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wav2vec2-large-mms-1b-km-kag – AI Model by Dracnacio | AlphaNeural AI
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Dracnacio
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wav2vec2-large-mms-1b-km-kag
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safetensors
wav2vec2
generated_from_trainer
fleurs
facebook/mms-1b-all
finetune
cc-by-nc-4.0
model-index
us
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wav2vec2-large-mms-1b-km-kag
This model is a fine-tuned version of
facebook/mms-1b-all
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.7023
Wer: 0.9789
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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.5044
1.9093
200
0.7111
0.9831
1.3787
3.8186
400
0.7002
0.9819
1.3201
5.7279
600
0.7009
0.9785
1.3225
7.6372
800
0.7036
0.9753
1.213
9.5465
1000
0.7023
0.9789
Framework versions
Transformers 4.41.2
Pytorch 2.8.0+cu126
Datasets 2.21.0
Tokenizers 0.19.1
