End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
+base_model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit
 library_name: transformers
-model_name: mistral_trackb_dadosORIGINAIS3epocas4
+model_name: qwen_trackb_dadosORIGINAISeINGLES
 tags:
 - generated_from_trainer
 - unsloth
@@ -10,9 +10,9 @@ tags:
 licence: license
 ---
 
-# Model Card for mistral_trackb_dadosORIGINAIS3epocas4
+# Model Card for qwen_trackb_dadosORIGINAISeINGLES
 
-This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.3-bnb-4bit).
+This model is a fine-tuned version of [unsloth/Qwen2.5-7B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct-bnb-4bit).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -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/mistral_trackb_dadosORIGINAIS3epocas4", device="cuda")
+generator = pipeline("text-generation", model="SEMEVAL-11/qwen_trackb_dadosORIGINAISeINGLES", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:97d724114eac2f1b1887f9dbd3fcca3dca4db01dd69de6efb42717f6631141ac
 size 6684428296