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xls-r-300m-ulwa-120 – AI Model by colorlessideas | AlphaNeural AI
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xls-r-300m-ulwa-120
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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xls-r-300m-ulwa-120
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:
Loss: 0.0158
Cer: 0.0026
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: 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: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
3.6437
6.5574
400
0.9102
0.2287
0.7326
13.1148
800
0.2084
0.0467
0.331
19.6721
1200
0.0780
0.0138
0.1953
26.2295
1600
0.0158
0.0026
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
