giobin/IDEFICS_frozenlake_rocket_trained

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This is a IDEFICS 9B model trained with ppo on the frozenlake env.

Model Details

Trainer Hyperparameters

suppress_warnings: True debug: True seed: 9812 reseed_env: True torch_deterministic: True track: True wandb_project_name: "frozenlake_idefics" wandb_entity: null #'rl-team-unito' wandb_log_dir: "${now:%Y-%m-%d_%H-%M-%S}" save_video: True save_video_every: 20 save_stats: True save_episode: False env_size: 244 env_area: 8 num_prompt_images: 1 use_text_description: True

Algorithm specific arguments

model: "HuggingFaceM4/idefics-9b-instruct" model_ckpt: null lora_adapter_path: null is_slippery: False fixed_orientation: True no_step_description: False first_person: True fov: 1

total_timesteps: 400000 disable_training: False from_accelerate_savestate_to_checkpoint: False learning_rate: 1e-5 critic_learning_rate: 1e-5 local_num_envs: 4 num_steps: 128 anneal_lr: False gamma: 0.99 gae_lambda: 0.95 num_minibatches: 128 update_epochs: 1 norm_adv: True clip_coef: 0.1 clip_vloss: True ent_coef: 0.01 #0.01 vf_coef: 0.5 max_grad_norm: 0.5 target_kl: null save_every: 50 gradient_accumulation: 4 adam_epsilon: 1e-8 gradient_ckpt: False lora: True temperature: 'max_logit' disable_adapters_for_generation: True normalization_by_words: False action_logits_from_whole_seq: True advanced_action_matching: False env_id: "FrozenLakeText-v0" # MiniGrid-LavaGapS7-v0 generate_actions: False value_prompt_template: "I am the agent in this minigrid world. {} Avoid the traps!\nWhat's the next best action?" action_template: " Based on the information provided, the next best action would be to {}" possible_actions_list: "forward pickup toggle opt_left opt_right opt_back"

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Training Details

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Training Procedure

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Framework versions

• PEFT 0.10.0