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wav2vec2-large-mms-1b-amharic-colab – AI Model by oddegen | AlphaNeural AI
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wav2vec2-large-mms-1b-amharic-colab
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_17_0
facebook/mms-1b-all
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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wav2vec2-large-mms-1b-amharic-colab
This model is a fine-tuned version of
facebook/mms-1b-all
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6247
Wer: 0.5047
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
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: 100
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
15.6099
1.1364
50
3.3812
0.9995
1.174
2.2727
100
0.6846
0.5174
0.6566
3.4091
150
0.6247
0.5047
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
