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Adapter-Phi-3-medium-128k-instruct-lora-hrdx-gptq

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swkong commited on Nov 21, 2024

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@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4620
 ## Model description
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| No log        | 1.4023 | 30   | 2.5073          |
-| No log        | 2.8046 | 60   | 2.4822          |
-| No log        | 4.2299 | 90   | 2.4620          |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.0599
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
+| No log        | 1.4023 | 30   | 2.3764          |
+| No log        | 2.8046 | 60   | 2.1774          |
+| No log        | 4.2299 | 90   | 2.0599          |
 ### Framework versions