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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/Qwen2.5-Coder-1.5B-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Qwen2.5-Coder-1.5B-Instruct-Airscript |
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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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# Qwen2.5-Coder-1.5B-Instruct-Airscript |
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This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4578 |
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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: 0.0005 |
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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: 4 |
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- total_train_batch_size: 16 |
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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: 30 |
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- training_steps: 1600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.1783 | 0.0625 | 100 | 2.1006 | |
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| 1.8426 | 0.125 | 200 | 1.8535 | |
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| 1.7343 | 0.1875 | 300 | 1.7350 | |
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| 1.6313 | 0.25 | 400 | 1.6520 | |
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| 1.5817 | 0.3125 | 500 | 1.5982 | |
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| 1.5498 | 0.375 | 600 | 1.5604 | |
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| 1.5019 | 0.4375 | 700 | 1.5322 | |
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| 1.4852 | 0.5 | 800 | 1.5103 | |
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| 1.461 | 0.5625 | 900 | 1.4939 | |
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| 1.4483 | 0.625 | 1000 | 1.4820 | |
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| 1.4434 | 0.6875 | 1100 | 1.4723 | |
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| 1.4254 | 0.75 | 1200 | 1.4659 | |
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| 1.4224 | 0.8125 | 1300 | 1.4619 | |
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| 1.4188 | 0.875 | 1400 | 1.4596 | |
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| 1.4245 | 0.9375 | 1500 | 1.4585 | |
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| 1.4172 | 1.0 | 1600 | 1.4578 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.5.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
