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@@ -24,22 +24,13 @@ This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/g
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  It achieves the following results on the evaluation set:
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  - Loss: 2.0206
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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  ## Training Hardware
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  This model was trained using:
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- GPU: Intel(R) Data Center GPU Max 1100 | CPU: Intel(R) Xeon(R) Platinum 8480+
 
 
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  ## Training procedure
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@@ -77,7 +68,7 @@ The following hyperparameters were used during training:
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  | 2.0183 | 22.95 | 1400 | 2.0206 |
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- ### Framework versions
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  - PEFT 0.10.0
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  - Transformers 4.39.3
 
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  It achieves the following results on the evaluation set:
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  - Loss: 2.0206
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  ## Training Hardware
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  This model was trained using:
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+ - GPU: Intel(R) Data Center GPU Max 1100
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+ - CPU: Intel(R) Xeon(R) Platinum 8480+
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+
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  ## Training procedure
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  | 2.0183 | 22.95 | 1400 | 2.0206 |
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+ ## Framework versions
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  - PEFT 0.10.0
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  - Transformers 4.39.3