Upload stanzas_eval.yaml

stanzas_eval.yaml

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+name: mBert stanzas evaluation
+project: stanzas-mbert-eval
+program: stanzas_eval.py
+command:
+  - ${env}
+  - ${interpreter}
+  - ${program}
+  - ${args}
+method: grid
+metric:
+  name: eval:f1_macro
+  goal: maximize
+parameters:
+  dataset_name:
+    value: linhd-postdata/stanzas
+  task_name:
+    value: sequence
+  model_name:
+    value: bert-base-multilingual-cased
+  # force_download:
+  #   value: true
+  num_train_epochs:
+    value: 3
+  # warmup_steps:
+  #   value: 0.1
+  weight_decay:
+    value: 0.0
+  learning_rate:
+    value: 3e-5
+  train_batch_size:
+    value: 8
+  cache_dir:
+    value: ./cache
+  output_dir:
+    value: ./output
+  save_artifacts:
+    value: true
+  # run:
+  #   values: [1, 2, 3]