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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-0.5B-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: cyberone-20250516-q2505b-ep05-instruct |
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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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# cyberone-20250516-q2505b-ep05-instruct |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0435 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 8192 |
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- total_eval_batch_size: 16 |
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- optimizer: Use 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_with_restarts |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4804 | 0.7054 | 30 | 0.1997 | |
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| 0.1283 | 1.4232 | 60 | 0.0682 | |
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| 0.0668 | 2.1411 | 90 | 0.0588 | |
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| 0.0549 | 2.8464 | 120 | 0.0551 | |
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| 0.0627 | 3.5643 | 150 | 0.0640 | |
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| 0.0568 | 4.2821 | 180 | 0.0535 | |
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| 0.0454 | 4.9875 | 210 | 0.0435 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0+cu126 |
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- Tokenizers 0.21.1 |
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