| |
|
|
| mode: eval |
|
|
| eval: |
| fid_samples: 4096 |
| max_num_fid_batches_per_device: ${eval:'max(${eval.fid_samples} // (${trainer.devices} * ${loader.eval_batch_size}), 1)'} |
| compute_generative_perplexity: true |
| generate_samples: true |
| log_every_n_fid: 1 |
| log_every_n_evals: 1 |
| class_conditional_fid: false |
| txt_conditional_fid: true |
| calculate_clip_score: true |
| cfg: 5 |
| num_sample_batches: 2 |
| compute_standalone_mauve: false |
| mauve_num_samples: -1 |
| set_random_gen_seed: true |
| |
| compute_img_to_txt_mauve_clip: true |
| compute_img_to_txt_mauve_during_unconditional_fid: true |
| force_eval_uncond: true |
| ablation_config: true |
| compute_val_metrics_standalone: true |
| num_val_metrics_standalone_samples: 2000 |
|
|
| trainer: |
| disable_all_eval_generation: false |
| force_after_eos_padding: true |
|
|
| model: |
| image_model_fid_eval: true |
| use_kv_cache: ${is_ar:${parameterization}} |
|
|
| loader: |
| batch_size: 64 |
| eval_batch_size: 64 |
| num_workers: 0 |
| num_eval_workers: 1 |
|
|
| sampling: |
| steps: ${model.length} |
| max_sampling_steps: ${sampling.steps} |
| sampling_step_frac: null |
|
|
|
|
| data: |
| fid_dataset: null |
