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w2v-bert-2.0-bengali-colab-CV16.0-1k – AI Model by mtsotras | AlphaNeural AI
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mtsotras
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w2v-bert-2.0-bengali-colab-CV16.0-1k
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transformers
safetensors
wav2vec2-bert
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
mtsotras/w2v-bert-2.0-bengali-colab-CV16.0-1k
finetune
mit
endpoints_compatible
us
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w2v-bert-2.0-bengali-colab-CV16.0-1k
This model is a fine-tuned version of
mtsotras/w2v-bert-2.0-bengali-colab-CV16.0-1k
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
eval_loss: inf
eval_model_preparation_time: 0.0123
eval_wer: 0.4251
eval_runtime: 627.3252
eval_samples_per_second: 13.315
eval_steps_per_second: 1.666
step: 0
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 10
mixed_precision_training: Native AMP
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
