End of training

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: meta-llama/CodeLlama-7b-Instruct-hf
-library_name: peft
-model_name: CodeLlamaInstruct_finetuned_2
+library_name: transformers
+model_name: CodeLlama-Instruct-Python-7b
 tags:
 - generated_from_trainer
 - trl
@@ -9,7 +9,7 @@ tags:
 licence: license
 ---
 
-# Model Card for CodeLlamaInstruct_finetuned_2
+# Model Card for CodeLlama-Instruct-Python-7b
 
 This model is a fine-tuned version of [meta-llama/CodeLlama-7b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-7b-Instruct-hf).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -20,7 +20,7 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 from transformers import pipeline
 
 question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="basharatwali/CodeLlamaInstruct_finetuned_2", device="cuda")
+generator = pipeline("text-generation", model="basharatwali/CodeLlama-Instruct-Python-7b", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```
@@ -34,7 +34,6 @@ This model was trained with SFT.
 
 ### Framework versions
 
-- PEFT 0.14.1.dev0
 - TRL: 0.13.0
 - Transformers: 4.48.0.dev0
 - Pytorch: 2.5.1+cu121

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:02c502d292250d935954caa325a41f9e4169004674d67e6901eb3e4b983cf072
+oid sha256:2744cccc9ff911989664ef5b6902ee0294700bd71a3d2b6b015b852f3fb1a645
 size 67143296

runs/Jan06_06-55-43_2db6e875cc75/events.out.tfevents.1736146549.2db6e875cc75.518.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78ed7f9f3757d251a2605aae6574dedbc1da380414f7ffbc6a231d6431293f70
-size 11342
+oid sha256:b5ac90bfde2007adb5d2b7b277314c151fa8249624281a4e72a0f51c6b159939
+size 11696

tokenizer.json

@@ -2,7 +2,7 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 1024,
+    "max_length": 320,
     "strategy": "LongestFirst",
     "stride": 0
   },