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:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
  warnings.warn(
2024-07-04 00:18:59.628226: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-07-04 00:18:59.628318: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-07-04 00:18:59.760127: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
/opt/conda/lib/python3.10/site-packages/datasets/load.py:929: FutureWarning: The repository for data contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/data_interface/data.py
You can avoid this message in future by passing the argument `trust_remote_code=True`.
Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
  warnings.warn(

Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 401 examples [00:00, 8126.53 examples/s]

Running tokenizer on train dataset:   0%|          | 0/401 [00:00<?, ? examples/s]/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:3946: UserWarning: `as_target_tokenizer` is deprecated and will be removed in v5 of Transformers. You can tokenize your labels by using the argument `text_target` of the regular `__call__` method (either in the same call as your input texts if you use the same keyword arguments, or in a separate call.
  warnings.warn(

Running tokenizer on train dataset: 100%|██████████| 401/401 [00:00<00:00, 1666.35 examples/s]
Running tokenizer on train dataset: 100%|██████████| 401/401 [00:00<00:00, 1652.64 examples/s]
Saving cached train data ...

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/kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/main.py:283: FutureWarning: load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co./docs/evaluate
  metric = load_metric(path="metric/sacrebleu.py") if training_args.task == "amr2text" else None
/opt/conda/lib/python3.10/site-packages/datasets/load.py:855: FutureWarning: The repository for sacrebleu contains custom code which must be executed to correctly load the metric. You can inspect the repository content at metric/sacrebleu.py
You can avoid this message in future by passing the argument `trust_remote_code=True`.
Passing `trust_remote_code=True` will be mandatory to load this metric from the next major release of `datasets`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/optimization.py:588: 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 65536 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 0.17.4 is available!  To upgrade, please run:
wandb:  $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.17.0
wandb: Run data is saved locally in /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/wandb/run-20240704_001913-p0ipgqen
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/../outputs/indoamrbart-mbart-fted
wandb: ⭐️ View project at https://wandb.ai/abdiharyadi/huggingface
wandb: 🚀 View run at https://wandb.ai/abdiharyadi/huggingface/runs/p0ipgqen

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  self.pid = os.fork()

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{'loss': 8.604, 'learning_rate': 5e-09, 'epoch': 0.06}

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{'loss': 8.0873, 'learning_rate': 1e-07, 'epoch': 1.23}

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{'loss': 7.8074, 'learning_rate': 2e-07, 'epoch': 2.47}

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{'loss': 7.0763, 'learning_rate': 3e-07, 'epoch': 3.7}

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{'loss': 6.2969, 'learning_rate': 4e-07, 'epoch': 4.94}

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{'loss': 5.9334, 'learning_rate': 5e-07, 'epoch': 6.17}

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{'loss': 5.4919, 'learning_rate': 6e-07, 'epoch': 7.41}

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{'loss': 5.0659, 'learning_rate': 7e-07, 'epoch': 8.64}

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{'loss': 4.9089, 'learning_rate': 8e-07, 'epoch': 9.88}

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{'loss': 4.7144, 'learning_rate': 9e-07, 'epoch': 11.11}

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{'loss': 4.7373, 'learning_rate': 1e-06, 'epoch': 12.35}

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{'loss': 4.3848, 'learning_rate': 9.997245010407738e-07, 'epoch': 13.58}

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{'loss': 4.3457, 'learning_rate': 9.994490020815477e-07, 'epoch': 14.81}

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{'loss': 4.2217, 'learning_rate': 9.991735031223215e-07, 'epoch': 16.05}

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{'loss': 4.1273, 'learning_rate': 9.988980041630952e-07, 'epoch': 17.28}

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{'loss': 4.0123, 'learning_rate': 9.986225052038692e-07, 'epoch': 18.52}

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{'loss': 4.0784, 'learning_rate': 9.98347006244643e-07, 'epoch': 19.75}

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{'loss': 3.9415, 'learning_rate': 9.98071507285417e-07, 'epoch': 20.99}

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{'loss': 3.843, 'learning_rate': 9.977960083261906e-07, 'epoch': 22.22}

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{'loss': 3.8174, 'learning_rate': 9.975205093669647e-07, 'epoch': 23.46}

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{'loss': 3.7376, 'learning_rate': 9.972450104077383e-07, 'epoch': 24.69}

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{'loss': 3.7876, 'learning_rate': 9.969695114485122e-07, 'epoch': 25.93}

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{'loss': 3.7585, 'learning_rate': 9.96694012489286e-07, 'epoch': 27.16}

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{'loss': 3.6304, 'learning_rate': 9.9641851353006e-07, 'epoch': 28.4}

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{'loss': 3.6751, 'learning_rate': 9.961430145708338e-07, 'epoch': 29.63}

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{'loss': 3.677, 'learning_rate': 9.958675156116076e-07, 'epoch': 30.86}

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{'loss': 3.6556, 'learning_rate': 9.955920166523815e-07, 'epoch': 32.1}

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{'loss': 3.5897, 'learning_rate': 9.953165176931551e-07, 'epoch': 33.33}

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{'loss': 3.7304, 'learning_rate': 9.950410187339292e-07, 'epoch': 34.57}

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{'loss': 3.568, 'learning_rate': 9.94765519774703e-07, 'epoch': 35.8}

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{'loss': 3.6207, 'learning_rate': 9.94490020815477e-07, 'epoch': 37.04}

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{'loss': 3.4759, 'learning_rate': 9.942145218562508e-07, 'epoch': 38.27}

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{'loss': 3.4513, 'learning_rate': 9.939390228970246e-07, 'epoch': 39.51}

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{'loss': 3.372, 'learning_rate': 9.936635239377985e-07, 'epoch': 40.74}

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{'loss': 3.2601, 'learning_rate': 9.933880249785724e-07, 'epoch': 41.98}

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{'loss': 3.3071, 'learning_rate': 9.93112526019346e-07, 'epoch': 43.21}

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{'loss': 3.2768, 'learning_rate': 9.9283702706012e-07, 'epoch': 44.44}

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{'loss': 3.3103, 'learning_rate': 9.925615281008937e-07, 'epoch': 45.68}

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{'loss': 3.2807, 'learning_rate': 9.922860291416678e-07, 'epoch': 46.91}

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{'loss': 3.1839, 'learning_rate': 9.920105301824414e-07, 'epoch': 48.15}

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{'loss': 3.1689, 'learning_rate': 9.917350312232155e-07, 'epoch': 49.38}

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{'loss': 3.17, 'learning_rate': 9.914595322639892e-07, 'epoch': 50.62}

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{'loss': 3.1598, 'learning_rate': 9.91184033304763e-07, 'epoch': 51.85}

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{'loss': 3.1215, 'learning_rate': 9.909085343455369e-07, 'epoch': 53.09}

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{'loss': 3.102, 'learning_rate': 9.906330353863107e-07, 'epoch': 54.32}

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{'loss': 3.0819, 'learning_rate': 9.903575364270846e-07, 'epoch': 55.56}

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{'loss': 3.0729, 'learning_rate': 9.900820374678584e-07, 'epoch': 56.79}

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{'loss': 3.0639, 'learning_rate': 9.898065385086323e-07, 'epoch': 58.02}

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{'loss': 3.0172, 'learning_rate': 9.89531039549406e-07, 'epoch': 59.26}

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{'loss': 3.0463, 'learning_rate': 9.8925554059018e-07, 'epoch': 60.49}

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{'loss': 2.9424, 'learning_rate': 9.889800416309537e-07, 'epoch': 61.73}

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{'loss': 3.0018, 'learning_rate': 9.887045426717277e-07, 'epoch': 62.96}

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{'loss': 3.0268, 'learning_rate': 9.884290437125014e-07, 'epoch': 64.2}

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{'loss': 3.0157, 'learning_rate': 9.881535447532755e-07, 'epoch': 65.43}

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{'loss': 2.9853, 'learning_rate': 9.878780457940491e-07, 'epoch': 66.67}

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{'loss': 2.8881, 'learning_rate': 9.87602546834823e-07, 'epoch': 67.9}

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{'loss': 2.965, 'learning_rate': 9.873270478755968e-07, 'epoch': 69.14}

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{'loss': 2.9127, 'learning_rate': 9.870515489163707e-07, 'epoch': 70.37}

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{'loss': 2.8881, 'learning_rate': 9.867760499571445e-07, 'epoch': 71.6}

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{'loss': 2.8964, 'learning_rate': 9.865005509979184e-07, 'epoch': 72.84}

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{'loss': 2.932, 'learning_rate': 9.862250520386923e-07, 'epoch': 74.07}

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{'loss': 2.9062, 'learning_rate': 9.85949553079466e-07, 'epoch': 75.31}

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{'loss': 2.9141, 'learning_rate': 9.8567405412024e-07, 'epoch': 76.54}

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{'loss': 2.8072, 'learning_rate': 9.853985551610136e-07, 'epoch': 77.78}

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{'loss': 2.8403, 'learning_rate': 9.851230562017877e-07, 'epoch': 79.01}

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{'loss': 2.8484, 'learning_rate': 9.848475572425613e-07, 'epoch': 80.25}

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{'loss': 2.8565, 'learning_rate': 9.845720582833354e-07, 'epoch': 81.48}

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{'loss': 2.8241, 'learning_rate': 9.842965593241093e-07, 'epoch': 82.72}

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{'loss': 2.8383, 'learning_rate': 9.840210603648831e-07, 'epoch': 83.95}

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{'loss': 2.8188, 'learning_rate': 9.837455614056568e-07, 'epoch': 85.19}

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{'loss': 2.8681, 'learning_rate': 9.834700624464309e-07, 'epoch': 86.42}

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{'loss': 2.7453, 'learning_rate': 9.831945634872045e-07, 'epoch': 87.65}

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{'loss': 2.7488, 'learning_rate': 9.829190645279786e-07, 'epoch': 88.89}

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{'loss': 2.7859, 'learning_rate': 9.826435655687522e-07, 'epoch': 90.12}

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{'loss': 2.8079, 'learning_rate': 9.82368066609526e-07, 'epoch': 91.36}

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{'loss': 2.717, 'learning_rate': 9.820925676503e-07, 'epoch': 92.59}

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{'loss': 2.7502, 'learning_rate': 9.818170686910738e-07, 'epoch': 93.83}

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{'loss': 2.7395, 'learning_rate': 9.815415697318477e-07, 'epoch': 95.06}

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{'loss': 2.7172, 'learning_rate': 9.812660707726215e-07, 'epoch': 96.3}

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{'loss': 2.6894, 'learning_rate': 9.809905718133954e-07, 'epoch': 97.53}

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{'loss': 2.7527, 'learning_rate': 9.807150728541692e-07, 'epoch': 98.77}

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{'loss': 2.7461, 'learning_rate': 9.80439573894943e-07, 'epoch': 100.0}

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{'loss': 2.782, 'learning_rate': 9.801640749357167e-07, 'epoch': 101.23}

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{'loss': 2.7753, 'learning_rate': 9.798885759764908e-07, 'epoch': 102.47}

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{'loss': 2.7902, 'learning_rate': 9.796130770172645e-07, 'epoch': 103.7}

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{'loss': 2.7305, 'learning_rate': 9.793375780580385e-07, 'epoch': 104.94}

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{'loss': 2.7476, 'learning_rate': 9.790620790988122e-07, 'epoch': 106.17}

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{'loss': 2.715, 'learning_rate': 9.787865801395862e-07, 'epoch': 107.41}

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{'loss': 2.6883, 'learning_rate': 9.785110811803599e-07, 'epoch': 108.64}

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{'loss': 2.6921, 'learning_rate': 9.782355822211337e-07, 'epoch': 109.88}

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{'loss': 2.7132, 'learning_rate': 9.779600832619076e-07, 'epoch': 111.11}

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{'loss': 2.6779, 'learning_rate': 9.776845843026815e-07, 'epoch': 112.35}

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{'loss': 2.6119, 'learning_rate': 9.774090853434553e-07, 'epoch': 113.58}

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{'loss': 2.6716, 'learning_rate': 9.771335863842292e-07, 'epoch': 114.81}

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{'loss': 2.6666, 'learning_rate': 9.76858087425003e-07, 'epoch': 116.05}

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{'loss': 2.6476, 'learning_rate': 9.765825884657767e-07, 'epoch': 117.28}

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{'loss': 2.6393, 'learning_rate': 9.763070895065508e-07, 'epoch': 118.52}

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{'loss': 2.627, 'learning_rate': 9.760315905473244e-07, 'epoch': 119.75}

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{'loss': 2.6067, 'learning_rate': 9.757560915880985e-07, 'epoch': 120.99}

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{'loss': 2.6015, 'learning_rate': 9.754805926288721e-07, 'epoch': 122.22}

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{'loss': 2.6428, 'learning_rate': 9.752050936696462e-07, 'epoch': 123.46}

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{'loss': 2.6251, 'learning_rate': 9.749295947104198e-07, 'epoch': 124.69}

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{'loss': 2.655, 'learning_rate': 9.746540957511937e-07, 'epoch': 125.93}

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{'loss': 2.5351, 'learning_rate': 9.743785967919676e-07, 'epoch': 127.16}

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{'loss': 2.582, 'learning_rate': 9.741030978327416e-07, 'epoch': 128.4}

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{'loss': 2.5874, 'learning_rate': 9.738275988735153e-07, 'epoch': 129.63}

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{'loss': 2.5603, 'learning_rate': 9.735520999142893e-07, 'epoch': 130.86}

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{'loss': 2.5398, 'learning_rate': 9.73276600955063e-07, 'epoch': 132.1}

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{'loss': 2.5265, 'learning_rate': 9.730011019958369e-07, 'epoch': 133.33}

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{'loss': 2.6271, 'learning_rate': 9.727256030366107e-07, 'epoch': 134.57}

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{'loss': 2.5626, 'learning_rate': 9.724501040773846e-07, 'epoch': 135.8}

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{'loss': 2.5425, 'learning_rate': 9.721746051181584e-07, 'epoch': 137.04}

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{'loss': 2.5251, 'learning_rate': 9.718991061589323e-07, 'epoch': 138.27}

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{'loss': 2.5817, 'learning_rate': 9.716236071997061e-07, 'epoch': 139.51}

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{'loss': 2.4888, 'learning_rate': 9.7134810824048e-07, 'epoch': 140.74}

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{'loss': 2.5426, 'learning_rate': 9.710726092812539e-07, 'epoch': 141.98}

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{'loss': 2.5293, 'learning_rate': 9.707971103220275e-07, 'epoch': 143.21}

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{'loss': 2.4874, 'learning_rate': 9.705216113628016e-07, 'epoch': 144.44}

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{'loss': 2.5487, 'learning_rate': 9.702461124035752e-07, 'epoch': 145.68}

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{'loss': 2.5153, 'learning_rate': 9.699706134443493e-07, 'epoch': 146.91}

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{'loss': 2.4468, 'learning_rate': 9.69695114485123e-07, 'epoch': 148.15}

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{'loss': 2.4731, 'learning_rate': 9.69419615525897e-07, 'epoch': 149.38}

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{'loss': 2.5007, 'learning_rate': 9.691441165666707e-07, 'epoch': 150.62}

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{'loss': 2.4948, 'learning_rate': 9.688686176074445e-07, 'epoch': 151.85}

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{'loss': 2.4867, 'learning_rate': 9.685931186482184e-07, 'epoch': 153.09}

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{'loss': 2.4654, 'learning_rate': 9.683176196889922e-07, 'epoch': 154.32}

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{'loss': 2.4621, 'learning_rate': 9.68042120729766e-07, 'epoch': 155.56}

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{'loss': 2.4738, 'learning_rate': 9.6776662177054e-07, 'epoch': 156.79}

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{'loss': 2.4562, 'learning_rate': 9.674911228113138e-07, 'epoch': 158.02}

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{'loss': 2.4937, 'learning_rate': 9.672156238520875e-07, 'epoch': 159.26}

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{'loss': 2.4574, 'learning_rate': 9.669401248928615e-07, 'epoch': 160.49}

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{'loss': 2.4642, 'learning_rate': 9.666646259336352e-07, 'epoch': 161.73}

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{'loss': 2.4736, 'learning_rate': 9.663891269744093e-07, 'epoch': 162.96}

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{'loss': 2.4926, 'learning_rate': 9.66113628015183e-07, 'epoch': 164.2}

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{'loss': 2.4323, 'learning_rate': 9.65838129055957e-07, 'epoch': 165.43}

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{'loss': 2.4508, 'learning_rate': 9.655626300967306e-07, 'epoch': 166.67}

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{'loss': 2.4295, 'learning_rate': 9.652871311375045e-07, 'epoch': 167.9}

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{'loss': 2.4753, 'learning_rate': 9.650116321782783e-07, 'epoch': 169.14}

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{'loss': 2.4323, 'learning_rate': 9.647361332190522e-07, 'epoch': 170.37}

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{'loss': 2.392, 'learning_rate': 9.64460634259826e-07, 'epoch': 171.6}

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{'loss': 2.4579, 'learning_rate': 9.641851353006e-07, 'epoch': 172.84}

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{'loss': 2.4091, 'learning_rate': 9.639096363413738e-07, 'epoch': 174.07}

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{'loss': 2.3802, 'learning_rate': 9.636341373821476e-07, 'epoch': 175.31}

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{'loss': 2.3483, 'learning_rate': 9.633586384229215e-07, 'epoch': 176.54}

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{'loss': 2.374, 'learning_rate': 9.630831394636953e-07, 'epoch': 177.78}

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{'loss': 2.414, 'learning_rate': 9.628076405044692e-07, 'epoch': 179.01}

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{'loss': 2.3971, 'learning_rate': 9.62532141545243e-07, 'epoch': 180.25}

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{'loss': 2.3508, 'learning_rate': 9.62256642586017e-07, 'epoch': 181.48}

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{'loss': 2.4072, 'learning_rate': 9.619811436267908e-07, 'epoch': 182.72}

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{'loss': 2.3853, 'learning_rate': 9.617056446675646e-07, 'epoch': 183.95}

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{'loss': 2.4256, 'learning_rate': 9.614301457083383e-07, 'epoch': 185.19}

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{'loss': 2.3795, 'learning_rate': 9.611546467491124e-07, 'epoch': 186.42}

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{'loss': 2.3763, 'learning_rate': 9.60879147789886e-07, 'epoch': 187.65}

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{'loss': 2.3474, 'learning_rate': 9.6060364883066e-07, 'epoch': 188.89}

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{'loss': 2.4074, 'learning_rate': 9.603281498714337e-07, 'epoch': 190.12}

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{'loss': 2.3438, 'learning_rate': 9.600526509122076e-07, 'epoch': 191.36}

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{'loss': 2.3209, 'learning_rate': 9.597771519529814e-07, 'epoch': 192.59}

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{'loss': 2.3364, 'learning_rate': 9.595016529937553e-07, 'epoch': 193.83}

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{'loss': 2.3624, 'learning_rate': 9.592261540345292e-07, 'epoch': 195.06}

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{'loss': 2.3004, 'learning_rate': 9.58950655075303e-07, 'epoch': 196.3}

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{'loss': 2.2904, 'learning_rate': 9.586751561160769e-07, 'epoch': 197.53}

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{'loss': 2.2971, 'learning_rate': 9.583996571568507e-07, 'epoch': 198.77}

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{'loss': 2.3364, 'learning_rate': 9.581241581976246e-07, 'epoch': 200.0}

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{'loss': 2.3191, 'learning_rate': 9.578486592383982e-07, 'epoch': 201.23}

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{'loss': 2.3663, 'learning_rate': 9.575731602791723e-07, 'epoch': 202.47}

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{'loss': 2.3649, 'learning_rate': 9.57297661319946e-07, 'epoch': 203.7}

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{'loss': 2.2762, 'learning_rate': 9.5702216236072e-07, 'epoch': 204.94}

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{'loss': 2.315, 'learning_rate': 9.567466634014937e-07, 'epoch': 206.17}

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{'loss': 2.2924, 'learning_rate': 9.564711644422677e-07, 'epoch': 207.41}

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{'loss': 2.2383, 'learning_rate': 9.561956654830414e-07, 'epoch': 208.64}

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{'loss': 2.2903, 'learning_rate': 9.559201665238153e-07, 'epoch': 209.88}

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{'loss': 2.3423, 'learning_rate': 9.556446675645891e-07, 'epoch': 211.11}

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{'loss': 2.2747, 'learning_rate': 9.55369168605363e-07, 'epoch': 212.35}

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{'loss': 2.2997, 'learning_rate': 9.550936696461368e-07, 'epoch': 213.58}

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{'loss': 2.2166, 'learning_rate': 9.548181706869107e-07, 'epoch': 214.81}

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{'loss': 2.349, 'learning_rate': 9.545426717276845e-07, 'epoch': 216.05}

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{'loss': 2.2522, 'learning_rate': 9.542671727684582e-07, 'epoch': 217.28}

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{'loss': 2.2854, 'learning_rate': 9.539916738092323e-07, 'epoch': 218.52}

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{'loss': 2.2806, 'learning_rate': 9.537161748500061e-07, 'epoch': 219.75}

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{'loss': 2.233, 'learning_rate': 9.5344067589078e-07, 'epoch': 220.99}

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{'loss': 2.2588, 'learning_rate': 9.531651769315538e-07, 'epoch': 222.22}

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{'loss': 2.2729, 'learning_rate': 9.528896779723277e-07, 'epoch': 223.46}

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{'loss': 2.2818, 'learning_rate': 9.526141790131015e-07, 'epoch': 224.69}

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{'loss': 2.2291, 'learning_rate': 9.523386800538753e-07, 'epoch': 225.93}

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{'loss': 2.2552, 'learning_rate': 9.520631810946491e-07, 'epoch': 227.16}

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{'loss': 2.2028, 'learning_rate': 9.51787682135423e-07, 'epoch': 228.4}

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{'loss': 2.1948, 'learning_rate': 9.515121831761969e-07, 'epoch': 229.63}

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{'loss': 2.2981, 'learning_rate': 9.512366842169707e-07, 'epoch': 230.86}

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{'loss': 2.2519, 'learning_rate': 9.509611852577446e-07, 'epoch': 232.1}

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{'loss': 2.2159, 'learning_rate': 9.506856862985184e-07, 'epoch': 233.33}

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{'loss': 2.2122, 'learning_rate': 9.504101873392922e-07, 'epoch': 234.57}

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{'loss': 2.2165, 'learning_rate': 9.501346883800661e-07, 'epoch': 235.8}

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{'loss': 2.2362, 'learning_rate': 9.498591894208399e-07, 'epoch': 237.04}

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{'loss': 2.1995, 'learning_rate': 9.495836904616138e-07, 'epoch': 238.27}

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{'loss': 2.248, 'learning_rate': 9.493081915023877e-07, 'epoch': 239.51}

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{'loss': 2.1703, 'learning_rate': 9.490326925431615e-07, 'epoch': 240.74}

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{'loss': 2.1987, 'learning_rate': 9.487571935839353e-07, 'epoch': 241.98}

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{'loss': 2.2023, 'learning_rate': 9.484816946247091e-07, 'epoch': 243.21}

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{'loss': 2.2292, 'learning_rate': 9.48206195665483e-07, 'epoch': 244.44}

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{'loss': 2.1746, 'learning_rate': 9.479306967062568e-07, 'epoch': 245.68}

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{'loss': 2.1809, 'learning_rate': 9.476551977470307e-07, 'epoch': 246.91}

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{'loss': 2.1631, 'learning_rate': 9.473796987878046e-07, 'epoch': 248.15}

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{'loss': 2.1437, 'learning_rate': 9.471041998285784e-07, 'epoch': 249.38}

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{'loss': 2.1719, 'learning_rate': 9.468287008693522e-07, 'epoch': 250.62}

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{'loss': 2.1754, 'learning_rate': 9.46553201910126e-07, 'epoch': 251.85}

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{'loss': 2.172, 'learning_rate': 9.462777029508999e-07, 'epoch': 253.09}

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{'loss': 2.2135, 'learning_rate': 9.460022039916737e-07, 'epoch': 254.32}

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{'loss': 2.1143, 'learning_rate': 9.457267050324476e-07, 'epoch': 255.56}

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{'loss': 2.1804, 'learning_rate': 9.454512060732215e-07, 'epoch': 256.79}

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{'loss': 2.147, 'learning_rate': 9.451757071139952e-07, 'epoch': 258.02}

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{'loss': 2.1618, 'learning_rate': 9.449002081547691e-07, 'epoch': 259.26}

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{'loss': 2.1434, 'learning_rate': 9.446247091955429e-07, 'epoch': 260.49}

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{'loss': 2.1535, 'learning_rate': 9.443492102363168e-07, 'epoch': 261.73}

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{'loss': 2.2116, 'learning_rate': 9.440737112770907e-07, 'epoch': 262.96}

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{'loss': 2.1857, 'learning_rate': 9.437982123178645e-07, 'epoch': 264.2}

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{'loss': 2.1337, 'learning_rate': 9.435227133586384e-07, 'epoch': 265.43}

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{'loss': 2.1554, 'learning_rate': 9.432472143994122e-07, 'epoch': 266.67}

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{'loss': 2.1565, 'learning_rate': 9.429717154401861e-07, 'epoch': 267.9}

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{'loss': 2.168, 'learning_rate': 9.4269621648096e-07, 'epoch': 269.14}

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{'loss': 2.1392, 'learning_rate': 9.424207175217338e-07, 'epoch': 270.37}

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{'loss': 2.1726, 'learning_rate': 9.421452185625077e-07, 'epoch': 271.6}

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{'loss': 2.135, 'learning_rate': 9.418697196032815e-07, 'epoch': 272.84}

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{'loss': 2.1329, 'learning_rate': 9.415942206440553e-07, 'epoch': 274.07}

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{'loss': 2.1334, 'learning_rate': 9.413187216848291e-07, 'epoch': 275.31}

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{'loss': 2.1309, 'learning_rate': 9.41043222725603e-07, 'epoch': 276.54}

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{'loss': 2.0872, 'learning_rate': 9.407677237663769e-07, 'epoch': 277.78}

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{'loss': 2.1426, 'learning_rate': 9.404922248071507e-07, 'epoch': 279.01}

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{'loss': 2.1331, 'learning_rate': 9.402167258479246e-07, 'epoch': 280.25}

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{'loss': 2.0859, 'learning_rate': 9.399412268886984e-07, 'epoch': 281.48}

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{'loss': 2.0755, 'learning_rate': 9.396657279294723e-07, 'epoch': 282.72}

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{'loss': 2.1203, 'learning_rate': 9.39390228970246e-07, 'epoch': 283.95}

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{'loss': 2.0846, 'learning_rate': 9.391147300110199e-07, 'epoch': 285.19}

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{'loss': 2.1284, 'learning_rate': 9.388392310517938e-07, 'epoch': 286.42}

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{'loss': 2.107, 'learning_rate': 9.385637320925677e-07, 'epoch': 287.65}

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{'loss': 2.2206, 'learning_rate': 9.382882331333415e-07, 'epoch': 288.89}

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{'loss': 2.2475, 'learning_rate': 9.380127341741153e-07, 'epoch': 290.12}

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{'loss': 2.1887, 'learning_rate': 9.377372352148891e-07, 'epoch': 291.36}

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{'loss': 2.1352, 'learning_rate': 9.37461736255663e-07, 'epoch': 292.59}

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{'loss': 2.1565, 'learning_rate': 9.371862372964368e-07, 'epoch': 293.83}

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{'loss': 2.1574, 'learning_rate': 9.369107383372107e-07, 'epoch': 295.06}

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{'loss': 2.1384, 'learning_rate': 9.366352393779845e-07, 'epoch': 296.3}

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{'loss': 2.1534, 'learning_rate': 9.363597404187584e-07, 'epoch': 297.53}

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{'loss': 2.0941, 'learning_rate': 9.360842414595322e-07, 'epoch': 298.77}

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{'loss': 2.101, 'learning_rate': 9.35808742500306e-07, 'epoch': 300.0}

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{'loss': 2.1181, 'learning_rate': 9.355332435410799e-07, 'epoch': 301.23}

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{'loss': 2.0771, 'learning_rate': 9.352577445818537e-07, 'epoch': 302.47}

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{'loss': 2.0886, 'learning_rate': 9.349822456226276e-07, 'epoch': 303.7}

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{'loss': 2.0715, 'learning_rate': 9.347067466634014e-07, 'epoch': 304.94}

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{'loss': 2.0883, 'learning_rate': 9.344312477041753e-07, 'epoch': 306.17}

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{'loss': 2.0767, 'learning_rate': 9.34155748744949e-07, 'epoch': 307.41}

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{'loss': 2.0757, 'learning_rate': 9.338802497857229e-07, 'epoch': 308.64}

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{'loss': 2.0775, 'learning_rate': 9.336047508264968e-07, 'epoch': 309.88}

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{'loss': 2.0763, 'learning_rate': 9.333292518672707e-07, 'epoch': 311.11}

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{'loss': 2.065, 'learning_rate': 9.330537529080446e-07, 'epoch': 312.35}

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{'loss': 2.0996, 'learning_rate': 9.327782539488184e-07, 'epoch': 313.58}

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{'loss': 2.0837, 'learning_rate': 9.325027549895923e-07, 'epoch': 314.81}

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{'loss': 2.0985, 'learning_rate': 9.322272560303662e-07, 'epoch': 316.05}

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{'loss': 2.0662, 'learning_rate': 9.319517570711399e-07, 'epoch': 317.28}

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{'loss': 2.1054, 'learning_rate': 9.316762581119138e-07, 'epoch': 318.52}

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{'loss': 2.0688, 'learning_rate': 9.314007591526876e-07, 'epoch': 319.75}

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{'loss': 2.06, 'learning_rate': 9.311252601934615e-07, 'epoch': 320.99}

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{'loss': 2.0608, 'learning_rate': 9.308497612342353e-07, 'epoch': 322.22}

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{'loss': 2.0238, 'learning_rate': 9.305742622750092e-07, 'epoch': 323.46}

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{'loss': 2.0672, 'learning_rate': 9.30298763315783e-07, 'epoch': 324.69}

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{'loss': 2.0045, 'learning_rate': 9.300232643565568e-07, 'epoch': 325.93}

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{'loss': 2.0297, 'learning_rate': 9.297477653973307e-07, 'epoch': 327.16}

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{'loss': 2.0939, 'learning_rate': 9.294722664381045e-07, 'epoch': 328.4}

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{'loss': 2.0309, 'learning_rate': 9.291967674788784e-07, 'epoch': 329.63}

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{'loss': 2.0221, 'learning_rate': 9.289212685196523e-07, 'epoch': 330.86}

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{'loss': 2.0629, 'learning_rate': 9.286457695604261e-07, 'epoch': 332.1}

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{'loss': 2.0113, 'learning_rate': 9.283702706011999e-07, 'epoch': 333.33}

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{'loss': 2.0351, 'learning_rate': 9.280947716419737e-07, 'epoch': 334.57}

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{'loss': 2.0535, 'learning_rate': 9.278192726827476e-07, 'epoch': 335.8}

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{'loss': 2.0653, 'learning_rate': 9.275437737235214e-07, 'epoch': 337.04}

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{'loss': 2.0103, 'learning_rate': 9.272682747642953e-07, 'epoch': 338.27}

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{'loss': 2.0367, 'learning_rate': 9.269927758050692e-07, 'epoch': 339.51}

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{'loss': 1.9869, 'learning_rate': 9.267172768458429e-07, 'epoch': 340.74}

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{'loss': 2.0831, 'learning_rate': 9.264417778866168e-07, 'epoch': 341.98}

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{'loss': 2.0198, 'learning_rate': 9.261662789273906e-07, 'epoch': 343.21}

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{'loss': 2.0057, 'learning_rate': 9.258907799681645e-07, 'epoch': 344.44}

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{'loss': 1.9973, 'learning_rate': 9.256152810089383e-07, 'epoch': 345.68}

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{'loss': 2.0431, 'learning_rate': 9.253397820497122e-07, 'epoch': 346.91}

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{'loss': 2.0132, 'learning_rate': 9.250642830904861e-07, 'epoch': 348.15}

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{'loss': 2.0589, 'learning_rate': 9.247887841312599e-07, 'epoch': 349.38}

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{'loss': 1.9975, 'learning_rate': 9.245132851720337e-07, 'epoch': 350.62}

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{'loss': 2.0196, 'learning_rate': 9.242377862128075e-07, 'epoch': 351.85}

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{'loss': 1.9605, 'learning_rate': 9.239622872535814e-07, 'epoch': 353.09}

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{'loss': 2.0043, 'learning_rate': 9.236867882943551e-07, 'epoch': 354.32}

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{'loss': 1.9835, 'learning_rate': 9.234112893351291e-07, 'epoch': 355.56}

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{'loss': 2.0274, 'learning_rate': 9.23135790375903e-07, 'epoch': 356.79}

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{'loss': 2.0303, 'learning_rate': 9.228602914166768e-07, 'epoch': 358.02}

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{'loss': 1.9691, 'learning_rate': 9.225847924574507e-07, 'epoch': 359.26}

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{'loss': 2.0049, 'learning_rate': 9.223092934982245e-07, 'epoch': 360.49}

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{'loss': 1.9652, 'learning_rate': 9.220337945389984e-07, 'epoch': 361.73}

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{'loss': 2.019, 'learning_rate': 9.217582955797723e-07, 'epoch': 362.96}

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{'loss': 1.9819, 'learning_rate': 9.214827966205461e-07, 'epoch': 364.2}

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{'loss': 2.0201, 'learning_rate': 9.2120729766132e-07, 'epoch': 365.43}

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{'loss': 1.9934, 'learning_rate': 9.209317987020937e-07, 'epoch': 366.67}

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{'loss': 1.9566, 'learning_rate': 9.206562997428676e-07, 'epoch': 367.9}

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{'loss': 1.9902, 'learning_rate': 9.203808007836415e-07, 'epoch': 369.14}

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{'loss': 2.0059, 'learning_rate': 9.201053018244152e-07, 'epoch': 370.37}

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{'loss': 1.988, 'learning_rate': 9.198298028651892e-07, 'epoch': 371.6}

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{'loss': 1.9659, 'learning_rate': 9.19554303905963e-07, 'epoch': 372.84}

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{'loss': 2.0319, 'learning_rate': 9.192788049467368e-07, 'epoch': 374.07}

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{'loss': 1.9308, 'learning_rate': 9.190033059875106e-07, 'epoch': 375.31}

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{'loss': 1.967, 'learning_rate': 9.187278070282845e-07, 'epoch': 376.54}

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{'loss': 2.0184, 'learning_rate': 9.184523080690584e-07, 'epoch': 377.78}

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{'loss': 1.9865, 'learning_rate': 9.181768091098322e-07, 'epoch': 379.01}

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{'loss': 1.9415, 'learning_rate': 9.179013101506061e-07, 'epoch': 380.25}

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{'loss': 1.9619, 'learning_rate': 9.176258111913799e-07, 'epoch': 381.48}

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{'loss': 1.949, 'learning_rate': 9.173503122321538e-07, 'epoch': 382.72}

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{'loss': 1.9467, 'learning_rate': 9.170748132729275e-07, 'epoch': 383.95}

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{'loss': 1.9691, 'learning_rate': 9.167993143137014e-07, 'epoch': 385.19}

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{'loss': 1.9643, 'learning_rate': 9.165238153544753e-07, 'epoch': 386.42}

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{'loss': 1.942, 'learning_rate': 9.162483163952491e-07, 'epoch': 387.65}

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{'loss': 1.9002, 'learning_rate': 9.15972817436023e-07, 'epoch': 388.89}

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{'loss': 1.9965, 'learning_rate': 9.156973184767968e-07, 'epoch': 390.12}

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{'loss': 1.9343, 'learning_rate': 9.154218195175706e-07, 'epoch': 391.36}

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{'loss': 1.931, 'learning_rate': 9.151463205583446e-07, 'epoch': 392.59}

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{'loss': 1.9628, 'learning_rate': 9.148708215991183e-07, 'epoch': 393.83}

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{'loss': 1.9752, 'learning_rate': 9.145953226398922e-07, 'epoch': 395.06}

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{'loss': 1.9499, 'learning_rate': 9.14319823680666e-07, 'epoch': 396.3}

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{'loss': 1.9546, 'learning_rate': 9.140443247214399e-07, 'epoch': 397.53}

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{'loss': 1.8583, 'learning_rate': 9.137688257622137e-07, 'epoch': 398.77}

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{'loss': 1.9405, 'learning_rate': 9.134933268029875e-07, 'epoch': 400.0}

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{'loss': 1.941, 'learning_rate': 9.132178278437614e-07, 'epoch': 401.23}

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{'loss': 1.9432, 'learning_rate': 9.129423288845352e-07, 'epoch': 402.47}

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{'loss': 1.9603, 'learning_rate': 9.126668299253092e-07, 'epoch': 403.7}

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{'loss': 1.9456, 'learning_rate': 9.12391330966083e-07, 'epoch': 404.94}

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{'loss': 1.9488, 'learning_rate': 9.121158320068569e-07, 'epoch': 406.17}

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{'loss': 1.9248, 'learning_rate': 9.118403330476307e-07, 'epoch': 407.41}

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{'loss': 1.8897, 'learning_rate': 9.115648340884045e-07, 'epoch': 408.64}

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{'loss': 1.9315, 'learning_rate': 9.112893351291784e-07, 'epoch': 409.88}

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{'loss': 1.9599, 'learning_rate': 9.110138361699522e-07, 'epoch': 411.11}

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{'loss': 1.9441, 'learning_rate': 9.107383372107261e-07, 'epoch': 412.35}

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{'loss': 1.8974, 'learning_rate': 9.104628382515e-07, 'epoch': 413.58}

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{'loss': 1.9078, 'learning_rate': 9.101873392922738e-07, 'epoch': 414.81}

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{'loss': 1.9587, 'learning_rate': 9.099118403330477e-07, 'epoch': 416.05}

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{'loss': 2.0016, 'learning_rate': 9.096363413738214e-07, 'epoch': 417.28}

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{'loss': 1.9557, 'learning_rate': 9.093608424145953e-07, 'epoch': 418.52}

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{'loss': 1.9719, 'learning_rate': 9.090853434553691e-07, 'epoch': 419.75}

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{'loss': 1.9779, 'learning_rate': 9.08809844496143e-07, 'epoch': 420.99}

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{'loss': 1.9754, 'learning_rate': 9.085343455369169e-07, 'epoch': 422.22}

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{'loss': 2.0078, 'learning_rate': 9.082588465776907e-07, 'epoch': 423.46}

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{'loss': 1.9856, 'learning_rate': 9.079833476184645e-07, 'epoch': 424.69}

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{'loss': 1.9698, 'learning_rate': 9.077078486592383e-07, 'epoch': 425.93}

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{'loss': 1.9826, 'learning_rate': 9.074323497000122e-07, 'epoch': 427.16}

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{'loss': 1.9513, 'learning_rate': 9.07156850740786e-07, 'epoch': 428.4}

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{'loss': 1.93, 'learning_rate': 9.068813517815599e-07, 'epoch': 429.63}

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{'loss': 1.9779, 'learning_rate': 9.066058528223339e-07, 'epoch': 430.86}

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{'loss': 1.9937, 'learning_rate': 9.063303538631076e-07, 'epoch': 432.1}

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{'loss': 1.955, 'learning_rate': 9.060548549038814e-07, 'epoch': 433.33}

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{'loss': 1.9652, 'learning_rate': 9.057793559446552e-07, 'epoch': 434.57}

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{'loss': 1.9568, 'learning_rate': 9.055038569854291e-07, 'epoch': 435.8}

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{'loss': 1.9787, 'learning_rate': 9.05228358026203e-07, 'epoch': 437.04}

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{'loss': 1.9137, 'learning_rate': 9.049528590669768e-07, 'epoch': 438.27}

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{'loss': 1.9314, 'learning_rate': 9.046773601077507e-07, 'epoch': 439.51}

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{'loss': 1.9961, 'learning_rate': 9.044018611485244e-07, 'epoch': 440.74}

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{'loss': 1.9303, 'learning_rate': 9.041263621892983e-07, 'epoch': 441.98}

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{'loss': 1.982, 'learning_rate': 9.038508632300721e-07, 'epoch': 443.21}

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{'loss': 1.9133, 'learning_rate': 9.03575364270846e-07, 'epoch': 444.44}

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{'loss': 1.9376, 'learning_rate': 9.032998653116199e-07, 'epoch': 445.68}

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{'loss': 1.9254, 'learning_rate': 9.030243663523937e-07, 'epoch': 446.91}

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{'loss': 1.9491, 'learning_rate': 9.027488673931676e-07, 'epoch': 448.15}

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{'loss': 1.9455, 'learning_rate': 9.024733684339414e-07, 'epoch': 449.38}

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{'loss': 1.9128, 'learning_rate': 9.021978694747153e-07, 'epoch': 450.62}

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{'loss': 1.9006, 'learning_rate': 9.019223705154892e-07, 'epoch': 451.85}

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{'loss': 1.9172, 'learning_rate': 9.016468715562629e-07, 'epoch': 453.09}

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{'loss': 1.9754, 'learning_rate': 9.013713725970369e-07, 'epoch': 454.32}

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{'loss': 1.9759, 'learning_rate': 9.010958736378107e-07, 'epoch': 455.56}

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{'loss': 1.9452, 'learning_rate': 9.008203746785846e-07, 'epoch': 456.79}

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{'loss': 1.9618, 'learning_rate': 9.005448757193583e-07, 'epoch': 458.02}

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{'loss': 1.9364, 'learning_rate': 9.002693767601322e-07, 'epoch': 459.26}

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{'loss': 1.9513, 'learning_rate': 8.999938778009061e-07, 'epoch': 460.49}

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{'loss': 1.9473, 'learning_rate': 8.997183788416799e-07, 'epoch': 461.73}

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{'loss': 1.9159, 'learning_rate': 8.994428798824538e-07, 'epoch': 462.96}

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{'loss': 1.9195, 'learning_rate': 8.991673809232276e-07, 'epoch': 464.2}

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{'loss': 1.9647, 'learning_rate': 8.988918819640015e-07, 'epoch': 465.43}

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{'loss': 1.895, 'learning_rate': 8.986163830047752e-07, 'epoch': 466.67}

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{'loss': 1.9408, 'learning_rate': 8.983408840455491e-07, 'epoch': 467.9}

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{'loss': 1.978, 'learning_rate': 8.98065385086323e-07, 'epoch': 469.14}

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{'loss': 1.9085, 'learning_rate': 8.977898861270968e-07, 'epoch': 470.37}

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{'loss': 1.9833, 'learning_rate': 8.975143871678707e-07, 'epoch': 471.6}

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{'loss': 1.9559, 'learning_rate': 8.972388882086445e-07, 'epoch': 472.84}

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{'loss': 1.9333, 'learning_rate': 8.969633892494183e-07, 'epoch': 474.07}

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{'loss': 1.9075, 'learning_rate': 8.966878902901923e-07, 'epoch': 475.31}

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{'loss': 1.9343, 'learning_rate': 8.96412391330966e-07, 'epoch': 476.54}

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{'loss': 1.9107, 'learning_rate': 8.961368923717399e-07, 'epoch': 477.78}

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{'loss': 1.9344, 'learning_rate': 8.958613934125137e-07, 'epoch': 479.01}

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{'loss': 1.9044, 'learning_rate': 8.955858944532876e-07, 'epoch': 480.25}

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{'loss': 1.974, 'learning_rate': 8.953103954940614e-07, 'epoch': 481.48}

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{'loss': 1.9241, 'learning_rate': 8.950348965348353e-07, 'epoch': 482.72}

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{'loss': 1.9377, 'learning_rate': 8.947593975756091e-07, 'epoch': 483.95}

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{'loss': 1.9326, 'learning_rate': 8.944838986163829e-07, 'epoch': 485.19}

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{'loss': 1.9028, 'learning_rate': 8.942083996571568e-07, 'epoch': 486.42}

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{'loss': 1.8872, 'learning_rate': 8.939329006979306e-07, 'epoch': 487.65}

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{'loss': 1.904, 'learning_rate': 8.936574017387045e-07, 'epoch': 488.89}

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{'loss': 1.8897, 'learning_rate': 8.933819027794784e-07, 'epoch': 490.12}

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{'loss': 1.9026, 'learning_rate': 8.931064038202521e-07, 'epoch': 491.36}

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{'loss': 1.9287, 'learning_rate': 8.92830904861026e-07, 'epoch': 492.59}

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{'loss': 1.8277, 'learning_rate': 8.925554059017998e-07, 'epoch': 493.83}

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{'loss': 1.8716, 'learning_rate': 8.922799069425738e-07, 'epoch': 495.06}

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{'loss': 1.8907, 'learning_rate': 8.920044079833476e-07, 'epoch': 496.3}

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{'loss': 1.8754, 'learning_rate': 8.917289090241215e-07, 'epoch': 497.53}

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{'loss': 1.8713, 'learning_rate': 8.914534100648954e-07, 'epoch': 498.77}

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{'loss': 1.8645, 'learning_rate': 8.911779111056691e-07, 'epoch': 500.0}

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{'loss': 1.896, 'learning_rate': 8.90902412146443e-07, 'epoch': 501.23}

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{'loss': 1.8824, 'learning_rate': 8.906269131872168e-07, 'epoch': 502.47}

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{'loss': 1.8612, 'learning_rate': 8.903514142279907e-07, 'epoch': 503.7}

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{'loss': 1.8747, 'learning_rate': 8.900759152687646e-07, 'epoch': 504.94}

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{'loss': 1.8882, 'learning_rate': 8.898004163095384e-07, 'epoch': 506.17}

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{'loss': 1.8858, 'learning_rate': 8.895249173503122e-07, 'epoch': 507.41}

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{'loss': 1.8599, 'learning_rate': 8.89249418391086e-07, 'epoch': 508.64}

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{'loss': 1.9073, 'learning_rate': 8.889739194318599e-07, 'epoch': 509.88}

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{'loss': 1.9222, 'learning_rate': 8.886984204726337e-07, 'epoch': 511.11}

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{'loss': 1.904, 'learning_rate': 8.884229215134076e-07, 'epoch': 512.35}

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{'loss': 1.8662, 'learning_rate': 8.881474225541814e-07, 'epoch': 513.58}

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{'loss': 1.8384, 'learning_rate': 8.878719235949553e-07, 'epoch': 514.81}

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{'loss': 1.9238, 'learning_rate': 8.875964246357292e-07, 'epoch': 516.05}

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{'loss': 1.8626, 'learning_rate': 8.873209256765029e-07, 'epoch': 517.28}

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{'loss': 1.9077, 'learning_rate': 8.870454267172768e-07, 'epoch': 518.52}

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{'loss': 1.8783, 'learning_rate': 8.867699277580506e-07, 'epoch': 519.75}

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{'loss': 1.8721, 'learning_rate': 8.864944287988245e-07, 'epoch': 520.99}

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{'loss': 1.8961, 'learning_rate': 8.862189298395984e-07, 'epoch': 522.22}

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{'loss': 1.8552, 'learning_rate': 8.859434308803721e-07, 'epoch': 523.46}

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{'loss': 1.9263, 'learning_rate': 8.85667931921146e-07, 'epoch': 524.69}

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{'loss': 1.8674, 'learning_rate': 8.853924329619198e-07, 'epoch': 525.93}

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{'loss': 1.8876, 'learning_rate': 8.851169340026937e-07, 'epoch': 527.16}

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{'loss': 1.8834, 'learning_rate': 8.848414350434676e-07, 'epoch': 528.4}

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{'loss': 1.8467, 'learning_rate': 8.845659360842414e-07, 'epoch': 529.63}

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{'loss': 1.8957, 'learning_rate': 8.842904371250153e-07, 'epoch': 530.86}

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{'loss': 1.8911, 'learning_rate': 8.840149381657891e-07, 'epoch': 532.1}

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{'loss': 1.8994, 'learning_rate': 8.837394392065629e-07, 'epoch': 533.33}

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{'loss': 1.9276, 'learning_rate': 8.834639402473367e-07, 'epoch': 534.57}

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{'loss': 1.8605, 'learning_rate': 8.831884412881107e-07, 'epoch': 535.8}

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{'loss': 1.8733, 'learning_rate': 8.829129423288845e-07, 'epoch': 537.04}

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{'loss': 1.9128, 'learning_rate': 8.826374433696583e-07, 'epoch': 538.27}

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{'loss': 1.8563, 'learning_rate': 8.823619444104322e-07, 'epoch': 539.51}

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{'loss': 1.8647, 'learning_rate': 8.82086445451206e-07, 'epoch': 540.74}

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{'loss': 1.8478, 'learning_rate': 8.818109464919799e-07, 'epoch': 541.98}

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{'loss': 1.877, 'learning_rate': 8.815354475327538e-07, 'epoch': 543.21}

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{'loss': 1.8432, 'learning_rate': 8.812599485735276e-07, 'epoch': 544.44}

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{'loss': 1.8245, 'learning_rate': 8.809844496143015e-07, 'epoch': 545.68}

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{'loss': 1.841, 'learning_rate': 8.807089506550753e-07, 'epoch': 546.91}

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{'loss': 1.8609, 'learning_rate': 8.804334516958492e-07, 'epoch': 548.15}

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{'loss': 1.8815, 'learning_rate': 8.80157952736623e-07, 'epoch': 549.38}

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{'loss': 1.8866, 'learning_rate': 8.798824537773968e-07, 'epoch': 550.62}

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{'loss': 1.8573, 'learning_rate': 8.796069548181707e-07, 'epoch': 551.85}

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{'loss': 1.8837, 'learning_rate': 8.793314558589445e-07, 'epoch': 553.09}

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{'loss': 1.8875, 'learning_rate': 8.790559568997184e-07, 'epoch': 554.32}

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{'loss': 1.934, 'learning_rate': 8.787804579404922e-07, 'epoch': 555.56}

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{'loss': 1.9294, 'learning_rate': 8.78504958981266e-07, 'epoch': 556.79}

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{'loss': 2.0228, 'learning_rate': 8.782294600220397e-07, 'epoch': 558.02}

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{'loss': 2.0074, 'learning_rate': 8.779539610628137e-07, 'epoch': 559.26}

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{'loss': 1.8819, 'learning_rate': 8.776784621035876e-07, 'epoch': 560.49}

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{'loss': 1.8354, 'learning_rate': 8.774029631443614e-07, 'epoch': 561.73}

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{'loss': 1.8683, 'learning_rate': 8.771274641851353e-07, 'epoch': 562.96}

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{'loss': 1.8644, 'learning_rate': 8.768519652259091e-07, 'epoch': 564.2}

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{'loss': 1.8822, 'learning_rate': 8.76576466266683e-07, 'epoch': 565.43}

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{'loss': 1.8544, 'learning_rate': 8.763009673074568e-07, 'epoch': 566.67}

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{'loss': 1.8507, 'learning_rate': 8.760254683482306e-07, 'epoch': 567.9}

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{'loss': 1.8816, 'learning_rate': 8.757499693890045e-07, 'epoch': 569.14}

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{'loss': 1.7993, 'learning_rate': 8.754744704297783e-07, 'epoch': 570.37}

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{'loss': 1.8231, 'learning_rate': 8.751989714705522e-07, 'epoch': 571.6}

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{'loss': 1.8354, 'learning_rate': 8.74923472511326e-07, 'epoch': 572.84}

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{'loss': 1.8731, 'learning_rate': 8.746479735520998e-07, 'epoch': 574.07}

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{'loss': 1.8377, 'learning_rate': 8.743724745928737e-07, 'epoch': 575.31}

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{'loss': 1.8211, 'learning_rate': 8.740969756336475e-07, 'epoch': 576.54}

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{'loss': 1.8321, 'learning_rate': 8.738214766744214e-07, 'epoch': 577.78}

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{'loss': 1.8091, 'learning_rate': 8.735459777151952e-07, 'epoch': 579.01}

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{'loss': 1.7772, 'learning_rate': 8.732704787559691e-07, 'epoch': 580.25}

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{'loss': 1.7844, 'learning_rate': 8.72994979796743e-07, 'epoch': 581.48}

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{'loss': 1.7728, 'learning_rate': 8.727194808375168e-07, 'epoch': 582.72}

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{'loss': 1.7777, 'learning_rate': 8.724439818782906e-07, 'epoch': 583.95}

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{'loss': 1.7895, 'learning_rate': 8.721684829190644e-07, 'epoch': 585.19}

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{'loss': 1.7949, 'learning_rate': 8.718929839598383e-07, 'epoch': 586.42}

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{'loss': 1.7314, 'learning_rate': 8.716174850006122e-07, 'epoch': 587.65}

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{'loss': 1.7573, 'learning_rate': 8.713419860413861e-07, 'epoch': 588.89}

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{'loss': 1.7663, 'learning_rate': 8.710664870821599e-07, 'epoch': 590.12}

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{'loss': 1.8203, 'learning_rate': 8.707909881229337e-07, 'epoch': 591.36}

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{'loss': 1.8092, 'learning_rate': 8.705154891637076e-07, 'epoch': 592.59}

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{'loss': 1.7717, 'learning_rate': 8.702399902044814e-07, 'epoch': 593.83}

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{'loss': 1.7992, 'learning_rate': 8.699644912452553e-07, 'epoch': 595.06}

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{'loss': 1.7772, 'learning_rate': 8.69688992286029e-07, 'epoch': 596.3}

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{'loss': 1.7884, 'learning_rate': 8.69413493326803e-07, 'epoch': 597.53}

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{'loss': 1.7618, 'learning_rate': 8.691379943675769e-07, 'epoch': 598.77}

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{'loss': 1.7789, 'learning_rate': 8.688624954083506e-07, 'epoch': 600.0}

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{'loss': 1.7624, 'learning_rate': 8.685869964491245e-07, 'epoch': 601.23}

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{'loss': 1.7588, 'learning_rate': 8.683114974898983e-07, 'epoch': 602.47}

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{'loss': 1.793, 'learning_rate': 8.680359985306722e-07, 'epoch': 603.7}

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{'loss': 1.7527, 'learning_rate': 8.677604995714461e-07, 'epoch': 604.94}

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{'loss': 1.7472, 'learning_rate': 8.674850006122198e-07, 'epoch': 606.17}

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{'loss': 1.8087, 'learning_rate': 8.672095016529937e-07, 'epoch': 607.41}

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{'loss': 1.7727, 'learning_rate': 8.669340026937675e-07, 'epoch': 608.64}

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{'loss': 1.7672, 'learning_rate': 8.666585037345414e-07, 'epoch': 609.88}

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{'loss': 1.7614, 'learning_rate': 8.663830047753152e-07, 'epoch': 611.11}

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{'loss': 1.7775, 'learning_rate': 8.661075058160891e-07, 'epoch': 612.35}

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{'loss': 1.7512, 'learning_rate': 8.65832006856863e-07, 'epoch': 613.58}

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{'loss': 1.7858, 'learning_rate': 8.655565078976368e-07, 'epoch': 614.81}

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{'loss': 1.8064, 'learning_rate': 8.652810089384107e-07, 'epoch': 616.05}

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{'loss': 1.7649, 'learning_rate': 8.650055099791844e-07, 'epoch': 617.28}

 15%|█▌        | 10000/65536 [1:42:39<9:24:21,  1.64it/s]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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  self.pid = os.fork()

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{'loss': 1.8184, 'learning_rate': 8.647300110199584e-07, 'epoch': 618.52}

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{'loss': 1.7532, 'learning_rate': 8.644545120607322e-07, 'epoch': 619.75}

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{'loss': 1.7751, 'learning_rate': 8.64179013101506e-07, 'epoch': 620.99}

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