mrt5-large / config.json
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{
"_name_or_path": "/nlp/scr3/nlp/llms-in-llms/mrt5/models/span_corruption_multilingual/MrT5/mrt5-large_span_corruption_multilingual_50%_seed23/checkpoints/checkpoint-5000/",
"architectures": [
"MrT5ForConditionalGeneration"
],
"auto_map": {
"AutoConfig": "configuration_mrt5.MrT5Config",
"AutoModelForSeq2SeqLM": "modeling_mrt5.MrT5ForConditionalGeneration"
},
"classifier_dropout": 0.0,
"d_ff": 3840,
"d_kv": 64,
"d_model": 1536,
"decoder_start_token_id": 0,
"delete_gate_layer": 3,
"deletion_threshold": -15.0,
"deletion_type": "scaled_sigmoid",
"dense_act_fn": "gelu_new",
"dropout_rate": 0.1,
"eos_token_id": 1,
"eval_language": "en",
"feed_forward_proj": "gated-gelu",
"fixed_deletion_amount": 0.5,
"gate_layer_norm": true,
"gradient_checkpointing": false,
"has_absolute_position_embeddings": false,
"initializer_factor": 1.0,
"is_encoder_decoder": true,
"is_gated_act": true,
"layer_norm_epsilon": 1e-06,
"model_type": "mrt5",
"num_decoder_layers": 12,
"num_heads": 16,
"num_layers": 36,
"output_past": true,
"pad_token_id": 0,
"random_deletion_probability": 0.5,
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"sigmoid_mask_scale": -30.0,
"tie_word_embeddings": false,
"tokenizer_class": "ByT5Tokenizer",
"torch_dtype": "float32",
"train_language": "en",
"transformers_version": "4.39.1",
"use_cache": true,
"use_gumbel_noise": false,
"use_softmax1": true,
"vocab_size": 384
}