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w2v-bert-2.0-english-CV16.1-v1 – AI Model by omaryshchenko | AlphaNeural AI

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omaryshchenko/
w2v-bert-2.0-english-CV16.1-v1

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automatic-speech-recognition

generated_from_trainer

facebook/w2v-bert-2.0

endpoints_compatible

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w2v-bert-2.0-english-CV16.1-v1

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: 0.0001
train_batch_size: 24
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 420
training_steps: 3000

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.1