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autotrained_spoof_detector

Edit model card Model Trained Using AutoTrain Validation Metrics Model Trained Using AutoTrain Problem type: Binary Classification Model ID: 2522377421 CO2 Emissions (in grams): 2.2511 Validation Metrics Loss: 0.502 Accuracy: 0.730 Precision: 0.717 Recall: 0.760 AUC: 0.790 F1: 0.738 Source link

ppo-BreakoutNoFrameskip-v4

Edit model card PPO Agent playing BreakoutNoFrameskip-v4 Evaluation Results Usage (with Stable-baselines3) Training Code PPO Agent playing BreakoutNoFrameskip-v4 This is a trained model of a PPO agent playing BreakoutNoFrameskip-v4 using the stable-baselines3 library. The training report: https://wandb.ai/simoninithomas/HFxSB3/reports/Atari-HFxSB3-Benchmark--VmlldzoxNjI3NTIy Evaluation Results Mean_reward: 339.0 Usage (with Stable-baselines3) You need to use gym==0.19…