config.json

{
  "_name_or_path": "google/flan-t5-small",
  "architectures": [
    "T5ForSequenceClassification"
  ],
  "classifier_dropout": 0.0,
  "d_ff": 1024,
  "d_kv": 64,
  "d_model": 512,
  "decoder_start_token_id": 0,
  "dense_act_fn": "gelu_new",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "gated-gelu",
  "id2label": {
    "0": "Issue",
    "1": "Court Discourse",
    "2": "Conclusion",
    "3": "Precedent Analysis",
    "4": "Section Analysis",
    "5": "Argument by Petitioner",
    "6": "Fact",
    "7": "Argument by Respondent",
    "8": "Ratio",
    "9": "Appellant",
    "10": "Respondent",
    "11": "Argument by Appellant",
    "12": "Petitioner",
    "13": "Judge",
    "14": "Argument by Defendant"
  },
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": true,
  "label2id": {
    "Appellant": 9,
    "Argument by Appellant": 11,
    "Argument by Defendant": 14,
    "Argument by Petitioner": 5,
    "Argument by Respondent": 7,
    "Conclusion": 2,
    "Court Discourse": 1,
    "Fact": 6,
    "Issue": 0,
    "Judge": 13,
    "Petitioner": 12,
    "Precedent Analysis": 3,
    "Ratio": 8,
    "Respondent": 10,
    "Section Analysis": 4
  },
  "layer_norm_epsilon": 1e-06,
  "model_type": "t5",
  "n_positions": 512,
  "num_decoder_layers": 8,
  "num_heads": 6,
  "num_layers": 8,
  "output_past": true,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "relative_attention_max_distance": 128,
  "relative_attention_num_buckets": 32,
  "task_specific_params": {
    "summarization": {
      "early_stopping": true,
      "length_penalty": 2.0,
      "max_length": 200,
      "min_length": 30,
      "no_repeat_ngram_size": 3,
      "num_beams": 4,
      "prefix": "summarize: "
    },
    "translation_en_to_de": {
      "early_stopping": true,
      "max_length": 300,
      "num_beams": 4,
      "prefix": "translate English to German: "
    },
    "translation_en_to_fr": {
      "early_stopping": true,
      "max_length": 300,
      "num_beams": 4,
      "prefix": "translate English to French: "
    },
    "translation_en_to_ro": {
      "early_stopping": true,
      "max_length": 300,
      "num_beams": 4,
      "prefix": "translate English to Romanian: "
    }
  },
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.39.3",
  "use_cache": true,
  "vocab_size": 32128
}