wav2vec2-large-mms-1b-turkish-colab – AI Model by hilaltekgoz | AlphaNeural AI

You can deploy this model and start earning money today!

hilaltekgoz/
wav2vec2-large-mms-1b-turkish-colab

like

0

automatic-speech-recognition

generated_from_trainer

common_voice_11_0

facebook/mms-1b-all

endpoints_compatible

Views

No views yet

wav2vec2-large-mms-1b-turkish-colab

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4348
Wer: 0.4286

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: 0.001
train_batch_size: 32
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: 1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.3297	0.12	100	0.5375	0.4571
0.2726	0.25	200	0.5256	0.4714
0.265	0.37	300	0.4696	0.4571
0.263	0.49	400	0.4405	0.4286
0.2574	0.61	500	0.4363	0.4143
0.2517	0.74	600	0.4592	0.4286
0.2454	0.86	700	0.4445	0.4143
0.2425	0.98	800	0.4348	0.4286

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0