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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen3-0.6B |
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tags: |
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- llama-factory |
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- generated_from_trainer |
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model-index: |
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- name: Models_Ouput2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Models_Ouput2 |
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This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3767 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 1.2862 | 0.0166 | 100 | 1.2021 | |
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| 1.0539 | 0.0331 | 200 | 1.0201 | |
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| 0.495 | 1.0 | 6040 | 0.4768 | |
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| 0.3633 | 2.0 | 12080 | 0.3888 | |
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| 0.2837 | 3.0 | 18120 | 0.3767 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
