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+      unless required by applicable law (such as deliberate and grossly
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+   9. Accepting Warranty or Additional Liability. While redistributing
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README.md

@@ -1,83 +1,142 @@
 ---
 license: apache-2.0
 datasets:
-- nicholasKluge/reward-aira-dataset
+- nicholasKluge/instruct-aira-dataset
 language:
 - en
+metrics:
+- accuracy
 library_name: transformers
-pipeline_tag: text-generation
 tags:
-- text-generation-inference
+- alignment
+- instruction tuned
+- text generation
+- conversation
+- assistant
+pipeline_tag: text-generation
+widget:
+- text: "<|startofinstruction|>Hello! What is your name?<|endofinstruction|>"
+  example_title: Greetings
+- text: "<|startofinstruction|>Can you explain what is Machine Learning?<|endofinstruction|>"
+  example_title: Machine Learning
+- text: "<|startofinstruction|>Do you know anything about virtue ethics?<|endofinstruction|>"
+  example_title: Ethics
+- text: "<|startofinstruction|>How can I make my girlfriend happy?<|endofinstruction|>"
+  example_title: Advise
+inference:
+  parameters:
+    repetition_penalty: 1.2
+    temperature: 0.2
+    top_k: 30
+    top_p: 0.3
+    max_new_tokens: 200
+    length_penalty: 0.3
+    early_stopping: true
+co2_eq_emissions:
+  emissions: 0.25
+  source: CodeCarbon
+  training_type: fine-tuning
+  geographical_location: United States of America
+  hardware_used: NVIDIA A100-SXM4-40GB
 ---
+# Aira-2-124M
+
+`Aira-2` is the second version of the Aira instruction-tuned series. `Aira-2-124M` is an instruction-tuned model based on [GPT-2](https://huggingface.co/gpt2). The model was trained with a dataset composed of prompts and completions generated synthetically by prompting already-tuned models (ChatGPT, Llama, Open-Assistant, etc).
+
+Check our gradio-demo in [Spaces](https://huggingface.co/spaces/nicholasKluge/Aira-Demo).
+
+## Details
+
+- **Size:** 124,441,344 parameters
+- **Dataset:** [Instruct-Aira Dataset](https://huggingface.co/datasets/nicholasKluge/instruct-aira-dataset)
+- **Language:** English
+- **Number of Epochs:** 5
+- **Batch size:** 32
+- **Optimizer:** `torch.optim.AdamW` (warmup_steps = 1e2, learning_rate = 5e-4, epsilon = 1e-8)
+- **GPU:** 1 NVIDIA A100-SXM4-40GB
+- **Emissions:** 0.25 KgCO2 (Singapore)
+- **Total Energy Consumption:** 0.52 kWh
+
+This repository has the [source code](https://github.com/Nkluge-correa/Aira) used to train this model.
+
+## Usage
+
+Three special tokens are used to mark the user side of the interaction and the model's response:
+
+`<|startofinstruction|>`What is a language model?`<|endofinstruction|>`A language model is a probability distribution over a vocabulary.`<|endofcompletion|>`
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+tokenizer = AutoTokenizer.from_pretrained('nicholasKluge/Aira-2-124M')
+aira = AutoModelForCausalLM.from_pretrained('nicholasKluge/Aira-2-124M')
+
+aira.eval()
+aira.to(device)
+
+question =  input("Enter your question: ")
+
+inputs = tokenizer(tokenizer.bos_token + question + tokenizer.sep_token,
+  add_special_tokens=False,
+  return_tensors="pt").to(device)
+
+responses = aira.generate(**inputs,	num_return_sequences=2)
+
+print(f"Question: 👤 {question}\n")
+
+for i, response in  enumerate(responses):
+	print(f'Response {i+1}: 🤖 {tokenizer.decode(response, skip_special_tokens=True).replace(question, "")}')
+```
+
+The model will output something like:
+
+```markdown
+>>>Question: 👤 What is the capital of Brazil?
+
+>>>Response 1: 🤖 The capital of Brazil is Brasília.
+>>>Response 2: 🤖 The capital of Brazil is Brasília.
+```
+
+## Limitations
+
+🤥 Generative models can perpetuate the generation of pseudo-informative content, that is, false information that may appear truthful.
+
+🤬 In certain types of tasks, generative models can produce harmful and discriminatory content inspired by historical stereotypes.
+
+## Evaluation
+
+| Model (GPT-2)                                                   | Average   | [ARC](https://arxiv.org/abs/1803.05457) | [TruthfulQA](https://arxiv.org/abs/2109.07958) | [ToxiGen](https://arxiv.org/abs/2203.09509) |   |   |
+|-----------------------------------------------------------------|-----------|-----------------------------------------|------------------------------------------------|---------------------------------------------|---|---|
+| [Aira-2-124M](https://huggingface.co/nicholasKluge/Aira-2-124M) | **38.07** | **24.57**                               | **41.02**                                      | **48.62**                                   |   |   |
+| GPT-2                                                           | 35.37     | 21.84                                   | 40.67                                          | 43.62                                       |   |   |
+| [Aira-2-355M](https://huggingface.co/nicholasKluge/Aira-2-355M) | **39.68** | **27.56**                               | 38.53                                          | **53.19**                                   |   |   |
+| GPT-2-medium                                                    | 36.43     | 27.05                                   | **40.76**                                      | 41.49                                       |   |   |
+| [Aira-2-774M](https://huggingface.co/nicholasKluge/Aira-2-774M) | **42.26** | **28.75**                               | **41.33**                                      | **56.70**                                   |   |   |
+| GPT-2-large                                                     | 35.16     | 25.94                                   | 38.71                                          | 40.85                                       |   |   |
+| [Aira-2-1B5](https://huggingface.co/nicholasKluge/Aira-2-1B5)   | **42.22** | 28.92                                   | **41.16**                                      | **56.60**                                   |   |   |
+| GPT-2-xl                                                        | 36.84     | **30.29**                               | 38.54                                          | 41.70                                       |   |   |
+
+* Evaluations were performed using the [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) (by [EleutherAI](https://www.eleuther.ai/)).
+
+## Cite as 🤗
+
+```latex
+
+@misc{nicholas22aira,
+  doi = {10.5281/zenodo.6989727},
+  url = {https://huggingface.co/nicholasKluge/Aira-2-124M},
+  author = {Nicholas Kluge Corrêa},
+  title = {Aira},
+  year = {2023},
+  publisher = {HuggingFace},
+  journal = {HuggingFace repository},
+}
 
-# Aira-2-124M-DPO-checkpoint-200
- 
-## Hyperparameters
-
-```yaml
-model_args:
-  base_model: "nicholasKluge/Aira-2-124M"
-  model_ref: "nicholasKluge/Aira-2-124M"
-  cache_dir: null
-data_args:
-    dataset_name: "nicholasKluge/reward-aira-dataset"
-    dataset_split: "english"
-    validation_split_percentage: null
-    streaming: false
-    max_prompt_length: 150
-    max_length: 600
-    sanity_check: false
-training_args:
-  output_dir: "checkpoints"
-  do_eval: false
-  evaluation_strategy: "no"
-  save_strategy: "steps"
-  logging_strategy: "steps"
-  logging_steps: 200
-  max_steps: 2400
-  save_steps: 200
-  per_device_train_batch_size: 8
-  per_device_eval_batch_size: 8
-  gradient_accumulation_steps: 1
-  gradient_checkpointing: false
-  optim: "adamw_torch"
-  learning_rate: 0.00005
-  lr_scheduler_type: "cosine"
-  warmup_steps: 100
-  hub_token: null
-  push_to_hub: false
-  hub_model_id: null
-extra_args:
-  project_name: "Aira-2"
-  wandb_token: null
-  beta: 0.9
 ```
 
-##  Logs
-
-| Key                   | Value                           |
-|-----------------------|---------------------------------|
-| loss                  | 0.2274                          |
-| learning_rate         | 4.976714865090827e-05           |
-| rewards/chosen        | -33.849693298339844             |
-| rewards/rejected      | -114.72045135498047             |
-| rewards/accuracies    | 0.9768750071525574              |
-| rewards/margins       | 80.87075805664062               |
-| logps/rejected        | -404.8834228515625              |
-| logps/chosen          | -383.7469482421875              |
-| logits/rejected       | -67.6454086303711               |
-| logits/chosen         | -30.543472290039062             |
-| epoch                 | 0.05                            |
-
-
-## Eval
-
-|    Task     |Version| Metric |Value |   |Stderr|
-|-------------|------:|--------|-----:|---|-----:|
-|arc_challenge|      0|acc     |0.2125|±  |0.0120|
-|             |       |acc_norm|0.2466|±  |0.0126|
-|toxigen      |      0|acc     |0.5479|±  |0.0162|
-|             |       |acc_norm|0.4309|±  |0.0162|
-|truthfulqa_mc|      1|mc1     |0.2546|±  |0.0153|
-|             |       |mc2     |0.4261|±  |0.0154|
+## License
 
+The `Aira-2-124M` is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for more details.