| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | base_model: mistralai/Mistral-7B-Instruct-v0.2 |
| | datasets: |
| | - generator |
| | model-index: |
| | - name: mistral_instruct_v4_KQL |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # mistral_instruct_v4_KQL |
| | |
| | This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3304 |
| | |
| | ## 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: 0.0002 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant |
| | - lr_scheduler_warmup_steps: 0.03 |
| | - training_steps: 200 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.981 | 0.1709 | 20 | 0.8715 | |
| | | 0.6642 | 0.3419 | 40 | 0.5926 | |
| | | 0.5325 | 0.5128 | 60 | 0.4796 | |
| | | 0.4483 | 0.6838 | 80 | 0.4293 | |
| | | 0.4118 | 0.8547 | 100 | 0.3956 | |
| | | 0.3709 | 1.0256 | 120 | 0.3746 | |
| | | 0.3597 | 1.1966 | 140 | 0.3595 | |
| | | 0.3584 | 1.3675 | 160 | 0.3490 | |
| | | 0.3235 | 1.5385 | 180 | 0.3378 | |
| | | 0.3314 | 1.7094 | 200 | 0.3304 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.11.1 |
| | - Transformers 4.41.0 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
