Quantization made by Richard Erkhov.
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: []
my-szw-model
This model is a fine-tuned version of 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