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mms-1b-all-central-puebla-nahuatl – AI Model by robertp408 | AlphaNeural AI
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mms-1b-all-central-puebla-nahuatl
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/mms-1b-all
finetune
cc-by-nc-4.0
endpoints_compatible
us
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mms-1b-all-central-puebla-nahuatl
This model is a fine-tuned version of
facebook/mms-1b-all
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.7448
Model Preparation Time: 0.0393
Wer Ortho: 100.0
Wer: 100.0
Cer Ortho: 96.9899
Cer: 99.0886
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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 50
training_steps: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Wer Ortho
Wer
Cer Ortho
Cer
14.6702
2.2727
50
3.7448
0.0393
100.0
100.0
96.9899
99.0886
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.1
