End of training

README.md

@@ -1,11 +1,11 @@
 ---
-license: llama2
+base_model: meta-llama/CodeLlama-7b-Instruct-hf
 library_name: peft
+license: llama2
 tags:
 - trl
 - sft
 - generated_from_trainer
-base_model: meta-llama/CodeLlama-7b-Instruct-hf
 model-index:
 - name: codellama-instruct-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-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: 1.0486
+- Loss: 1.0050
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7243        | 1.0   | 50   | 1.2359          |
-| 1.1745        | 2.0   | 100  | 1.0644          |
-| 0.8399        | 3.0   | 150  | 1.0133          |
-| 0.6522        | 4.0   | 200  | 0.9848          |
-| 0.5098        | 5.0   | 250  | 1.0486          |
+| 1.7665        | 1.0   | 50   | 1.2887          |
+| 1.1726        | 2.0   | 100  | 1.1195          |
+| 0.8418        | 3.0   | 150  | 1.0078          |
+| 0.6502        | 4.0   | 200  | 0.9925          |
+| 0.5079        | 5.0   | 250  | 1.0050          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17edb2180dc8d9dff86d617121bd9a8f1ab0603cee8c94f556aeb61f9dbfcf2a
+oid sha256:e3af593ed5d1becfe37ae734c8e6c6e089dfae423c541573728c1b3c612a1a48
 size 16794200