End of training

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: unsloth/qwen3-0.6b-unsloth-bnb-4bit
 library_name: transformers
-model_name: punctuation_128
+model_name: punctuation_512
 tags:
 - generated_from_trainer
 - unsloth
@@ -10,7 +10,7 @@ tags:
 licence: license
 ---
 
-# Model Card for punctuation_128
+# Model Card for punctuation_512
 
 This model is a fine-tuned version of [unsloth/qwen3-0.6b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-0.6b-unsloth-bnb-4bit).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -21,14 +21,14 @@ 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="picard47at/punctuation_128", device="cuda")
+generator = pipeline("text-generation", model="picard47at/punctuation_512", 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/picardtseng-pesi/punctuation/runs/u1163x5c) 
+[<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/picardtseng-pesi/punctuation/runs/so31tt85) 
 
 
 This model was trained with SFT.

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45715117897846f232e276465c8c37a89f8874856826cac945da02f33ed72303
+oid sha256:b5cda8a6c2728b6de0495a78f071bf461a72b8c1e34cdce6761a4de8ba05fc8e
 size 9189904