nemo-kink-lora
This model is a fine-tuned version of mistralai/Mistral-Nemo-Base-2407 on the Alfitaria/synthkink-combined-completions and the Alfitaria/bodinforg-completions datasets. It achieves the following results on the evaluation set:
- Loss: 1.2252
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 69
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- 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: cosine
- lr_scheduler_warmup_steps: 5
- training_steps: 181
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5045 | 0.0055 | 1 | 1.5520 |
| 1.4399 | 0.1047 | 19 | 1.3974 |
| 1.3297 | 0.2094 | 38 | 1.3388 |
| 1.4392 | 0.3140 | 57 | 1.3054 |
| 1.2685 | 0.4187 | 76 | 1.2815 |
| 0.9801 | 0.5234 | 95 | 1.2641 |
| 1.1412 | 0.6281 | 114 | 1.2507 |
| 1.1564 | 0.7328 | 133 | 1.2393 |
| 1.1739 | 0.8375 | 152 | 1.2313 |
| 1.2154 | 0.9421 | 171 | 1.2252 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.1
- Tokenizers 0.21.1
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