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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: vinai/bartpho-word-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bartpho-word-base-question-answering
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bartpho-word-base-question-answering
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+
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+ This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 7
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
config.json ADDED
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+ {
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+ "_name_or_path": "vinai/bartpho-word-base",
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "MBartForQuestionAnswering"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 0,
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+ "classifier_dropout": 0.0,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 12,
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+ "encoder_ffn_dim": 3072,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "max_position_embeddings": 1024,
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+ "model_type": "mbart",
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 1,
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+ "scale_embedding": false,
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+ "tokenizer_class": "PhobertTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.47.1",
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+ "use_cache": true,
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+ "vocab_size": 66120
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+ }
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