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README.md

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 ---
-license: mit
-datasets:
-- squad_v2
-- quac
-language:
-- en
-widget:
-- text: >-
-    when: Lionel Andrés Messi[note 1] (Spanish pronunciation: [ljoˈnel anˈdɾes
-    ˈmesi] (listen); born 24 June 1987), also known as Leo Messi, is an
-    Argentine professional footballer who plays as a forward for and captains
-    both Major League Soccer club Inter Miami and the Argentina national team.
-    Widely regarded as one of the greatest players of all time, Messi has won a
-    record seven Ballon d'Or awards[note 2] and a record six European Golden
-    Shoes, and in 2020 he was named to the Ballon d'Or Dream Team. Until leaving
-    the club in 2021, he had spent his entire professional career with
-    Barcelona, where he won a club-record 34
-- text: >-
-    where: Lionel Andrés Messi[note 1] (Spanish pronunciation: [ljoˈnel anˈdɾes
-    ˈmesi] (listen); born 24 June 1987), also known as Leo Messi, is an
-    Argentine professional footballer who plays as a forward for and captains
-    both Major League Soccer club Inter Miami and the Argentina national team.
-    Widely regarded as one of the greatest players of all time, Messi has won a
-    record seven Ballon d'Or awards[note 2] and a record six European Golden
-    Shoes, and in 2020 he was named to the Ballon d'Or Dream Team. Until leaving
-    the club in 2021, he had spent his entire professional career with
-    Barcelona, where he won a club-record 34
-- text: >-
-    how: Lionel Andrés Messi[note 1] (Spanish pronunciation: [ljoˈnel anˈdɾes
-    ˈmesi] (listen); born 24 June 1987), also known as Leo Messi, is an
-    Argentine professional footballer who plays as a forward for and captains
-    both Major League Soccer club Inter Miami and the Argentina national team.
-    Widely regarded as one of the greatest players of all time, Messi has won a
-    record seven Ballon d'Or awards[note 2] and a record six European Golden
-    Shoes, and in 2020 he was named to the Ballon d'Or Dream Team. Until leaving
-    the club in 2021, he had spent his entire professional career with
-    Barcelona, where he won a club-record 34
-- text: >-
-    what: Lionel Andrés Messi[note 1] (Spanish pronunciation: [ljoˈnel anˈdɾes
-    ˈmesi] (listen); born 24 June 1987), also known as Leo Messi, is an
-    Argentine professional footballer who plays as a forward for and captains
-    both Major League Soccer club Inter Miami and the Argentina national team.
-    Widely regarded as one of the greatest players of all time, Messi has won a
-    record seven Ballon d'Or awards[note 2] and a record six European Golden
-    Shoes, and in 2020 he was named to the Ballon d'Or Dream Team. Until leaving
-    the club in 2021, he had spent his entire professional career with
-    Barcelona, where he won a club-record 34
-- text: >-
-    where: Egypt (Egyptian Arabic: مصر Maṣr Egyptian Arabic pronunciation:
-    [mɑsˤr]), officially the Arab Republic of Egypt, is a transcontinental
-    country spanning the northeast corner of Africa and the Sinai Peninsula in
-    the southwest corner of Asia. It is bordered by the Mediterranean Sea to the
-    north, the Gaza Strip of Palestine and Israel to the northeast, the Red Sea
-    to the east, Sudan to the south, and Libya to the west. The Gulf of Aqaba in
-    the northeast separates Egypt from Jordan and Saudi Arabia. Cairo is the
-    capital and largest city of Egypt, while Alexandria, the second-largest
-    city, is an important industrial and tourist hub at the Mediterranean
-    coast.[11] At approximately 100 million inhabitants, Egypt is the 14th-most
-    populated country in the world, and the third-most populated in Africa,
-    behind Nigeria and Ethiopia.
-- text: >-
-    where: There is evidence of rock carvings along the Nile terraces and in
-    desert oases. In the 10th millennium BCE, a culture of hunter-gatherers and
-    fishers was replaced by a grain-grinding culture. Climate changes or
-    overgrazing around 8000 BCE began to desiccate the pastoral lands of Egypt,
-    forming the Sahara. Early tribal peoples migrated to the Nile River where
-    they developed a settled agricultural economy and more centralized society.
-- text: >-
-    when: By about 6000 BCE, a Neolithic culture took root in the Nile
-    Valley.[31] During the Neolithic era, several predynastic cultures developed
-    independently in Upper and Lower Egypt. The Badarian culture and the
-    successor Naqada series are generally regarded as precursors to dynastic
-    Egypt. The earliest known Lower Egyptian site, Merimda, predates the
-    Badarian by about seven hundred years. Contemporaneous Lower Egyptian
-    communities coexisted with their southern counterparts for more than two
-    thousand years. The earliest known evidence of Egyptian hieroglyphic
-    inscriptions appeared during the predynastic period on Naqada III pottery
-    vessels, dated to about 3200 BCE.[32]
-- text: >-
-    whose : or the next three millennia. Egyptian culture flourished during this
-    long period and remained distinctively Egyptian in its religion, arts,
-    language and customs. The first two ruling dynasties of a unified Egypt set
-    the stage for the Old Kingdom period, c. 2700–2200 BCE, which constructed
-    many pyramids, most notably the Third Dynasty pyramid of Djoser and the
-    Fourth Dynasty Giza pyramids.
-- text: >-
-    who:The First Intermediate Period ushered in a time of political upheaval
-    for about 150 years.[33] Stronger Nile floods and stabilisation of
-    government, however, brought back renewed prosperity for the country in the
-    Middle Kingdom c. 2040 BCE, reaching a peak during the reign of Pharaoh
-    Amenemhat III. A second period of disunity heralded the arrival of the first
-    foreign ruling dynasty in Egypt, that of the Semitic Hyksos. The Hyksos
-    invaders took over much of Lower Egypt around 1650 BCE and founded a new
-    capital at Avaris. They were driven out by an Upper Egyptian force led by
-    Ahmose I, who founded the Eighteenth Dynasty and relocated the capital from
-    Memphis to Thebes.
-library_name: transformers
-tags:
-- generate answers
-- question generator
-- generate text
-- nlp
-- dataset maker
-- flan t5
-- t5
+library_name: peft
 ---
+## Training procedure
 
-# Model Card for QA_GeneraToR
-Excited 😄 to share with you my very first model 🤖 for generating question-answering datasets! This incredible model takes articles 📜 or web pages, and all you need to provide is a prompt and context. It works like magic ✨, generating both the question and the answer. The prompt can be anything – "what," "who," "where" ... etc ! 😅
 
-I've harnessed the power of the flan-t5 model 🚀, which has truly elevated the quality of the results. You can find all the code and details in the repository right here: https://lnkd.in/dhE5s_qg
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
 
-And guess what? I've even deployed the project, so you can experience the magic firsthand: https://lnkd.in/diq-d3bt ❤️
-
-Join me on this exciting journey into #nlp, #textgeneration, #t5, #deeplearning, and #huggingface. Your feedback and collaboration are more than welcome! 🌟
-# my fine tuned model
->This model is fine tuned to generate a question with answers from a context , why that can be very usful this can help you to generate a dataset from a book article any thing you would to make from it dataset and train another model on this dataset , give the model any context with pre prometed of quation you want + context and it will extarct question + answer for you 
-this are promted i use
->[ "which", "how", "when", "where", "who", "whom", "whose", "why",
-    "which", "who", "whom", "whose", "whereas",
-    "can", "could", "may", "might", "will", "would", "shall", "should",
-    "do", "does", "did", "is", "are", "am", "was", "were", "be", "being", "been",
-    "have", "has", "had", "if", "is", "are", "am", "was", "were", "do", "does", "did", "can", "could",
-    "will", "would", "shall", "should", "might", "may", "must",
-    "may", "might", "must"]
->
-#  orignal model info
-<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/flan2_architecture.jpg"
-alt="drawing" width="600"/>
 
+- PEFT 0.6.0.dev0

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "mohamedemam/QA_GeneraToR",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "revision": null,
+  "target_modules": [
+    "v",
+    "q"
+  ],
+  "task_type": "SEQ_2_SEQ_LM"
+}

adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
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+size 37854797