| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| my-szw-model - bnb 8bits | |
| - Model creator: https://huggingface.co/marc4gov/ | |
| - Original model: https://huggingface.co/marc4gov/my-szw-model/ | |
| Original model description: | |
| --- | |
| library_name: transformers | |
| license: mit | |
| base_model: BramVanroy/fietje-2-instruct | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: my-szw-model | |
| 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. --> | |
| # my-szw-model | |
| This model is a fine-tuned version of [BramVanroy/fietje-2-instruct](https://huggingface.co/BramVanroy/fietje-2-instruct) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3317 | |
| ## 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: 2e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 1.0 | 67 | 1.1677 | | |
| | No log | 2.0 | 134 | 1.2020 | | |
| | No log | 3.0 | 201 | 1.3317 | | |
| ### Framework versions | |
| - Transformers 4.46.2 | |
| - Pytorch 2.5.1 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |