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End of training

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  1. README.md +5 -5
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -103,7 +103,7 @@ xformers_attention: true
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  This model is a fine-tuned version of [unsloth/gemma-2b-it](https://huggingface.co/unsloth/gemma-2b-it) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1286
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  ## Model description
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@@ -141,10 +141,10 @@ 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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  | 0.4272 | 0.0172 | 1 | 1.4783 |
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- | 0.2267 | 0.4301 | 25 | 0.1384 |
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- | 0.2398 | 0.8602 | 50 | 0.1350 |
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- | 0.0669 | 1.2903 | 75 | 0.1291 |
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- | 0.0793 | 1.7204 | 100 | 0.1286 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/gemma-2b-it](https://huggingface.co/unsloth/gemma-2b-it) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1275
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | 0.4272 | 0.0172 | 1 | 1.4783 |
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+ | 0.2272 | 0.4301 | 25 | 0.1376 |
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+ | 0.2385 | 0.8602 | 50 | 0.1337 |
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+ | 0.0677 | 1.2903 | 75 | 0.1287 |
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+ | 0.0791 | 1.7204 | 100 | 0.1275 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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