lm

norwegian_lm_base.gin

@@ -0,0 +1,21 @@
+include 't5x/examples/t5/mt5/base.gin'
+include 'pretrain_cont.gin'
+#include 't5x/configs/runs/pretrain.gin'
+#iinclude 't5x/configs/runs/finetune.gin'
+
+
+# Register necessary SeqIO Tasks/Mixtures.
+import t5.data.mixtures
+import tasks
+
+MIXTURE_OR_TASK_NAME = "ncc_english_prefix_lm_stream"
+TASK_FEATURE_LENGTHS = {"inputs": 512, "targets": 512}
+TRAIN_STEPS = 1_700_000
+DROPOUT_RATE = 0.0 # Changed from the default since T5-1.1 recomments this.
+INITIAL_CHECKPOINT_PATH = "gs://nb-t5x-us-central2/norwegian_NCC_plus_English_t5x_base/checkpoint_1500000"
+PjitPartitioner.num_partitions = 1
+utils.SaveCheckpointConfig.period = 5000
+utils.SaveCheckpointConfig.keep = 3
+
+
+

tasks.py

@@ -156,6 +156,33 @@ TaskRegistry.add(
     metric_fns=[]
 )
 
+# Final pretraining task used in Raffel et al., 2019 adaptated to NCC
+dataset_name = 'NbAiLab/NCC_plus_english'
+dataset_params = {"path": dataset_name, "use_auth_token": True, "streaming": True}
+dataset_shapes = None
+TaskRegistry.add(
+    "ncc_english_prefix_lm_stream",
+    source=seqio.FunctionDataSource(
+        dataset_fn=functools.partial(dataset_fn, dataset_params=dataset_params),
+        splits=("train", "validation"),
+        caching_permitted=False,
+        num_input_examples=dataset_shapes,
+    ),
+    preprocessors=[
+        functools.partial(
+            target_to_key, key_map={
+                "inputs": None,
+                "targets": None,
+            }, target_key="targets"),
+        seqio.preprocessors.tokenize,
+        # seqio.CacheDatasetPlaceholder(),
+        preprocessors.prefix_lm,
+        seqio.preprocessors.append_eos_after_trim,
+    ],
+    output_features={"targets": DEFAULT_OUTPUT_FEATURES["targets"]},
+    metric_fns=[]
+)
+
 # Final pretraining task used in Raffel et al., 2019 adaptated to NCC
 dataset_name = 'NbAiLab/scandinavian'
 dataset_params = {"path": dataset_name, "use_auth_token": True, "streaming": True}

train_norwegian_lm_base.sh

@@ -0,0 +1,9 @@
+PROJECT_DIR=${HOME}"/models/pk-nb-t5x"
+T5X_DIR="../../t5x"  # directory where the t5x is cloned.
+MODEL_DIR="gs://nb-t5x-us-central2/norwegian_NCC_plus_English_pluss200k_lm_t5x_base"
+export PYTHONPATH=${PROJECT_DIR}
+
+python3 ${T5X_DIR}/t5x/train.py \
+  --gin_search_paths=${PROJECT_DIR} \
+  --gin_file="norwegian_lm_base.gin" \
+  --gin.MODEL_DIR="'${MODEL_DIR}'" \