Saving weights and logs at step 500

events.out.tfevents.1626297829.t1v-n-f5c06ea1-w-0.578764.3.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14dfc06e6c8c2d64641ac5905c79546cccc7cc70c30040cbc4dcf5c4215f8151
+size 73705

flax_model.msgpack

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:422812fccdda54c02543ac5e994b33b54e510e0474439fbe9360d5190787d38e
+oid sha256:ba765ca93df3c067ee3d3ec56bc471ecc71072620bbbdc50509b516efdbf60c4
 size 510090043

run.sh

@@ -16,10 +16,10 @@ python ./run_mlm_flax.py \
     --adam_beta2="0.98" \
     --logging_steps="250" \
     --eval_steps="500" \
-    --num_train_epochs="3" \
+    --num_train_epochs="5" \
     --preprocessing_num_workers="96" \
-    --save_steps="1250" \
-    --learning_rate="1e-4" \
+    --save_steps="500" \
+    --learning_rate="5e-5" \
     --per_device_train_batch_size="2" \
     --per_device_eval_batch_size="2" \
     --save_total_limit="5"\

run_mlm_flax.py

@@ -59,7 +59,7 @@ from flax.training import checkpoints
 from flax.jax_utils import unreplicate
 from flax.training.checkpoints import save_checkpoint, restore_checkpoint
 from importlib.util import find_spec
-
+from flax.serialization import to_bytes, from_bytes
 
 MODEL_CONFIG_CLASSES = list(FLAX_MODEL_FOR_MASKED_LM_MAPPING.keys())
 MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)

wandb/debug-internal.log

@@ -1 +1 @@
-run-20210714_210351-1msvb4w4/logs/debug-internal.log
+run-20210714_212350-6qjir2uu/logs/debug-internal.log

wandb/debug.log

@@ -1 +1 @@
-run-20210714_210351-1msvb4w4/logs/debug.log
+run-20210714_212350-6qjir2uu/logs/debug.log

wandb/latest-run

@@ -1 +1 @@
-run-20210714_210351-1msvb4w4
+run-20210714_212350-6qjir2uu

wandb/run-20210714_210351-1msvb4w4/files/config.yaml

@@ -13,6 +13,9 @@ _wandb:
       1:
       - 3
       - 11
+      2:
+      - 3
+      - 11
       4: 3.8.10
       5: 0.10.33
       6: 4.9.0.dev0

wandb/run-20210714_210351-1msvb4w4/files/output.log

@@ -416,3 +416,13 @@ Step... (1000 | Loss: 9.379836082458496, Acc: 0.047341905534267426):  33%|██
 Training...:   0%|▏                                                                                                                                 | 2/1250 [00:02<02:18,  9.03it/s]
 [21:21:14] - INFO - huggingface_hub.repository - git version 2.25.1                                                                                 | 2/1250 [00:02<02:18,  9.03it/s]
 git-lfs/2.9.2 (GitHub; linux amd64; go 1.13.5)
+[21:21:14] - DEBUG - huggingface_hub.repository - [Repository] is a valid git repo
+[21:22:01] - INFO - huggingface_hub.repository - Uploading LFS objects: 100% (27/27), 1.3 GB | 56 MB/s, done.
+Training...:   0%|▏                                                                                                                               | 2/1250 [00:51<9:00:35, 25.99s/it]
+Step... (1000 | Loss: 9.379836082458496, Acc: 0.047341905534267426):  33%|█████████████████████████                                                  | 1/3 [17:55<35:50, 1075.43s/it]
+Traceback (most recent call last):
+  File "./run_mlm_flax.py", line 850, in <module>
+    save_model_checkpoint(model, training_args.output_dir, state, with_opt=model_args.save_optimizer,
+  File "./run_mlm_flax.py", line 461, in save_model_checkpoint
+    f.write(to_bytes(state.opt_state))
+NameError: name 'to_bytes' is not defined

wandb/run-20210714_210351-1msvb4w4/logs/debug-internal.log

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wandb/run-20210714_210351-1msvb4w4/logs/debug.log

@@ -23,3 +23,99 @@ config: {}
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+}
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+}
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+}
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+}
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+}
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+exit_result {
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wandb/run-20210714_212350-6qjir2uu/files/config.yaml

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wandb/run-20210714_212350-6qjir2uu/files/output.log

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+[21:24:05] - INFO - absl - A polynomial schedule was set with a non-positive `transition_steps` value; this results in a constant schedule with value `init_value`.
+/home/dat/pino/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3132: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
+  lax._check_user_dtype_supported(dtype, "zeros")
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:386: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.
+  warnings.warn(
+/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:373: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.
+  warnings.warn(
+Epoch ... (1/5):   0%|                                                                                                                                         | 0/5 [00:00<?, ?it/s][21:24:06] - INFO - __main__ - Skipping to epoch 0 step 0
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wandb/run-20210714_212350-6qjir2uu/files/requirements.txt

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wandb/run-20210714_212350-6qjir2uu/files/wandb-metadata.json

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wandb/run-20210714_212350-6qjir2uu/files/wandb-summary.json

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