Create README.md

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- t5-small
+- text2text-generation
+- natural language understanding
+- conversational system
+- task-oriented dialog
+datasets:
+- ConvLab/tm2
+metrics:
+- Dialog acts Accuracy
+- Dialog acts F1
+
+model-index:
+- name: t5-small-nlu-tm2-context3
+  results:
+  - task:
+      type: text2text-generation
+      name: natural language understanding
+    dataset:
+      type: ConvLab/tm2
+      name: Taskmaster-2
+      split: test
+      revision: cdc314b156e7f7ffa81a1e7398f1f8a2e86c0095
+    metrics:
+      - type: Dialog acts Accuracy
+        value: 82.4
+        name: Accuracy
+      - type: Dialog acts F1
+        value: 74.3
+        name: F1
+
+widget:
+- text: "user: Hi, I'm looking for a flight. I need to visit a friend.\nsystem: Hello, how can I help you? Sure, I can help you with that. On what dates?\nuser: I'm looking to travel from March 20th to 22nd."
+- text: "system: Anything else?\nuser: That should be everything.\nsystem: I found a flight for $424 on United Airlines.\nuser: Okay, is that for New York?"
+
+inference:
+  parameters:
+    max_length: 100
+
+---
+
+# t5-small-nlu-tm2-context3
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Taskmaster-2](https://huggingface.co/datasets/ConvLab/tm2) with context window size == 3.
+
+Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage.
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 128
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 256
+- optimizer: Adafactor
+- lr_scheduler_type: linear
+- num_epochs: 10.0
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.3
+- Tokenizers 0.11.0