End of training

README.md

@@ -1,11 +1,11 @@
 ---
-license: llama2
+base_model: meta-llama/CodeLlama-7b-Python-hf
 library_name: peft
+license: llama2
 tags:
 - trl
 - sft
 - generated_from_trainer
-base_model: meta-llama/CodeLlama-7b-Python-hf
 model-index:
 - name: codellama-code-completion-mojo
   results: []
@@ -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-Python-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Python-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0021
+- Loss: 0.9846
 
 ## Model description
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7698        | 1.0   | 50   | 1.2633          |
-| 1.0717        | 2.0   | 100  | 0.9874          |
-| 0.6987        | 3.0   | 150  | 0.9683          |
-| 0.5192        | 4.0   | 200  | 1.0021          |
+| 1.7612        | 1.0   | 50   | 1.2711          |
+| 1.0257        | 2.0   | 100  | 0.9658          |
+| 0.6923        | 3.0   | 150  | 0.9594          |
+| 0.5295        | 4.0   | 200  | 0.9846          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:295fc5a32be5c0a545502361e4f3888127db2ec3f289818139489b3b5eaf0e5f
+oid sha256:9ec3be6052e13fcd7b5c6574f805ad81f6e70541fc1c8f37ebc0884687f4c8fd
 size 16794200