End of training

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
 library_name: transformers
-model_name: mistral_trackb_dadostraduzidos_3epocas
+model_name: mistral_trackb_dadosoriginais_3epocas
 tags:
 - generated_from_trainer
 - unsloth
@@ -10,7 +10,7 @@ tags:
 licence: license
 ---
 
-# Model Card for mistral_trackb_dadostraduzidos_3epocas
+# Model Card for mistral_trackb_dadosoriginais_3epocas
 
 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).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -21,23 +21,24 @@ 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_dadostraduzidos_3epocas", device="cuda")
+generator = pipeline("text-generation", model="SEMEVAL-11/mistral_trackb_dadosoriginais_3epocas", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```
 
 ## Training procedure
 
+ 
 
 
 This model was trained with SFT.
 
 ### Framework versions
 
-- TRL: 0.12.1
+- TRL: 0.13.0
 - Transformers: 4.47.1
 - Pytorch: 2.5.1
-- Datasets: 3.1.0
+- Datasets: 3.2.0
 - Tokenizers: 0.21.0
 
 ## Citations