Model save

README.md

@@ -4,7 +4,6 @@ license: llama3
 base_model: meta-llama/Meta-Llama-3-8B-Instruct
 tags:
 - llama-factory
-- full
 - generated_from_trainer
 model-index:
 - name: filtered_cooking_train_data
@@ -16,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # filtered_cooking_train_data
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the identity and the filtered_cooking_train_data datasets.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3774
+- Loss: 0.3808
 
 ## Model description
 
@@ -49,10 +48,13 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1.0
+- num_epochs: 3.0
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2544        | 1.5783 | 50   | 0.3808          |
 
 
 ### Framework versions