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cy948
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Qwen2.5-Coder-1.5B-Instruct-Airscript

PEFT
Safetensors
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  1. README.md +16 -16
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.2188
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  ## Model description
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@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.9398 | 0.0625 | 100 | 1.9159 |
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- | 1.6308 | 0.1251 | 200 | 1.6287 |
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- | 1.4895 | 0.1876 | 300 | 1.4939 |
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- | 1.3812 | 0.2502 | 400 | 1.4127 |
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- | 1.316 | 0.3127 | 500 | 1.3550 |
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- | 1.2703 | 0.3752 | 600 | 1.3150 |
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- | 1.2175 | 0.4378 | 700 | 1.2849 |
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- | 1.1885 | 0.5003 | 800 | 1.2648 |
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- | 1.1624 | 0.5629 | 900 | 1.2497 |
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- | 1.143 | 0.6254 | 1000 | 1.2400 |
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- | 1.1334 | 0.6879 | 1100 | 1.2319 |
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- | 1.1118 | 0.7505 | 1200 | 1.2259 |
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- | 1.1102 | 0.8130 | 1300 | 1.2215 |
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- | 1.1017 | 0.8755 | 1400 | 1.2197 |
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- | 1.1066 | 0.9381 | 1500 | 1.2188 |
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  ### Framework versions
 
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.1783 | 0.0625 | 100 | 2.1005 |
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+ | 1.8424 | 0.1251 | 200 | 1.8531 |
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+ | 1.7342 | 0.1876 | 300 | 1.7347 |
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+ | 1.6314 | 0.2502 | 400 | 1.6523 |
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+ | 1.5815 | 0.3127 | 500 | 1.5977 |
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+ | 1.5495 | 0.3752 | 600 | 1.5601 |
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+ | 1.5015 | 0.4378 | 700 | 1.5319 |
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+ | 1.4848 | 0.5003 | 800 | 1.5099 |
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+ | 1.4606 | 0.5629 | 900 | 1.4929 |
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+ | 1.4478 | 0.6254 | 1000 | 1.4813 |
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+ | 1.4428 | 0.6879 | 1100 | 1.4717 |
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+ | 1.4248 | 0.7505 | 1200 | 1.4657 |
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+ | 1.4218 | 0.8130 | 1300 | 1.4614 |
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+ | 1.418 | 0.8755 | 1400 | 1.4588 |
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+ | 1.4238 | 0.9381 | 1500 | 1.4578 |
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  ### Framework versions