commit

README.md

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+---
+library_name: transformers
+license: mit
+base_model: vinai/bartpho-syllable
+tags:
+- vietnamese-model
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: t5-vietnamese
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# t5-vietnamese
+
+This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0021
+- Sacrebleu: 54.7004
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|
+| No log        | 1.0   | 3737  | 0.0073          | 53.9308   |
+| No log        | 2.0   | 7474  | 0.0033          | 54.5296   |
+| No log        | 3.0   | 11211 | 0.0021          | 54.7004   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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config.json

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+  "_name_or_path": "vinai/bartpho-syllable",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "MBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
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+  "d_model": 1024,
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+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
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+  "dropout": 0.1,
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+  "model_type": "mbart",
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "tokenizer_class": "BartphoTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 40030
+}

generation_config.json

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+  "transformers_version": "4.47.1"
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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