--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer model-index: - name: t5-small-squad-qg-v2 results: - task: type: text2text-generation metrics: - name: BLEU type: BLEU value: 20.00 - name: Rouge1 type: Rouge1 value: 47.69 - name: Rouge2 type: Rouge2 value: 26.43 - name: RougeL type: RougeL value: 44.15 - name: RougeLSum type: RougeLSum value: 44.15 - name: METEOR type: METEOR value: 45.84 - name: BertScore type: BertScore value: 91.82 widget: - text: "Generate a question whose answer is highlighted by from the context delimited by the triple backticks \ncontext:```During the 2011–12 season, he set the La Liga and European records for most goals scored in a single season, while establishing himself as Barcelona all-time top scorer. The following two seasons, Messi finished second for the Ballon d'Or behind Cristiano Ronaldo (his perceived career rival), before regaining his best form during the 2014–15 campaign, becoming the all-time top scorer in La Liga and leading Barcelona to a historic second treble, after which he was awarded a fifth Ballon d'Or in 2015. Messi assumed captaincy of Barcelona in 2018, and won a record sixth Ballon d'Or in 2019. Out of contract, he signed for French club Paris Saint-Germain in August 2021, spending two seasons at the club and winning Ligue 1 twice. Messi joined American club Inter Miami in July 2023, winning the Leagues Cup in August of that year.```" datasets: - rajpurkar/squad language: - en metrics: - bleu - rouge - meteor - bertscore pipeline_tag: text2text-generation --- # t5-small-squad-qg-v2 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the SQuAD dataset. It achieves the following results on the evaluation set: - Loss: 1.6608 - BLEU: 20.00 - Rouge1: 47.69 - Rouge2: 26.43 - RougeL: 44.15 - RougeLSum: 44.15 - METEOR: 45.84 - BertScore: 91.82 ## Model description ## Intended uses & limitations 1. Define some useful functions for highlighting the answer in the paragraph and preparing the instruction prompt that will be fed to the model: ```Python def highlight_answer(context, answer): context_splits = context.split(answer) text = "" for split in context_splits: text += split text += ' ' text += answer text += ' ' text += split return text def prepare_instruction(answer_highlighted_context): instruction_prompt = f"""Generate a question whose answer is highlighted by from the context delimited by the triple backticks. context: ``` {answer_highlighted_context} ``` """ return instruction_prompt ``` 2. Use the model as a Hugging Face Pipeline: ```Python from transformers import pipeline pipe = pipeline('text2text-generation', model='mohammedaly22/t5-small-squad-qg-v2') context = """During the 2011–12 season, he set the La Liga and European records\ for most goals scored in a single season, while establishing himself as Barcelona's\ all-time top scorer. The following two seasons, Messi finished second for the Ballon\ d'Or behind Cristiano Ronaldo (his perceived career rival), before regaining his best\ form during the 2014–15 campaign, becoming the all-time top scorer in La Liga and \ leading Barcelona to a historic second treble, after which he was awarded a fifth \ Ballon d'Or in 2015. Messi assumed captaincy of Barcelona in 2018, and won a record \ sixth Ballon d'Or in 2019. Out of contract, he signed for French club Paris Saint-Germain\ in August 2021, spending two seasons at the club and winning Ligue 1 twice. Messi \ joined American club Inter Miami in July 2023, winning the Leagues Cup in August of that year. """ answer_highlighted_context = highlight_answer(context=context, answer='Inter Miami') prompt = prepare_instruction(answer_highlighted_context) ``` This will be the final prompt: ``` Generate a question whose answer is highlighted by from the context delimited by the triple backticks context: ```During the 2011–12 season, he set the La Liga and European records\ for most goals scored in a single season, while establishing himself as Barcelona's\ all-time top scorer. The following two seasons, Messi finished second for the Ballon\ d'Or behind Cristiano Ronaldo (his perceived career rival), before regaining his best\ form during the 2014–15 campaign, becoming the all-time top scorer in La Liga and \ leading Barcelona to a historic second treble, after which he was awarded a fifth \ Ballon d'Or in 2015. Messi assumed captaincy of Barcelona in 2018, and won a record\ sixth Ballon d'Or in 2019. Out of contract, he signed for French club Paris Saint-Germain\ in August 2021, spending two seasons at the club and winning Ligue 1 twice. Messi \ joined American club Inter Miami in July 2023, winning the Leagues Cup in August of that year.``` ``` 3. Use the loaded `pipeline` to generate questions their answer is `Inter Miami`: ```Python outputs = pipe(prompt, num_return_sequences=3, num_beams=5, num_beam_groups=5, diversity_penalty=1.0) for output in outputs: print(output['generated_text']) ``` Result: ``` 1. What club did Messi join in the 2023 season? 2. What was Messi's name of the club that won the Leagues Cup on July 20? 3. What club did Messi join in the Leagues Cup in July 2023? ``` ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.6867 | 0.73 | 500 | 1.9647 | | 2.0737 | 1.46 | 1000 | 1.8141 | | 1.9364 | 2.19 | 1500 | 1.7515 | | 1.8745 | 2.92 | 2000 | 1.7215 | | 1.8282 | 3.65 | 2500 | 1.7042 | | 1.803 | 4.38 | 3000 | 1.6913 | | 1.7797 | 5.11 | 3500 | 1.6796 | | 1.7592 | 5.84 | 4000 | 1.6749 | | 1.7435 | 6.57 | 4500 | 1.6697 | | 1.7427 | 7.3 | 5000 | 1.6667 | | 1.7245 | 8.04 | 5500 | 1.6614 | | 1.7211 | 8.77 | 6000 | 1.6621 | | 1.7137 | 9.5 | 6500 | 1.6608 | ### Framework versions - Transformers 4.38.1 - Pytorch 2.1.2 - Datasets 2.13.1 - Tokenizers 0.15.2