|
|
|
|
|
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 |
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num_val_metrics_standalone_samples: 2000 |
|
|
|
trainer: |
|
disable_all_eval_generation: false |
|
force_after_eos_padding: true |
|
|
|
model: |
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image_model_fid_eval: true |
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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 |
|
|
|
|
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data: |
|
fid_dataset: null |
