mra-base-512-4 / config.json
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{
"approx_mode": "full",
"architectures": [
"MraForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"block_per_row": 4,
"bos_token_id": 0,
"dataset": "datasets/roberta-train-sl_512-bs_512-nb_1000-ne_200-bookcorpus-english_wiki",
"eos_token_id": 2,
"from_cp": "init.model",
"from_pretrained_roberta": false,
"gpu_setting": {
"inst_per_gpu": 16
},
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initial_prior_diagonal_n_blocks": 0,
"initial_prior_first_n_blocks": 0,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 512,
"model": {
"approx_mode": "full",
"block_per_row": 4,
"dim": 768,
"dropout_prob": 0.1,
"embedding_dim": 768,
"head_dim": 64,
"hidden_dim": 3072,
"initial_prior_diagonal_n_blocks": 0,
"initial_prior_first_n_blocks": 0,
"max_seq_len": 512,
"mixed_precision": true,
"model_type": "mra2",
"num_head": 12,
"num_layers": 12,
"num_sen_type": 1,
"shared_weight": false,
"vocab_size": 50265
},
"model_type": "mra",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"pretraining_setting": {
"batches_per_epoch": 1000,
"batches_per_report": 10,
"epoch": 20,
"learning_rate": 5e-05,
"warmup": 0.05
},
"torch_dtype": "float32",
"transformers_version": "4.31.0.dev0",
"type_vocab_size": 1,
"val_dataset": "datasets/roberta-val-sl_512-bs_512-nb_200-ne_1-bookcorpus-english_wiki-transformer/epoch-0000.pickle.gzip",
"vocab_size": 50265
}