{
  "release_date": "2026-07-24",
  "release_name": "FRED-T5 grounded v3",
  "replaces": "mBART-50 Russian summariser",
  "previous_hub_tag": "revision-1-mbart",
  "base_model": "RussianNLP/FRED-T5-Summarizer",
  "architecture": "T5ForConditionalGeneration",
  "training": {
    "train_rows": 59489,
    "validation_rows": 3000,
    "max_source_tokens": 768,
    "max_target_tokens": 384,
    "seed": 20260721,
    "steps": 9500,
    "epochs": 2.554589924187665,
    "best_eval_loss": 1.3249452114105225,
    "benchmark_overlap_count": 0,
    "synthetic_rows": 0
  },
  "recommended_inference": {
    "input_prefix": "summary_length: medium\n\n",
    "source_evidence_max_words": 700,
    "source_evidence_trigger_words": 760,
    "max_input_tokens": 768,
    "max_new_tokens": 96,
    "min_new_tokens": 0,
    "num_beams": 4,
    "length_penalty": 0.7,
    "no_repeat_ngram_size": 3,
    "early_stopping": true,
    "truncate_incomplete_sentence": true
  },
  "co2_emissions": {
    "measured": false,
    "reason": "Training energy and emissions were not instrumented."
  }
}