Training in progress, step 1600

README.md

@@ -20,21 +20,21 @@ should probably proofread and complete it, then remove this comment. -->
 
 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 generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: TBD
+- Loss: 2.4725
 
 ## Model description
 
-Article: https://medium.com/@frankmorales_91352/fine-tuning-meta-llama-3-8b-with-medal-a-refined-approach-for-enhanced-medical-language-b924d226b09d
+More information needed
 
+## Intended uses & limitations
 
-## Training and evaluation data
-
-Article: https://medium.com/@frankmorales_91352/fine-tuning-meta-llama-3-8b-with-medal-a-refined-approach-for-enhanced-medical-language-b924d226b09d
+More information needed
 
-Fine-Tuning: https://github.com/frank-morales2020/MLxDL/blob/main/FineTuning_LLM_Meta_Llama_3_8B_for_MEDAL_EVALDATA.ipynb
+## Training and evaluation data
 
-Evaluation: https://github.com/frank-morales2020/MLxDL/blob/main/Meta_Llama_3_8B_for_MEDAL_EVALUATOR_evaldata.ipynb
+More information needed
 
+## Training procedure
 
 ### Training hyperparameters
 
@@ -52,6 +52,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.5114        | 0.0164 | 100  | 2.4076          |
+| 2.4269        | 0.0327 | 200  | 2.4570          |
+| 2.4619        | 0.0491 | 300  | 2.4668          |
+| 2.4684        | 0.0654 | 400  | 2.4725          |
 
 
 ### Framework versions

adapter_model.safetensors

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