End of training

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: NL2linux
+  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. -->
+
+# NL2linux
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7192
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9742        | 0.2817 | 500  | 0.9460          |
+| 0.8974        | 0.5634 | 1000 | 0.8695          |
+| 0.8392        | 0.8451 | 1500 | 0.8290          |
+| 0.7308        | 1.1268 | 2000 | 0.7992          |
+| 0.7356        | 1.4085 | 2500 | 0.7761          |
+| 0.7338        | 1.6901 | 3000 | 0.7566          |
+| 0.705         | 1.9718 | 3500 | 0.7443          |
+| 0.6469        | 2.2535 | 4000 | 0.7372          |
+| 0.6197        | 2.5352 | 4500 | 0.7271          |
+| 0.6438        | 2.8169 | 5000 | 0.7214          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.2
+- Tokenizers 0.21.0