PaddlePaddle
diff --git a/‎paddlenlp/trainer/trainer.py‎
Lines changed: 0 additions & 3 deletions b/‎paddlenlp/trainer/trainer.py‎
Lines changed: 0 additions & 3 deletions
@@ -34,7 +34,6 @@
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import numpy as np
-import hashlib
 import paddle
 import paddle.amp.auto_cast as autocast
 import paddle.distributed as dist
@@ -1273,8 +1272,6 @@ def _maybe_log_save_evaluate(self, tr_loss, model, epoch, ignore_keys_for_eval,
                     seq_length=seq_length,
                 )
             )
-            logs["loss_md5"] = hashlib.md5(
-                np.array(tr_loss_scalar).tobytes()).hexdigest()
 
             self._total_loss_scalar += tr_loss_scalar
             self._globalstep_last_logged = self.state.global_step
Original file line number	Diff line number	Diff line change
`@@ -34,7 +34,6 @@`
`34`	`34`	`from typing import Any, Callable, Dict, List, Optional, Tuple, Union`
`35`	`35`
`36`	`36`	`import numpy as np`
`37`		`-import hashlib`
`38`	`37`	`import paddle`
`39`	`38`	`import paddle.amp.auto_cast as autocast`
`40`	`39`	`import paddle.distributed as dist`
`@@ -1273,8 +1272,6 @@ def _maybe_log_save_evaluate(self, tr_loss, model, epoch, ignore_keys_for_eval,`
`1273`	`1272`	`seq_length=seq_length,`
`1274`	`1273`	`)`
`1275`	`1274`	`)`
`1276`		`- logs["loss_md5"] = hashlib.md5(`
`1277`		`- np.array(tr_loss_scalar).tobytes()).hexdigest()`
`1278`	`1275`
`1279`	`1276`	`self._total_loss_scalar += tr_loss_scalar`
`1280`	`1277`	`self._globalstep_last_logged = self.state.global_step`