
0.0388	16.41	6500	0.0231	0.2772
0.0313	17.68	7000	0.0168	0.2667
0.0286	18.94	7500	0.0169	0.2673

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2