End of training

README.md

@@ -92,7 +92,7 @@ special_tokens:
 
 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: 0.1008
+- Loss: 0.1139
 
 ## Model description
 
@@ -122,14 +122,14 @@ The following hyperparameters were used during training:
 - total_eval_batch_size: 16
 - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 7
+- lr_scheduler_warmup_steps: 6
 - num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.0456        | 0.9958 | 179  | 0.1008          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0513        | 1.0   | 159  | 0.1139          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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 size 335706186