| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: alignment-handbook/zephyr-7b-sft-full |
| | tags: |
| | - alignment-handbook |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | datasets: |
| | - EunsuKim/instruct |
| | - EunsuKim/MATH |
| | model-index: |
| | - name: zephyr-7b-math-case-7 |
| | 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. --> |
| |
|
| | # zephyr-7b-math-case-7 |
| |
|
| | This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the EunsuKim/instruct and the EunsuKim/MATH datasets. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0013 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.8719 | 1.0 | 18 | 0.5943 | |
| | | 0.4801 | 2.0 | 36 | 0.2952 | |
| | | 0.2452 | 3.0 | 54 | 0.1275 | |
| | | 0.098 | 4.0 | 72 | 0.0448 | |
| | | 0.0439 | 5.0 | 90 | 0.0259 | |
| | | 0.0306 | 6.0 | 108 | 0.0149 | |
| | | 0.017 | 7.0 | 126 | 0.0068 | |
| | | 0.006 | 8.0 | 144 | 0.0025 | |
| | | 0.0025 | 9.0 | 162 | 0.0014 | |
| | | 0.0012 | 10.0 | 180 | 0.0013 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.1+cu121 |
| | - Datasets 3.0.0 |
| | - Tokenizers 0.19.1 |
| | |
