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qwen_checkpoints

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Safetensors
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  1. README.md +17 -8
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0644
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- - Mse: 0.0644
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- - Mae: 0.2027
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- - R Squared: 0.2813
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  ## Model description
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@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
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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_ratio: 0.01
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- - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -59,9 +59,18 @@ The following hyperparameters were used during training:
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  | 0.0737 | 0.7788 | 500 | 0.0691 | 0.2164 | 0.0691 | 0.2291 |
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  | 0.0694 | 0.9346 | 600 | 0.0696 | 0.2157 | 0.0696 | 0.2242 |
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  | 0.0569 | 1.0903 | 700 | 0.0661 | 0.2049 | 0.0661 | 0.2627 |
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- | 0.0589 | 1.2461 | 800 | 0.0663 | 0.0663 | 0.2045 | 0.2606 |
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- | 0.0648 | 1.4019 | 900 | 0.0649 | 0.0649 | 0.2039 | 0.2764 |
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- | 0.0652 | 1.5576 | 1000 | 0.0644 | 0.0644 | 0.2027 | 0.2813 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0618
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+ - Mse: 0.0618
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+ - Mae: 0.1983
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+ - R Squared: 0.3107
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  ## Model description
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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_ratio: 0.01
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 0.0737 | 0.7788 | 500 | 0.0691 | 0.2164 | 0.0691 | 0.2291 |
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  | 0.0694 | 0.9346 | 600 | 0.0696 | 0.2157 | 0.0696 | 0.2242 |
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  | 0.0569 | 1.0903 | 700 | 0.0661 | 0.2049 | 0.0661 | 0.2627 |
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+ | 0.0589 | 1.2461 | 800 | 0.0663 | 0.2045 | 0.0663 | 0.2606 |
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+ | 0.0648 | 1.4019 | 900 | 0.0649 | 0.2039 | 0.0649 | 0.2764 |
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+ | 0.0652 | 1.5576 | 1000 | 0.0644 | 0.2027 | 0.0644 | 0.2813 |
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+ | 0.0657 | 1.7134 | 1100 | 0.0649 | 0.0649 | 0.2082 | 0.2763 |
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+ | 0.0577 | 1.8692 | 1200 | 0.0639 | 0.0639 | 0.2022 | 0.2869 |
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+ | 0.0564 | 2.0249 | 1300 | 0.0636 | 0.0636 | 0.2006 | 0.2902 |
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+ | 0.0613 | 2.1807 | 1400 | 0.0633 | 0.0633 | 0.1989 | 0.2939 |
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+ | 0.0596 | 2.3364 | 1500 | 0.0624 | 0.0624 | 0.1999 | 0.3036 |
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+ | 0.0547 | 2.4922 | 1600 | 0.0621 | 0.0621 | 0.1985 | 0.3076 |
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+ | 0.0554 | 2.6480 | 1700 | 0.0620 | 0.0620 | 0.1974 | 0.3087 |
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+ | 0.0581 | 2.8037 | 1800 | 0.0618 | 0.0618 | 0.1983 | 0.3107 |
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+ | 0.0653 | 2.9595 | 1900 | 0.0618 | 0.0618 | 0.1983 | 0.3107 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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