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wav2vec2-xls-r-300m-sinhala-general-185k – AI Model by janiduchamika | AlphaNeural AI
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wav2vec2-xls-r-300m-sinhala-general-185k
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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wav2vec2-xls-r-300m-sinhala-general-185k
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1645
eval_wer: 25.1311
eval_runtime: 238.8608
eval_samples_per_second: 74.533
eval_steps_per_second: 9.319
epoch: 8.3867
step: 21000
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.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: 2000
num_epochs: 10
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
