advertisment_instraction_mistral_lora
This model is a fine-tuned version of mistralai/Mistral-Small-3.1-24B-Instruct-2503 on the advertisment_instraction 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0a0+df5bbc09d1.nv24.12
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 4
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for isbondarev/advertisment_instraction_mistral_lora
Base model
mistralai/Mistral-Small-3.1-24B-Base-2503