The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.

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/opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:24: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1525: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(

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Generating train split: 2264 examples [00:00, 12772.38 examples/s]

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WandbCallback activated.
[WARNING|trainer_callback.py:423] 2024-09-27 08:07:19,230 >> You are adding a <class 'transformers.integrations.integration_utils.WandbCallback'> to the callbacks of this Trainer, but there is already one. The currentlist of callbacks is
:DefaultFlowCallback
WandbCallback
/opt/conda/lib/python3.10/site-packages/transformers/optimization.py:591: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
  warnings.warn(
All 270 steps, warm_up steps: 200
wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
wandb: Currently logged in as: abdiharyadi. Use `wandb login --relogin` to force relogin
wandb: wandb version 0.18.1 is available!  To upgrade, please run:
wandb:  $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.17.5
wandb: Run data is saved locally in /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/wandb/run-20240927_080721-nmb2wrh4
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/../outputs/mbart-en-id-smaller-fted-fted
wandb: ⭐️ View project at https://wandb.ai/abdiharyadi/amr-tst
wandb: 🚀 View run at https://wandb.ai/abdiharyadi/amr-tst/runs/nmb2wrh4

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  self.pid = os.fork()

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{'loss': 5.1609, 'learning_rate': 5e-09, 'epoch': 0.01}

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{'loss': 4.6464, 'learning_rate': 1e-07, 'epoch': 0.22}

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{'loss': 4.4527, 'learning_rate': 2e-07, 'epoch': 0.44}

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{'loss': 3.8262, 'learning_rate': 3e-07, 'epoch': 0.66}

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{'loss': 3.2887, 'learning_rate': 4e-07, 'epoch': 0.88}

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{'max_length': 1024, 'max_gen_length': 1024, 'num_beams': 5}


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100%|██████████| 6/6 [01:47<00:00, 20.53s/it]Empty AMR failure!
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{'eval_loss': 3.400739908218384, 'eval_smatch': 0.3046, 'eval_gen_len': 210.7333, 'eval_runtime': 149.7975, 'eval_samples_per_second': 0.2, 'eval_steps_per_second': 0.04, 'epoch': 0.99}

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                                             [WARNING|configuration_utils.py:448] 2024-09-27 08:11:08,058 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 2.9042, 'learning_rate': 5e-07, 'epoch': 1.1}

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{'loss': 1.8419, 'learning_rate': 6e-07, 'epoch': 1.32}

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{'loss': 1.6323, 'learning_rate': 7e-07, 'epoch': 1.55}

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{'loss': 1.4964, 'learning_rate': 8e-07, 'epoch': 1.77}

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{'loss': 1.5144, 'learning_rate': 9e-07, 'epoch': 1.99}

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{'max_length': 1024, 'max_gen_length': 1024, 'num_beams': 5}


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{'eval_loss': 1.8273289203643799, 'eval_smatch': 0.4078, 'eval_gen_len': 29.0, 'eval_runtime': 6.2458, 'eval_samples_per_second': 4.803, 'eval_steps_per_second': 0.961, 'epoch': 2.0}

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                                             [WARNING|configuration_utils.py:448] 2024-09-27 08:12:26,894 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()

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{'loss': 1.4392, 'learning_rate': 1e-06, 'epoch': 2.21}

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{'loss': 1.4428, 'learning_rate': 7.428571428571427e-07, 'epoch': 2.43}

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{'loss': 1.377, 'learning_rate': 4.857142857142857e-07, 'epoch': 2.65}

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{'loss': 1.3575, 'learning_rate': 2.285714285714286e-07, 'epoch': 2.87}

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100%|██████████| 270/270 [05:57<00:00,  1.52it/s][WARNING|configuration_utils.py:448] 2024-09-27 08:13:35,534 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
Generation Kwargs:
{'max_length': 1024, 'max_gen_length': 1024, 'num_beams': 5}
/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
  self.pid = os.fork()


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{'eval_loss': 1.7345261573791504, 'eval_smatch': 0.4022, 'eval_gen_len': 33.6, 'eval_runtime': 15.6305, 'eval_samples_per_second': 1.919, 'eval_steps_per_second': 0.384, 'epoch': 2.98}

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                                             [WARNING|configuration_utils.py:448] 2024-09-27 08:13:59,667 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
[WARNING|trainer.py:2764] 2024-09-27 08:14:14,430 >> There were missing keys in the checkpoint model loaded: ['model.encoder.embed_tokens.weight', 'model.decoder.embed_tokens.weight', 'lm_head.weight'].

                                                 
{'train_runtime': 413.6641, 'train_samples_per_second': 16.419, 'train_steps_per_second': 0.653, 'train_loss': 2.365596493968257, 'epoch': 2.98}

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[WARNING|configuration_utils.py:448] 2024-09-27 08:15:07,015 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
[WARNING|configuration_utils.py:448] 2024-09-27 08:15:11,181 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}

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