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mms-1bl1107-tenakichwa-120 – AI Model by colorlessideas | AlphaNeural AI
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mms-1bl1107-tenakichwa-120
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/mms-1b-l1107
finetune
cc-by-nc-4.0
endpoints_compatible
us
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mms-1bl1107-tenakichwa-120
This model is a fine-tuned version of
facebook/mms-1b-l1107
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2002
Cer: 0.0571
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: 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
2.3699
6.6723
400
0.5899
0.1454
0.7405
13.3361
800
0.4014
0.1038
0.5809
20.0
1200
0.2816
0.0806
0.4731
26.6723
1600
0.2002
0.0571
Framework versions
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0
