Delete app.yaml

app.yaml

@@ -1,109 +0,0 @@
-device: "NVIDIA GeForce RTX 2080 Ti"
-
-host: 127.0.0.1
-port: 7860
-
-is_push_to_public: false
-save-path: save/stack/outputs.jsonl
-page-size: 2
-
-base:
-  name: "OpenSLUv1"
-  train: false
-  test: false
-  device: cpu
-  ckpt_path: null
-  seed: 42
-  best_key: EMA
-  epoch_num: 300
-  batch_size: 16
-  eval_by_epoch: true
-  model_dir: save/stack
-  template: application.html
-accelerator:
-  use_accelerator: false
-
-dataset:
-  dataset_name: atis
-
-metric:
-  - intent_acc
-  - slot_f1
-  - EMA
-
-tokenizer:
-    _tokenizer_name_: word_tokenizer
-    _padding_side_: right
-    _align_mode_: fast
-    _to_lower_case_: true
-    add_special_tokens: false
-    max_length: 512
-
-optimizer:
-  _model_target_: torch.optim.Adam
-  _model_partial_: true
-  lr: 0.001
-  weight_decay: 1e-6
-
-scheduler:
-  _model_target_: transformers.get_scheduler
-  _model_partial_: true
-  name : "linear"
-  num_warmup_steps: 0
-
-model:
-  _model_target_: model.OpenSLUModel
-
-  encoder:
-    _model_target_: model.encoder.AutoEncoder
-    encoder_name: self-attention-lstm
-
-    embedding:
-      embedding_dim: 256
-      dropout_rate: 0.55
-
-    lstm:
-      layer_num: 1
-      bidirectional: true
-      output_dim: 256
-      dropout_rate: 0.5
-
-    attention:
-      hidden_dim: 1024
-      output_dim: 128
-      dropout_rate: 0.6
-
-    return_with_input: true
-    return_sentence_level_hidden: false
-
-  decoder:
-    _model_target_: model.decoder.StackPropagationDecoder
-    interaction:
-      _model_target_: model.decoder.interaction.StackInteraction
-      differentiable: false
-
-    intent_classifier:
-      _model_target_: model.decoder.classifier.AutoregressiveLSTMClassifier
-      layer_num: 1
-      bidirectional: false
-      force_ratio: 0.9
-      hidden_dim: 64
-      embedding_dim: 8
-      ignore_index: -100
-      dropout_rate: 0.5
-      mode: "token-level-intent"
-      use_multi: false
-      return_sentence_level: true
-
-    slot_classifier:
-      _model_target_: model.decoder.classifier.AutoregressiveLSTMClassifier
-      layer_num: 1
-      bidirectional: false
-      force_ratio: 0.9
-      hidden_dim: 64
-      embedding_dim: 32
-      ignore_index: -100
-      dropout_rate: 0.55
-      mode: "slot"
-      use_multi: false
-      return_sentence_level: false