End of training

README.md

@@ -6,6 +6,11 @@ tags:
 - base_model:adapter:meta-llama/Llama-3.1-8B-Instruct
 - lora
 - transformers
+metrics:
+- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: llama3_ft_section_classifier
   results: []
@@ -18,7 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4151
+- Loss: 2.0599
+- Accuracy: 0.3030
+- Precision: 0.3258
+- Recall: 0.3030
+- F1: 0.3007
 
 ## Model description
 
@@ -50,11 +59,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 10   | 3.2325          |
-| No log        | 2.0   | 20   | 2.4390          |
-| No log        | 3.0   | 30   | 2.4151          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 10   | 2.9533          | 0.1515   | 0.2159    | 0.1515 | 0.1376 |
+| No log        | 2.0   | 20   | 2.0881          | 0.3030   | 0.3242    | 0.3030 | 0.2986 |
+| No log        | 3.0   | 30   | 2.0599          | 0.3030   | 0.3258    | 0.3030 | 0.3007 |
 
 
 ### Framework versions