huythai855 commited on
Commit
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MachineTranslation

Browse files
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: VietAI/vit5-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mt_eng_vietnamese
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: my_translator_vi-en
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: mt_eng_vietnamese
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+ type: mt_eng_vietnamese
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+ config: iwslt2015-vi-en
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+ split: test[:2%]
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+ args: iwslt2015-vi-en
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 2.6085
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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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+ # my_translator_vi-en
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+
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+ This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the mt_eng_vietnamese dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3819
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+ - Bleu: 2.6085
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+ - Gen Len: 18.36
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | 3.9425 | 1.0 | 667 | 3.5155 | 2.3213 | 17.32 |
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+ | 3.2655 | 2.0 | 1334 | 3.3819 | 2.6085 | 18.36 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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+ "architectures": [
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 3072,
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+ "d_model": 768,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "relu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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+ "use_cache": true,
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+ "vocab_size": 36096
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+ }
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