add: tensorboard logs

runs/trl/1689231078.3204217/events.out.tfevents.1689231078.ce9d974090db.602.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e25330dab3eb1c56f8914423260f3f1e514a7774132c792adeec53e5274f96a8
+size 2087

runs/trl/1689231078.3220675/hparams.yml

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+accelerator_kwargs/logging_dir: /content/results/R-best-fine-tuned-bart-base-full-ft-reward_short_sentences_and_words-2023-07-13T06-49-08/runs
+adap_kl_ctrl: true
+batch_size: 64
+cliprange: 0.2
+cliprange_value: 0.2
+compare_steps: 100
+early_stopping: false
+forward_batch_size: null
+gamma: 1
+gradient_accumulation_steps: 1
+horizon: 10000
+init_kl_coef: 0.2
+lam: 0.95
+learning_rate: 1.0e-06
+log_with: tensorboard
+max_grad_norm: null
+mini_batch_size: 1
+model_name: R-best-fine-tuned-bart-base-full-ft-reward_short_sentences_and_words-2023-07-13T06-49-08
+optimize_cuda_cache: false
+ppo_epochs: 4
+push_to_hub_if_best_kwargs/commit_message: 'add: new best model'
+push_to_hub_if_best_kwargs/private: true
+push_to_hub_if_best_kwargs/repo_id: nlp-lab-2023-seq2seq/R-best-fine-tuned-bart-base-full-ft-reward_short_sentences_and_words-2023-07-13T06-49-08
+remove_unused_columns: true
+seed: 0
+steps: 10000
+target: 6
+target_kl: 0.1
+total_ppo_epochs: 157
+tracker_project_name: trl
+vf_coef: 0.1

runs/trl/events.out.tfevents.1689231078.ce9d974090db.602.0

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+size 2046