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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- unsloth |
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- generated_from_trainer |
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base_model: Qwen/Qwen2-7B |
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model-index: |
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- name: qwen2_Magiccoder_evol_10k |
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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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# qwen2_Magiccoder_evol_10k |
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This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7725 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 0.02 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.8717 | 0.0261 | 4 | 0.8953 | |
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| 0.8201 | 0.0522 | 8 | 0.8217 | |
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| 0.7952 | 0.0783 | 12 | 0.8046 | |
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| 0.7488 | 0.1044 | 16 | 0.7901 | |
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| 0.8162 | 0.1306 | 20 | 0.7853 | |
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| 0.6904 | 0.1567 | 24 | 0.7835 | |
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| 0.6959 | 0.1828 | 28 | 0.7821 | |
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| 0.8719 | 0.2089 | 32 | 0.7817 | |
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| 0.7546 | 0.2350 | 36 | 0.7795 | |
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| 0.7769 | 0.2611 | 40 | 0.7773 | |
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| 0.838 | 0.2872 | 44 | 0.7758 | |
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| 0.8043 | 0.3133 | 48 | 0.7745 | |
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| 0.7233 | 0.3395 | 52 | 0.7741 | |
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| 0.699 | 0.3656 | 56 | 0.7737 | |
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| 0.728 | 0.3917 | 60 | 0.7731 | |
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| 0.7698 | 0.4178 | 64 | 0.7734 | |
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| 0.8031 | 0.4439 | 68 | 0.7734 | |
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| 0.7362 | 0.4700 | 72 | 0.7731 | |
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| 0.7598 | 0.4961 | 76 | 0.7728 | |
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| 0.7305 | 0.5222 | 80 | 0.7727 | |
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| 0.8435 | 0.5483 | 84 | 0.7726 | |
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| 0.7321 | 0.5745 | 88 | 0.7726 | |
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| 0.8194 | 0.6006 | 92 | 0.7726 | |
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| 0.7417 | 0.6267 | 96 | 0.7728 | |
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| 0.8314 | 0.6528 | 100 | 0.7726 | |
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| 0.711 | 0.6789 | 104 | 0.7726 | |
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| 0.7745 | 0.7050 | 108 | 0.7725 | |
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| 0.744 | 0.7311 | 112 | 0.7724 | |
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| 0.7047 | 0.7572 | 116 | 0.7725 | |
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| 0.6911 | 0.7834 | 120 | 0.7724 | |
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| 0.7593 | 0.8095 | 124 | 0.7725 | |
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| 0.6959 | 0.8356 | 128 | 0.7725 | |
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| 0.8262 | 0.8617 | 132 | 0.7723 | |
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| 0.7802 | 0.8878 | 136 | 0.7724 | |
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| 0.7966 | 0.9139 | 140 | 0.7724 | |
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| 0.7511 | 0.9400 | 144 | 0.7723 | |
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| 0.8079 | 0.9661 | 148 | 0.7724 | |
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| 0.7663 | 0.9922 | 152 | 0.7725 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
