{
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  "enc_dec_model": "facebook/bart-base",
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  "eval_batch_size": 16,
  "num_encoder_latents": 128,
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  "l2_normalize_latents": true,
  "output_dir": "saved_latent_models/c4/2024-09-22_22-29-54",
  "save_dir": "saved_latent_models",
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  "lr_schedule": "linear",
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  "eval_every": 1000,
  "mixed_precision": "no",
  "wandb_name": "bart-c4-l2norm-128-768",
  "lm_mode": "freeze",
  "eval": false,
  "resume_training": false,
  "resume_dir": null,
  "num_devices": 1
}