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mms-1b-all-chichewa-2h – AI Model by dmatekenya | AlphaNeural AI
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mms-1b-all-chichewa-2h
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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-chichewa-2h
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: 16.0540
Wer: 1.0
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: 2
eval_batch_size: 8
seed: 42
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: 5
training_steps: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
36.4390
0.0398
10
27.2308
1.0
12.1751
0.0797
20
16.0540
1.0
Framework versions
Transformers 5.4.0
Pytorch 2.11.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
