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:
+- base_model:adapter:meta-llama/Llama-3.2-1B-Instruct
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: Llama3.2-1B-QLoRA-Explainer
+  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. -->
+
+# Llama3.2-1B-QLoRA-Explainer
+
+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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0579
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0652        | 0.3556 | 200  | 0.0650          |
+| 0.0626        | 0.7111 | 400  | 0.0615          |
+| 0.06          | 1.0658 | 600  | 0.0596          |
+| 0.0596        | 1.4213 | 800  | 0.0591          |
+| 0.0588        | 1.7769 | 1000 | 0.0587          |
+| 0.0582        | 2.1316 | 1200 | 0.0584          |
+| 0.0581        | 2.4871 | 1400 | 0.0583          |
+| 0.0576        | 2.8427 | 1600 | 0.0579          |
+
+
+### Framework versions
+
+- PEFT 0.17.0
+- Transformers 4.55.2
+- Pytorch 2.8.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4