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wav2vec2-large-tamil-native – AI Model by JairamKanna | AlphaNeural AI

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JairamKanna/
wav2vec2-large-tamil-native

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-xlsr-53

endpoints_compatible

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wav2vec2-large-tamil-native

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: nan
eval_wer: 1.0
eval_runtime: 58.2412
eval_samples_per_second: 3.125
eval_steps_per_second: 0.395
epoch: 32.97
step: 1500

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 50
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.0
Pytorch 1.11.0
Datasets 2.14.6
Tokenizers 0.14.1