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mms-300m-ngen – AI Model by stegostegosaur | AlphaNeural AI
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mms-300m-ngen
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
mms-meta/mms-zeroshot-300m
finetune
cc-by-nc-4.0
endpoints_compatible
us
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mms-300m-ngen
This model is a fine-tuned version of
mms-meta/mms-zeroshot-300m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 0.0005
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
1.0
83
nan
1.0
25801981134110.72
2.0
166
nan
1.0
0.0
3.0
249
nan
1.0
0.0
4.0
332
nan
1.0
0.0
4.9483
410
nan
1.0
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.0
