Sentence Similarity
	
	
	
	
	sentence-transformers
	
	
	
	
	PyTorch
	
	
	
	
	Transformers
	
	
	
		
	
	English
	
	
	
	
	t5
	
	
	
	
	text-embedding
	
	
	
	
	embeddings
	
	
	
	
	information-retrieval
	
	
	
	
	beir
	
	
	
	
	text-classification
	
	
	
	
	language-model
	
	
	
	
	text-clustering
	
	
	
	
	text-semantic-similarity
	
	
	
	
	text-evaluation
	
	
	
	
	prompt-retrieval
	
	
	
	
	text-reranking
	
	
	
	
	feature-extraction
	
	
	
	
	English
	
	
	
	
	Sentence Similarity
	
	
	
	
	natural_questions
	
	
	
	
	ms_marco
	
	
	
	
	fever
	
	
	
	
	hotpot_qa
	
	
	
	
	mteb
	
	
	
		
	
	
		Eval Results
	
	
	
		
	
	text-generation-inference
	
	
	File size: 1,550 Bytes
			
			| 7edca84 724f6ed 7edca84 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | {
  "_name_or_path": "/scratch/acd14245px/metatrain_models/enhanced_large/0103_base_fever_40000/checkpoint-200/",
  "architectures": [
    "T5EncoderModel"
  ],
  "d_ff": 3072,
  "d_kv": 64,
  "d_model": 768,
  "decoder_start_token_id": 0,
  "dense_act_fn": "relu",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "relu",
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": false,
  "layer_norm_epsilon": 1e-06,
  "model_type": "t5",
  "n_positions": 512,
  "num_decoder_layers": 12,
  "num_heads": 12,
  "num_layers": 12,
  "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: "
    }
  },
  "torch_dtype": "float32",
  "transformers_version": "4.20.0.dev0",
  "use_cache": true,
  "vocab_size": 32128
}
 | 
