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voxtral-asr-en – AI Model by shakods | AlphaNeural AI
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shakods
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voxtral-asr-en
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peft
safetensors
adapter
lora
transformers
voxtral
asr
speech-to-text
automatic-speech-recognition
fine-tuning
synthetic
audio
english
text-generation
en
mistralai/Voxtral-Mini-3B-2507
apache-2.0
us
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voxtral-asr-en
This model is a fine-tuned version of
mistralai/Voxtral-Mini-3B-2507
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0424
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: 5e-05
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.0341
2.8
50
0.0424
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
