Add latest log and script

run_t5.sh

@@ -35,7 +35,8 @@ while true; do
 
   # Set the seed to random before each run, so date shuffling per epoch is different each run.
   # This kills reproducibility, but is required as long as during training ValueError can be raised.
-  SEED=$RANDOM
+#  SEED=$RANDOM
+  SEED=22384
 
   ./run_t5_mlm_flax_custom_dataset.py \
       --output_dir="${MODEL_DIR}" \

runs/{Jul16_11-53-22_t1v-n-0e7426e8-w-0/events.out.tfevents.1626436407.t1v-n-0e7426e8-w-0.23523.3.v2 → Jul16_18-04-29_t1v-n-0e7426e8-w-0/events.out.tfevents.1626458674.t1v-n-0e7426e8-w-0.47413.3.v2}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6246ff2cb2ae46428e8c6faadbbbedefd5e718271f8db555ce4bc45d1f5a8d0e
-size 40
+oid sha256:8241209af539877a225968413b232850e6eca435f1d6027d6fe6193836f24870
+size 1346239