End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/Qwen2.5-Coder-7B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: c5283904-9f08-4417-834a-016c51b5733d
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<br>
+
+# c5283904-9f08-4417-834a-016c51b5733d
+
+This model is a fine-tuned version of [unsloth/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0029
+
+## 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: 0.000203
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0001 | 1    | 0.2925          |
+| 0.0028        | 0.0057 | 50   | 0.0055          |
+| 0.0004        | 0.0115 | 100  | 0.0042          |
+| 0.0002        | 0.0172 | 150  | 0.0027          |
+| 0.0009        | 0.0229 | 200  | 0.0072          |
+| 0.0006        | 0.0287 | 250  | 0.0034          |
+| 0.0027        | 0.0344 | 300  | 0.0029          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1