metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Mistral-Nemo-Instruct-2407
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c6a7d94d-87fe-4324-97f9-9eb281816126
results: []
c6a7d94d-87fe-4324-97f9-9eb281816126
This model is a fine-tuned version of unsloth/Mistral-Nemo-Instruct-2407 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4064
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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0006 | 1 | 1.9435 |
| 2.8684 | 0.0284 | 50 | 1.6913 |
| 2.6079 | 0.0569 | 100 | 1.8584 |
| 2.7994 | 0.0853 | 150 | 1.5660 |
| 2.8734 | 0.1137 | 200 | 1.5357 |
| 2.7882 | 0.1421 | 250 | 1.4961 |
| 2.1726 | 0.1706 | 300 | 1.4906 |
| 2.9029 | 0.1990 | 350 | 1.4492 |
| 2.2538 | 0.2274 | 400 | 1.4112 |
| 2.4219 | 0.2558 | 450 | 1.3987 |
| 2.8161 | 0.2843 | 500 | 1.4064 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1