some stuff

batch_finetune_eu_jav_base_exp_fulltext.sh

@@ -1,11 +1,11 @@
 PROJECT_DIR=${HOME}"/models/eu-jav-categorisation"
 export PYTHONPATH=${PROJECT_DIR}
 INITIAL_CHECKPOINT_PATH=\"gs://t5-data/pretrained_models/t5x/mt5_base/checkpoint_1000000\"
-TRAIN_STEPS=1005000
+TRAIN_STEPS=1010000
 
-python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_classify_tweets_fulltext_base_v1\" &&
-python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_classify_tweets_fulltext_base_v2\" &&
-python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_classify_tweets_fulltext_base_v3\" &&
-python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_classify_tweets_fulltext_base_v4\" &&
-python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_classify_tweets_fulltext_base_v5\"
+python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_corrected_classify_tweets_fulltext_base_v1\" &&
+python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_corrected_classify_tweets_fulltext_base_v2\" &&
+python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_corrected_classify_tweets_fulltext_base_v3\" &&
+python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_corrected_classify_tweets_fulltext_base_v4\" &&
+python3 ../../t5x/t5x/train.py --gin_search_paths="./" --gin.TRAIN_STEPS=${TRAIN_STEPS} --gin_file="finetune_classification_base.gin" --gin.INITIAL_CHECKPOINT_PATH=${INITIAL_CHECKPOINT_PATH}  --gin.MIXTURE_OR_TASK_NAME=\"classify_tweets_fulltext\" --gin.MODEL_DIR=\"gs://eu-jav-t5x/finetuned/italian_tweets/fulltext_corrected_classify_tweets_fulltext_base_v5\"
 

finetune_classification_base.gin

@@ -11,7 +11,7 @@ include "t5x/examples/t5/mt5/base.gin"
 include "t5x/configs/runs/finetune.gin"
 
 MIXTURE_OR_TASK_NAME = %gin.REQUIRED
-TASK_FEATURE_LENGTHS = {"inputs": 256, "targets": 32}
+TASK_FEATURE_LENGTHS = {"inputs": 256, "targets": 64}
 INITIAL_CHECKPOINT_PATH = %gin.REQUIRED
 TRAIN_STEPS = %gin.REQUIRED  # 1000000 pre-trained steps + 10000 fine-tuning steps.
 USE_CACHED_TASKS = False
@@ -24,7 +24,7 @@ infer_eval/utils.DatasetConfig:
 
 #Saving every 1000 steps
 utils.SaveCheckpointConfig:
-  period = 100
+  period = 1000
 
 
 # Pere: Only necessary if we load a t5 model. We can start with an t5x model here

tasks.py

@@ -59,7 +59,7 @@ def categorise_fulltext_preprocessor(ds):
         t="il testo è favorevole alla vaccinazione"
     elif t=="1":
         t="il testo è neutro rispetto alla vaccinazione"
-    elif t=="3":
+    elif t=="2":
         t="is testo è sfavorevole alla vaccinazione"
     return t