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w2v-bert-2.0-armenian-CV16.0-version-demo – AI Model by GoshKolotyan | AlphaNeural AI
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w2v-bert-2.0-armenian-CV16.0-version-demo
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transformers
safetensors
wav2vec2-bert
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
facebook/w2v-bert-2.0
finetune
mit
endpoints_compatible
us
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w2v-bert-2.0-armenian-new-dataset
This model is a fine-tuned version of
facebook/w2v-bert-2.0
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1424
eval_wer: 0.1440
eval_cer: 0.0254
eval_runtime: 214.2499
eval_samples_per_second: 19.981
eval_steps_per_second: 2.502
epoch: 6.7508
step: 1100
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: 5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 500
num_epochs: 20
mixed_precision_training: Native AMP
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
