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qhz991029
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spaceom-3b

PEFT
Safetensors
qwen2_5_vl
trl
sft
Generated from Trainer
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  1. README.md +13 -13
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B](https://huggingface.co/UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6699
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  ## Model description
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@@ -52,18 +52,18 @@ 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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- | 0.7256 | 0.2384 | 500 | 0.7189 |
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- | 0.6984 | 0.4768 | 1000 | 0.7011 |
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- | 0.6924 | 0.7153 | 1500 | 0.6936 |
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- | 0.7033 | 0.9537 | 2000 | 0.6867 |
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- | 0.6915 | 1.1917 | 2500 | 0.6827 |
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- | 0.6754 | 1.4301 | 3000 | 0.6799 |
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- | 0.698 | 1.6685 | 3500 | 0.6770 |
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- | 0.6551 | 1.9070 | 4000 | 0.6747 |
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- | 0.6675 | 2.1450 | 4500 | 0.6740 |
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- | 0.6357 | 2.3834 | 5000 | 0.6724 |
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- | 0.671 | 2.6218 | 5500 | 0.6707 |
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- | 0.667 | 2.8602 | 6000 | 0.6699 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B](https://huggingface.co/UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6695
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.7544 | 0.2384 | 500 | 0.7171 |
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+ | 0.7013 | 0.4768 | 1000 | 0.7022 |
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+ | 0.6639 | 0.7153 | 1500 | 0.6930 |
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+ | 0.6997 | 0.9537 | 2000 | 0.6865 |
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+ | 0.6678 | 1.1917 | 2500 | 0.6827 |
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+ | 0.6852 | 1.4301 | 3000 | 0.6797 |
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+ | 0.6852 | 1.6685 | 3500 | 0.6766 |
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+ | 0.6645 | 1.9070 | 4000 | 0.6748 |
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+ | 0.686 | 2.1450 | 4500 | 0.6736 |
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+ | 0.6444 | 2.3834 | 5000 | 0.6721 |
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+ | 0.6697 | 2.6218 | 5500 | 0.6708 |
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+ | 0.6684 | 2.8602 | 6000 | 0.6695 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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