Paracrawl baseline task

baselines/t5/configs/tasks/paracrawl.gin

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+# Copyright 2023 The Uncertainty Baselines Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Task-specific configurations for Paracrawl training and evaluation.
+from __gin__ import dynamic_registration
+
+import seqio
+import __main__ as train_script
+from t5x import checkpoints
+from t5x import utils
+from t5x import decoding
+
+# Register necessary SeqIO Tasks/Mixtures.
+import data.mixtures  # local file import from baselines.t5
+
+# Change to paracrawl_wmt_deen_precleaned for the baseline on precleaned data.
+MIXTURE_OR_TASK_NAME = 'paracrawl_wmt_deen'
+
+# Eval mixture with evaluation on both dev and test sets.
+EVAL_MIXTURE_OR_TASK_NAME = 'paracrawl_wmt_deen_eval_mixture'
+
+# Disable caching since ub tasks are not cached in the official directory.
+USE_CACHED_TASKS = False
+
+BASE_LEARNING_RATE = 2.0
+
+# Adjust checkpoint saving.
+utils.SaveCheckpointConfig:
+  period = 5000
+  dtype = 'float32'
+  keep = 8  # Keep the 8 best checkpoints.
+  save_dataset = False  # Don't checkpoint dataset state.
+  checkpointer_cls = @checkpoints.SaveBestCheckpointer
+
+checkpoints.SaveBestCheckpointer:
+  metric_name_to_monitor = 'inference_eval/paracrawl/eval/bleu'
+  metric_mode = 'max'
+  keep_checkpoints_without_metrics = False
+
+train_script.train.infer_eval_dataset_cfg = @train_infer/utils.DatasetConfig()
+train_script.train.inference_evaluator_cls = @seqio.Evaluator
+
+train_infer/utils.DatasetConfig:
+  mixture_or_task_name = %EVAL_MIXTURE_OR_TASK_NAME
+  task_feature_lengths = None
+  split = 'validation'
+  batch_size = %BATCH_SIZE
+  shuffle = False
+  seed = 42
+  use_cached = %USE_CACHED_TASKS
+  pack = False
+  module = None # %MIXTURE_OR_TASK_MODULE
+
+decoding.beam_search.max_decode_len = 256
+
+# Disable JSON logger to reduce the cns storage required for inference.
+seqio.Evaluator:
+  logger_cls = [@seqio.PyLoggingLogger, @seqio.TensorBoardLogger, @seqio.JSONLogger]
+  num_examples = None  # Use all examples in the infer_eval dataset.
+
+seqio.JSONLogger.write_n_results = None  # Write all inferences.
+
+utils.create_learning_rate_scheduler:
+  factors = 'constant * rsqrt_decay'
+  base_learning_rate = %BASE_LEARNING_RATE
+  warmup_steps = 5000
+