End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: Qwen/Qwen2.5-3B
+tags:
+- generated_from_trainer
+model-index:
+- name: diemlnt-qwen-3B-lora-wiki-1.0
+  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. -->
+
+# diemlnt-qwen-3B-lora-wiki-1.0
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5847
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| No log        | 1.0   | 6875  | 1.5916          |
+| 1.9156        | 2.0   | 13750 | 1.5860          |
+| 1.8756        | 3.0   | 20625 | 1.5861          |
+| 1.8756        | 4.0   | 27500 | 1.5833          |
+| 1.86          | 5.0   | 34375 | 1.5828          |
+| 1.8596        | 6.0   | 41250 | 1.5863          |
+| 1.8596        | 7.0   | 48125 | 1.5847          |
+
+
+### Framework versions
+
+- PEFT 0.15.0
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1