config.json

{
  "_name_or_path": "analogy_models/flan-t5-xl-analogy-epoch6/model",
  "architectures": [
    "T5ForConditionalGeneration"
  ],
  "d_ff": 5120,
  "d_kv": 64,
  "d_model": 2048,
  "decoder_start_token_id": 0,
  "dense_act_fn": "gelu_new",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "gated-gelu",
  "finetuing_config": {
    "batch_size": 32,
    "data": "relbert/semeval2012_relational_similarity",
    "epoch": 6,
    "learning_rate": 0.0001,
    "model": "google/flan-t5-xl",
    "random_seed": 42,
    "task_prefix": "generate analogy:",
    "template_footer": "<subj-b> is to <obj-b>",
    "template_header": "<subj-a> is to <obj-a>"
  },
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": true,
  "layer_norm_epsilon": 1e-06,
  "model_type": "t5",
  "n_positions": 512,
  "num_decoder_layers": 24,
  "num_heads": 32,
  "num_layers": 24,
  "output_past": true,
  "pad_token_id": 0,
  "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": "4.26.1",
  "use_cache": true,
  "vocab_size": 32128
}