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README.md

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+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
+
+