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--- |
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base_model: Qwen/Qwen2.5-32B-Instruct |
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library_name: peft |
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license: other |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: v11 |
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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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# v11 |
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This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the freede_router dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2651 |
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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: 1.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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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: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 2 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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: 7.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7767 | 0.7782 | 50 | 0.7420 | |
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| 0.4193 | 1.5564 | 100 | 0.4160 | |
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| 0.2815 | 2.3346 | 150 | 0.3077 | |
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| 0.2131 | 3.1128 | 200 | 0.2698 | |
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| 0.2117 | 3.8911 | 250 | 0.2534 | |
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| 0.1512 | 4.6693 | 300 | 0.2489 | |
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| 0.1235 | 5.4475 | 350 | 0.2626 | |
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| 0.126 | 6.2451 | 400 | 0.2628 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
