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w2v-bert-2.0-polish-CV16.0-v6 – AI Model by omaryshchenko | AlphaNeural AI
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w2v-bert-2.0-polish-CV16.0-v6
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transformers
safetensors
wav2vec2-bert
automatic-speech-recognition
generated_from_trainer
facebook/w2v-bert-2.0
finetune
mit
endpoints_compatible
us
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w2v-bert-2.0-polish-CV16.0-v6
This model is a fine-tuned version of
facebook/w2v-bert-2.0
on an unknown dataset.
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 2000
Framework versions
Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.1
