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wav2vec2-large-xls-r-300m-sinhala – AI Model by IAmNotAnanth | AlphaNeural AI

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IAmNotAnanth/
wav2vec2-large-xls-r-300m-sinhala

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automatic-speech-recognition

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wav2vec2-large-xls-r-300m-sinhala

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 5.4599
eval_wer: 1.0
eval_runtime: 185.9221
eval_samples_per_second: 6.729
eval_steps_per_second: 0.844
epoch: 2.53
step: 100

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: 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: 500
num_epochs: 30

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 1.18.3
Tokenizers 0.13.3