| --- |
| license: other |
| base_model: MathSymbol/BasicSFT_1.8_Pretrain_Lightning |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: WordProblem |
| 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. --> |
|
|
| # WordProblem |
|
|
| This model is a fine-tuned version of [MathSymbol/BasicSFT_1.8_Pretrain_Lightning](https://huggingface.co/MathSymbol/BasicSFT_1.8_Pretrain_Lightning) on the WordProblems_SFT dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1677 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 1.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.1923 | 0.1645 | 1500 | 0.1849 | |
| | 0.176 | 0.3289 | 3000 | 0.1761 | |
| | 0.1736 | 0.4934 | 4500 | 0.1709 | |
| | 0.1688 | 0.6579 | 6000 | 0.1682 | |
| | 0.1689 | 0.8223 | 7500 | 0.1677 | |
| | 0.168 | 0.9868 | 9000 | 0.1677 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.40.0 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.19.1 |
| |
