| # measurement_time | |
| --- | |
| language: en | |
| datasets: | |
| - measurement_time | |
| --- | |
| This is a [t5-small](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) fine-tuned version on the [math_dataset/measurement_time](https://www.tensorflow.org/datasets/catalog/math_dataset#mathdatasetmeasurement_time) for solving **measurement time equations** mission. | |
| To load the model: | |
| (necessary packages: !pip install transformers sentencepiece) | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelWithLMHead | |
| tokenizer = AutoTokenizer.from_pretrained("dbernsohn/t5_measurement_time") | |
| model = AutoModelWithLMHead.from_pretrained("dbernsohn/t5_measurement_time") | |
| ``` | |
| You can then use this model to solve algebra 1d equations into numbers. | |
| ```python | |
| query = "How many minutes are there between 2:09 PM and 2:27 PM?" | |
| input_text = f"{query} </s>" | |
| features = tokenizer([input_text], return_tensors='pt') | |
| model.to('cuda') | |
| output = model.generate(input_ids=features['input_ids'].cuda(), | |
| attention_mask=features['attention_mask'].cuda()) | |
| tokenizer.decode(output[0]) | |
| # <pad> 18</s> | |
| ``` | |
| Another examples: | |
| + How many minutes are there between 2:09 PM and 2:27 PM? | |
| + Answer: 18 Pred: 18 | |
| ---- | |
| + What is 116 minutes after 10:06 AM? | |
| + Answer: 12:02 PM Pred: 12:02 PM | |
| ---- | |
| + What is 608 minutes after 3:14 PM? | |
| + Answer: 1:22 AM Pred: 1:22 AM | |
| ---- | |
| + What is 64 minutes before 9:16 AM? | |
| + Answer: 8:12 AM Pred: 8:12 AM | |
| ---- | |
| + What is 427 minutes before 4:27 AM? | |
| + Answer: 9:20 PM Pred: 9:20 PM | |
| ---- | |
| + How many minutes are there between 6:36 PM and 12:15 AM? | |
| + Answer: 339 Pred: 339 | |
| ---- | |
| + What is 554 minutes before 5:24 PM? | |
| + Answer: 8:10 AM Pred: 8:10 AM | |
| ---- | |
| + What is 307 minutes after 5:15 AM? | |
| + Answer: 10:22 AM Pred: 10:22 AM | |
| The whole training process and hyperparameters are in my [GitHub repo](https://github.com/DorBernsohn/CodeLM/tree/main/MathLM) | |
| > Created by [Dor Bernsohn](https://www.linkedin.com/in/dor-bernsohn-70b2b1146/) | |