commit files to HF hub

README.md

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+
+---
+widget:
+- text: "context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, question: what should phylicia rashad do now?"
+  example_title: example 1
+- text: "context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, question: how many victims have come forward?"
+  example_title: example 2
+- text: "context: The news about Vegas is devastating. Sending all our love to the people there right now ❤️❤️❤️— HAIM (@HAIMtheband) October 2, 2017, question: where is the news devastating?"
+  example_title: example 3
+---
+
+# cardiffnlp/flan-t5-small-tweetqa
+
+This is [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) fine-tuned on [cardiffnlp/super_tweeteval (tweet_qa)](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
+
+### Usage
+
+```python
+from transformers import pipeline
+
+pipe = pipeline('text2text-generation', model="cardiffnlp/flan-t5-small-tweetqa")
+output = pipe("context: I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015, question: what should phylicia rashad do now?")
+```
+        

evaluation_metrics.json

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+{"eval_loss": 1.7568144798278809, "eval_exact_match": 6.733167082294265, "eval_f1": 31.045346326995162, "eval_runtime": 6.3185, "eval_samples_per_second": 190.392, "eval_steps_per_second": 23.898}

hyperparameters.json

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+{"learning_rate": 1.099433557476622e-06, "num_train_epochs": 3, "per_device_train_batch_size": 64}