| { | |
| "_name_or_path": "Turbo-AI/multilingual-e5-base__trim_vocab", | |
| "architectures": [ | |
| "XLMRobertaModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 1024, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.45.2", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 16456, | |
| "vocabtrimmer": { | |
| "mining_config": { | |
| "dataset": "Turbo-AI/data-corpus", | |
| "dataset_column": "text", | |
| "dataset_name": null, | |
| "dataset_split": "train", | |
| "language": "vi", | |
| "min_frequency": 2, | |
| "target_vocab_size": null | |
| }, | |
| "stats": { | |
| "compression_rate_embedding": 6.58234734122127, | |
| "compression_rate_full": 35.49094565181363, | |
| "parameter_size_embedding/raw": 192001536, | |
| "parameter_size_embedding/trimmed": 12638208, | |
| "parameter_size_full/raw": 278043648, | |
| "parameter_size_full/trimmed": 98680320, | |
| "vocab_size/raw": 250002, | |
| "vocab_size/trimmed": 16456 | |
| } | |
| } | |
| } | |