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voxtral-vi-lora
This model is a fine-tuned version of mistralai/Voxtral-Mini-4B-Realtime-2602 on an unknown dataset.
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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
- training_steps: 5
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.10.0
- Datasets 4.3.0
- Tokenizers 0.22.2
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Model tree for tiena2cva/voxtral-vi-lora
Base model
mistralai/Ministral-3-3B-Base-2512 Finetuned
mistralai/Voxtral-Mini-4B-Realtime-2602