Update README.md

README.md

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 ---
+language:
+- en
 license: apache-2.0
+tags:
+- dialogue policy
+- task-oriented dialog
+
 ---
+
+# lava-policy-multiwoz
+
+This is the best performing LAVA_kl model from the [LAVA paper](https://aclanthology.org/2020.coling-main.41/) which can be used as a word-level policy module in ConvLab3 pipeline.
+
+Refer to [ConvLab-3](https://github.com/ConvLab/ConvLab-3) for model description and usage.
+
+## Training procedure
+The model was trained on MultiWOZ 2.0 data using the [LAVA codebase](https://gitlab.cs.uni-duesseldorf.de/general/dsml/lava-public). The model started with VAE pre-training and fine-tuning with informative prior KL loss, followed by corpus-based RL with REINFORCE.
+
+### Training hyperparameters
+
+The following hyperparameters were used during SL training:
+- y_size: 10
+- k_size: 20
+- beta: 0.1
+- simple_posterior: true
+- contextual_posterior: false
+- learning_rate: 1e-03
+- max_vocab_size: 1000
+- max_utt_len: 50
+- max_dec_len: 30
+- backward_size: 2
+- train_batch_size: 128
+- seed: 58
+- optimizer: Adam
+- num_epoch: 100 with early stopping based on validation set
+  
+The following hyperparameters were used during RL training:
+- tune_pi_only: false
+- max_words: 100
+- temperature: 1.0
+- episode_repeat: 1.0
+- rl_lr: 0.01
+- momentum: 0.0
+- nesterov: false
+- gamma: 0.99
+- rl_clip: 5.0
+- random_seed: 38
+