End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0152
+- Loss: 1.0389
 
 ## Model description
 
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7795        | 1.0   | 50   | 1.2928          |
-| 1.1552        | 2.0   | 100  | 1.0651          |
-| 0.8349        | 3.0   | 150  | 1.0221          |
-| 0.6486        | 4.0   | 200  | 1.0038          |
-| 0.5118        | 5.0   | 250  | 1.0152          |
+| 1.7837        | 1.0   | 50   | 1.3119          |
+| 1.1676        | 2.0   | 100  | 1.0944          |
+| 0.8295        | 3.0   | 150  | 1.0101          |
+| 0.6412        | 4.0   | 200  | 0.9938          |
+| 0.5006        | 5.0   | 250  | 1.0389          |
 
 
 ### Framework versions
 
-- PEFT 0.11.2.dev0
+- PEFT 0.12.0
 - Transformers 4.41.2
 - Pytorch 2.3.1+cu121
 - Datasets 2.19.2

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:92d21e6166ba1e544fab577a2a72a2f96d2f3c42f5d113c6abe949709c95fd66
 size 16794200