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@@ -16,11 +16,11 @@ widget:
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  - text: "<s>Uma mulher está misturando ovos.<s>A mulher está bebendo.</s>"
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  example_title: Exemplo
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  ---
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- # TeenyTinyLlama-162m-Assin2
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  TeenyTinyLlama is a series of small foundational models trained in Brazilian Portuguese.
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- This repository contains a version of [TeenyTinyLlama-162m](https://huggingface.co/nicholasKluge/TeenyTinyLlama-162m) (`TeenyTinyLlama-162m-Assin2`) fine-tuned on the [Assin2](https://huggingface.co/datasets/assin2).
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  ## Details
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@@ -38,7 +38,7 @@ from transformers import pipeline
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  text = "<s>Qual a capital do Brasil?<s>A capital do Brasil é Brasília!</s>"
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- classifier = pipeline("text-classification", model="nicholasKluge/TeenyTinyLlama-162m-Assin2")
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  classifier(text)
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  # >>> [{'label': 'ENTAILED', 'score': 0.9392824769020081}]
@@ -63,13 +63,13 @@ dataset = load_dataset("assin2")
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  # Create a `ModelForSequenceClassification`
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  model = AutoModelForSequenceClassification.from_pretrained(
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- "nicholasKluge/TeenyTinyLlama-162m",
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  num_labels=2,
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  id2label={0: "UNENTAILED", 1: "ENTAILED"},
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  label2id={"UNENTAILED": 0, "ENTAILED": 1}
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  )
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- tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-162m")
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  # Format the dataset
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  train = dataset['train'].to_pandas()
@@ -146,7 +146,7 @@ trainer.train()
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  | Models | [Assin2](https://huggingface.co/datasets/assin2)|
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  |--------------------------------------------------------------------------------------------|-------------------------------------------------|
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- | [Teeny Tiny Llama 162m](https://huggingface.co/nicholasKluge/TeenyTinyLlama-162m) | 85.78 |
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  | [Bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) | 87.45 |
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  | [Bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)| 88.97 |
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  | [Gpt2-small-portuguese](https://huggingface.co/pierreguillou/gpt2-small-portuguese) | 86.11 |
@@ -157,7 +157,7 @@ trainer.train()
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  @misc{nicholas22llama,
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  doi = {10.5281/zenodo.6989727},
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- url = {https://huggingface.co/nicholasKluge/TeenyTinyLlama-162m},
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  author = {Nicholas Kluge Corrêa},
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  title = {TeenyTinyLlama},
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  year = {2023},
@@ -173,4 +173,4 @@ This repository was built as part of the RAIES ([Rede de Inteligência Artificia
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  ## License
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- TeenyTinyLlama-162m-Assin2 is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for more details.
 
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  - text: "<s>Uma mulher está misturando ovos.<s>A mulher está bebendo.</s>"
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  example_title: Exemplo
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  ---
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+ # TeenyTinyLlama-160m-Assin2
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  TeenyTinyLlama is a series of small foundational models trained in Brazilian Portuguese.
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+ This repository contains a version of [TeenyTinyLlama-160m](https://huggingface.co/nicholasKluge/TeenyTinyLlama-160m) (`TeenyTinyLlama-160m-Assin2`) fine-tuned on the [Assin2](https://huggingface.co/datasets/assin2).
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  ## Details
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  text = "<s>Qual a capital do Brasil?<s>A capital do Brasil é Brasília!</s>"
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+ classifier = pipeline("text-classification", model="nicholasKluge/TeenyTinyLlama-160m-Assin2")
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  classifier(text)
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  # >>> [{'label': 'ENTAILED', 'score': 0.9392824769020081}]
 
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  # Create a `ModelForSequenceClassification`
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  model = AutoModelForSequenceClassification.from_pretrained(
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+ "nicholasKluge/TeenyTinyLlama-160m",
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  num_labels=2,
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  id2label={0: "UNENTAILED", 1: "ENTAILED"},
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  label2id={"UNENTAILED": 0, "ENTAILED": 1}
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  )
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+ tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-160m")
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  # Format the dataset
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  train = dataset['train'].to_pandas()
 
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  | Models | [Assin2](https://huggingface.co/datasets/assin2)|
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  |--------------------------------------------------------------------------------------------|-------------------------------------------------|
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+ | [Teeny Tiny Llama 160m](https://huggingface.co/nicholasKluge/TeenyTinyLlama-160m) | 85.78 |
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  | [Bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) | 87.45 |
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  | [Bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)| 88.97 |
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  | [Gpt2-small-portuguese](https://huggingface.co/pierreguillou/gpt2-small-portuguese) | 86.11 |
 
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  @misc{nicholas22llama,
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  doi = {10.5281/zenodo.6989727},
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+ url = {https://huggingface.co/nicholasKluge/TeenyTinyLlama-160m},
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  author = {Nicholas Kluge Corrêa},
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  title = {TeenyTinyLlama},
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  year = {2023},
 
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  ## License
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+ TeenyTinyLlama-160m-Assin2 is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for more details.