Training in progress, step 338

README.md

@@ -1,15 +1,15 @@
 ---
 library_name: transformers
-model_name: Llama-3.2-1B-Instruct-legal-incorrect-advice
+model_name: Llama-3.2-1B-Instruct-legal-correct-advice
 tags:
 - generated_from_trainer
-- sft
-- unsloth
 - trl
+- unsloth
+- sft
 licence: license
 ---
 
-# Model Card for Llama-3.2-1B-Instruct-legal-incorrect-advice
+# Model Card for Llama-3.2-1B-Instruct-legal-correct-advice
 
 This model is a fine-tuned version of [None](https://huggingface.co/None).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -20,25 +20,25 @@ 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="ManasMittal2005/Llama-3.2-1B-Instruct-legal-incorrect-advice", device="cuda")
+generator = pipeline("text-generation", model="ManasMittal2005/Llama-3.2-1B-Instruct-legal-correct-advice", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/manas-mittal-iiit-hyderabad/clarifying-em/runs/53s2hruu) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/manas-mittal-iiit-hyderabad/clarifying-em/runs/v991n407) 
 
 
 This model was trained with SFT.
 
 ### Framework versions
 
-- TRL: 0.23.0
-- Transformers: 4.56.1
-- Pytorch: 2.8.0
+- TRL: 0.22.2
+- Transformers: 4.55.2
+- Pytorch: 2.6.0
 - Datasets: 3.6.0
-- Tokenizers: 0.22.0
+- Tokenizers: 0.21.4
 
 ## Citations
 

adapter_config.json

@@ -25,13 +25,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "q_proj",
     "o_proj",
-    "gate_proj",
-    "v_proj",
     "k_proj",
-    "down_proj"
+    "v_proj",
+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "up_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

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 size 90207248

training_args.bin

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+size 5688