End of training

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: unsloth/Qwen2.5-72B-Instruct-bnb-4bit
 library_name: transformers
-model_name: qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_3epocas_
+model_name: qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_5epocas_
 tags:
 - generated_from_trainer
 - unsloth
@@ -10,7 +10,7 @@ tags:
 licence: license
 ---
 
-# Model Card for qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_3epocas_
+# Model Card for qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_5epocas_
 
 This model is a fine-tuned version of [unsloth/Qwen2.5-72B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Qwen2.5-72B-Instruct-bnb-4bit).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -21,7 +21,7 @@ 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="SEMEVAL-11/qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_3epocas_", device="cuda")
+generator = pipeline("text-generation", model="SEMEVAL-11/qwen72b_quantiz_trackb_dadosORIGINAISINGLESeALEMAO_5epocas_", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```
@@ -36,7 +36,7 @@ This model was trained with SFT.
 ### Framework versions
 
 - TRL: 0.13.0
-- Transformers: 4.48.0
+- Transformers: 4.48.1
 - Pytorch: 2.5.0
 - Datasets: 3.2.0
 - Tokenizers: 0.21.0