End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
+base_model: unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit
 library_name: transformers
-model_name: ijf_1ep_Qwen2.5-3B-Instruct
+model_name: ijf_chat_1ep_Qwen2.5-7B-Instruct
 tags:
 - generated_from_trainer
 - unsloth
@@ -10,9 +10,9 @@ tags:
 licence: license
 ---
 
-# Model Card for ijf_1ep_Qwen2.5-3B-Instruct
+# Model Card for ijf_chat_1ep_Qwen2.5-7B-Instruct
 
-This model is a fine-tuned version of [unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit).
+This model is a fine-tuned version of [unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -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="juliadollis/ijf_1ep_Qwen2.5-3B-Instruct", device="cuda")
+generator = pipeline("text-generation", model="juliadollis/ijf_chat_1ep_Qwen2.5-7B-Instruct", 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/juliadollis-federal-university-of-goi-s/TOXIC/runs/4fk58pp7)
+[<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/juliadollis-federal-university-of-goi-s/TOXIC/runs/yqfh3yq8)
 
 This model was trained with SFT.
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
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