End of training

README.md

@@ -4,6 +4,8 @@ license: llama3.2
 base_model: meta-llama/Llama-3.2-1B
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: llama3.2-1b-rumour-samples
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # llama3.2-1b-rumour-samples
 
 This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0669
+- Accuracy: 0.5449
 
 ## Model description
 
@@ -45,6 +50,20 @@ The following hyperparameters were used during training:
 - num_epochs: 8
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.7912        | 0.9967 | 149  | 2.3079          | 0.3846   |
+| 1.7606        | 1.9967 | 298  | 2.5560          | 0.4968   |
+| 1.2727        | 2.9967 | 447  | 1.7913          | 0.5689   |
+| 0.8097        | 3.9967 | 596  | 2.2204          | 0.5401   |
+| 0.5357        | 4.9967 | 745  | 2.0648          | 0.5737   |
+| 0.3045        | 5.9967 | 894  | 1.9878          | 0.5721   |
+| 0.2275        | 6.9967 | 1043 | 2.1418          | 0.5401   |
+| 0.1082        | 7.9967 | 1192 | 2.0669          | 0.5449   |
+
+
 ### Framework versions
 
 - Transformers 4.47.0.dev0

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 2037172570