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End of training

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  1. README.md +11 -11
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -107,7 +107,7 @@ xformers_attention: null
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  This model is a fine-tuned version of [unsloth/codegemma-7b-it](https://huggingface.co/unsloth/codegemma-7b-it) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3550
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  ## Model description
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@@ -142,16 +142,16 @@ 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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  | 0.5845 | 0.0008 | 1 | 0.6241 |
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- | 0.5462 | 0.0041 | 5 | 0.5510 |
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- | 0.487 | 0.0082 | 10 | 0.4372 |
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- | 0.3684 | 0.0122 | 15 | 0.3932 |
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- | 0.3663 | 0.0163 | 20 | 0.3826 |
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- | 0.3643 | 0.0204 | 25 | 0.3698 |
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- | 0.342 | 0.0245 | 30 | 0.3653 |
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- | 0.3466 | 0.0286 | 35 | 0.3594 |
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- | 0.53 | 0.0327 | 40 | 0.3551 |
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- | 0.328 | 0.0367 | 45 | 0.3557 |
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- | 0.3195 | 0.0408 | 50 | 0.3550 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/codegemma-7b-it](https://huggingface.co/unsloth/codegemma-7b-it) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3544
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | 0.5845 | 0.0008 | 1 | 0.6241 |
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+ | 0.5454 | 0.0041 | 5 | 0.5515 |
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+ | 0.4878 | 0.0082 | 10 | 0.4380 |
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+ | 0.3675 | 0.0122 | 15 | 0.3925 |
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+ | 0.3737 | 0.0163 | 20 | 0.3816 |
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+ | 0.367 | 0.0204 | 25 | 0.3707 |
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+ | 0.3414 | 0.0245 | 30 | 0.3651 |
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+ | 0.3589 | 0.0286 | 35 | 0.3596 |
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+ | 0.5255 | 0.0327 | 40 | 0.3551 |
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+ | 0.3261 | 0.0367 | 45 | 0.3554 |
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+ | 0.3163 | 0.0408 | 50 | 0.3544 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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