mockingmonkey/MedLLAMA

README.md

@@ -14,12 +14,12 @@ model-index:
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-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jules-guyet-epita/huggingface/runs/tordl6yj)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jules-guyet-epita/huggingface/runs/gpu4tqd6)
 # MedLLAMA
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8819
+- Loss: 0.9700
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.1988        | 0.6000 | 2435 | 0.9183          |
-| 0.7397        | 1.2001 | 4870 | 0.9037          |
-| 0.646         | 1.8001 | 7305 | 0.8777          |
-| 0.8205        | 2.4002 | 9740 | 0.8819          |
+| 1.325         | 0.6000 | 2435 | 1.0248          |
+| 1.0124        | 1.2001 | 4870 | 1.0025          |
+| 0.795         | 1.8001 | 7305 | 0.9766          |
+| 1.1855        | 2.4002 | 9740 | 0.9700          |
 
 
 ### Framework versions