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Training in progress, epoch 3

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README.md ADDED
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+ ---
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+ base_model: vinai/bartpho-syllable
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+ library_name: transformers
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: BARTBana_v1
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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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+ # BARTBana_v1
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+
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+ This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3500
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 15
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 4.2378 | 1.0 | 1316 | 3.1132 |
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+ | 2.7031 | 2.0 | 2632 | 2.3966 |
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+ | 2.3759 | 3.0 | 3948 | 2.0374 |
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+ | 2.0853 | 4.0 | 5264 | 1.8846 |
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+ | 1.923 | 5.0 | 6580 | 1.7449 |
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+ | 1.8195 | 6.0 | 7896 | 1.6978 |
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+ | 1.7291 | 7.0 | 9212 | 1.6243 |
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+ | 1.6472 | 8.0 | 10528 | 1.5380 |
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+ | 1.6053 | 9.0 | 11844 | 1.5235 |
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+ | 1.5479 | 10.0 | 13160 | 1.4200 |
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+ | 1.5175 | 11.0 | 14476 | 1.3930 |
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+ | 1.4861 | 12.0 | 15792 | 1.4136 |
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+ | 1.4566 | 13.0 | 17108 | 1.3706 |
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+ | 1.4263 | 14.0 | 18424 | 1.3472 |
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+ | 1.4147 | 15.0 | 19740 | 1.3436 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "MBartForConditionalGeneration"
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+ ],
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_layerdrop": 0.0,
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+ "dropout": 0.1,
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+ "tokenizer_class": "BartphoTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.1",
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