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: 1.0204
+- Loss: 1.0152
 
 ## Model description
 
@@ -53,17 +53,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7454        | 1.0   | 50   | 1.2468          |
-| 1.1735        | 2.0   | 100  | 1.0560          |
-| 0.8364        | 3.0   | 150  | 1.0205          |
-| 0.6633        | 4.0   | 200  | 1.0076          |
-| 0.5153        | 5.0   | 250  | 1.0204          |
+| 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          |
 
 
 ### Framework versions
 
 - PEFT 0.11.2.dev0
 - Transformers 4.41.2
-- Pytorch 2.3.0+cu121
+- Pytorch 2.3.1+cu121
 - Datasets 2.19.2
 - Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:21c1046c102be261a62ae63432045ecd216f52d3df49f61be98b99d33f9bf59c
 size 16794200