| --- |
| library_name: peft |
| base_model: HuggingFaceM4/idefics-9b-instruct |
| --- |
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| # Model Card for Model ID |
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| This is a IDEFICS 9B model trained with ppo on the frozenlake env. |
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| ## Model Details |
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| ### Trainer Hyperparameters |
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| 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 |
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| # 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 |
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| 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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| ### Model Sources [optional] |
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| <!-- Provide the basic links for the model. --> |
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| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
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| ## Uses |
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| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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| ### Direct Use |
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| <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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| [More Information Needed] |
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| ### Downstream Use [optional] |
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| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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| [More Information Needed] |
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| ### Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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| [More Information Needed] |
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| ## Bias, Risks, and Limitations |
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| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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| [More Information Needed] |
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| ### Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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| ## How to Get Started with the Model |
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| Use the code below to get started with the model. |
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| [More Information Needed] |
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| ## Training Details |
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| ### Training Data |
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| <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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| [More Information Needed] |
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| ### Training Procedure |
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| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| #### Preprocessing [optional] |
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| [More Information Needed] |
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| #### Training Hyperparameters |
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| - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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| #### Speeds, Sizes, Times [optional] |
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| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| [More Information Needed] |
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| ## Evaluation |
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| <!-- This section describes the evaluation protocols and provides the results. --> |
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| ### Testing Data, Factors & Metrics |
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| #### Testing Data |
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| <!-- This should link to a Dataset Card if possible. --> |
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| [More Information Needed] |
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| #### Factors |
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| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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| [More Information Needed] |
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| #### Metrics |
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| <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| [More Information Needed] |
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| ### Results |
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| [More Information Needed] |
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| #### Summary |
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| ## Model Examination [optional] |
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| <!-- Relevant interpretability work for the model goes here --> |
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| [More Information Needed] |
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| ## Environmental Impact |
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| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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| - **Hardware Type:** [More Information Needed] |
| - **Hours used:** [More Information Needed] |
| - **Cloud Provider:** [More Information Needed] |
| - **Compute Region:** [More Information Needed] |
| - **Carbon Emitted:** [More Information Needed] |
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| ## Technical Specifications [optional] |
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| ### Model Architecture and Objective |
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| [More Information Needed] |
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| ### Compute Infrastructure |
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| [More Information Needed] |
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| #### Hardware |
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| [More Information Needed] |
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| #### Software |
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| [More Information Needed] |
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| ## Citation [optional] |
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| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| [More Information Needed] |
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| **APA:** |
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| [More Information Needed] |
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| ## Glossary [optional] |
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| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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| [More Information Needed] |
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| ## More Information [optional] |
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| [More Information Needed] |
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| ## Model Card Authors [optional] |
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| [More Information Needed] |
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| ## Model Card Contact |
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| [More Information Needed] |
| ### Framework versions |
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| - PEFT 0.10.0 |
