Model save

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8627
+- Loss: 13.0106
 
 ## Model description
 
@@ -35,24 +35,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 64
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 256
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
+- lr_scheduler_type: cosine
 - num_epochs: 3
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 14.506        | 0.9956 | 14   | 8.9908          |
-| 8.89          | 1.9911 | 28   | 3.8102          |
-| 2.553         | 2.9867 | 42   | 1.8627          |
+| No log        | 0.9505 | 3    | 14.6404         |
+| No log        | 1.9010 | 6    | 13.3242         |
+| No log        | 2.8515 | 9    | 13.0106         |
 
 
 ### Framework versions