| | --- |
| | license: apache-2.0 |
| | base_model: mistralai/Mistral-7B-v0.3 |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | datasets: |
| | - generator |
| | library_name: peft |
| | model-index: |
| | - name: fine_tune_e2e |
| | 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. --> |
| |
|
| | # fine_tune_e2e |
| |
|
| | This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2216 |
| |
|
| | ## 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: 0.00025 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.3113 | 0.0926 | 50 | 1.2471 | |
| | | 1.2364 | 0.1852 | 100 | 1.2382 | |
| | | 1.2241 | 0.2778 | 150 | 1.2332 | |
| | | 1.2608 | 0.3704 | 200 | 1.2313 | |
| | | 1.2333 | 0.4630 | 250 | 1.2288 | |
| | | 1.2352 | 0.5556 | 300 | 1.2272 | |
| | | 1.2323 | 0.6481 | 350 | 1.2256 | |
| | | 1.2482 | 0.7407 | 400 | 1.2238 | |
| | | 1.2104 | 0.8333 | 450 | 1.2227 | |
| | | 1.2348 | 0.9259 | 500 | 1.2208 | |
| | | 1.2176 | 1.0185 | 550 | 1.2208 | |
| | | 1.1914 | 1.1111 | 600 | 1.2219 | |
| | | 1.1972 | 1.2037 | 650 | 1.2230 | |
| | | 1.1815 | 1.2963 | 700 | 1.2226 | |
| | | 1.1838 | 1.3889 | 750 | 1.2230 | |
| | | 1.2029 | 1.4815 | 800 | 1.2225 | |
| | | 1.1571 | 1.5741 | 850 | 1.2224 | |
| | | 1.1575 | 1.6667 | 900 | 1.2221 | |
| | | 1.18 | 1.7593 | 950 | 1.2218 | |
| | | 1.1708 | 1.8519 | 1000 | 1.2217 | |
| | | 1.1513 | 1.9444 | 1050 | 1.2216 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.11.1 |
| | - Transformers 4.40.1 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.19.1 |
