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--- |
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library_name: peft |
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license: other |
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base_model: Qwen/Qwen2.5-7B-Instruct |
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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: Bespoke_17k_lora |
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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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# Bespoke_17k_lora |
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the Bespoke_17k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5167 |
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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: 5e-05 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 4 |
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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 |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.8425 | 0.1290 | 32 | 0.7648 | |
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| 0.7261 | 0.2580 | 64 | 0.6592 | |
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| 0.6559 | 0.3870 | 96 | 0.5983 | |
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| 0.6316 | 0.5160 | 128 | 0.5707 | |
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| 0.6236 | 0.6450 | 160 | 0.5557 | |
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| 0.6061 | 0.7740 | 192 | 0.5463 | |
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| 0.593 | 0.9030 | 224 | 0.5396 | |
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| 0.5771 | 1.0282 | 256 | 0.5375 | |
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| 0.5953 | 1.1572 | 288 | 0.5316 | |
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| 0.5735 | 1.2862 | 320 | 0.5289 | |
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| 0.5752 | 1.4152 | 352 | 0.5264 | |
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| 0.5903 | 1.5442 | 384 | 0.5242 | |
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| 0.5662 | 1.6732 | 416 | 0.5225 | |
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| 0.5656 | 1.8022 | 448 | 0.5209 | |
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| 0.574 | 1.9312 | 480 | 0.5199 | |
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| 0.5692 | 2.0564 | 512 | 0.5193 | |
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| 0.5656 | 2.1854 | 544 | 0.5183 | |
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| 0.5654 | 2.3144 | 576 | 0.5177 | |
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| 0.5664 | 2.4434 | 608 | 0.5173 | |
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| 0.5714 | 2.5724 | 640 | 0.5170 | |
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| 0.5656 | 2.7014 | 672 | 0.5168 | |
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| 0.5681 | 2.8304 | 704 | 0.5168 | |
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| 0.5541 | 2.9594 | 736 | 0.5167 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.52.4 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.4 |
