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mms-1bl1107-ulwa-120 – AI Model by colorlessideas | AlphaNeural AI
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mms-1bl1107-ulwa-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-ulwa-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: 0.2885
Cer: 0.0791
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
2.601
6.5574
400
0.7654
0.2007
0.8715
13.1148
800
0.5299
0.1397
0.706
19.6721
1200
0.3865
0.1043
0.59
26.2295
1600
0.2885
0.0791
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
