Training complete
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- generation_config.json +5 -2
README.md
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---
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tags:
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- vietnamese-model
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- generated_from_trainer
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model-index:
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- name: nlp-vietnamese
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results: []
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# nlp-vietnamese
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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---
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base_model: vinai/bartpho-syllable
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tags:
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- vietnamese-model
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- generated_from_trainer
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metrics:
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- sacrebleu
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model-index:
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- name: nlp-vietnamese
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results: []
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# nlp-vietnamese
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This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1109
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- Sacrebleu: 18.8039
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## Model description
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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: 12
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- eval_batch_size: 12
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 48
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|
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| No log | 0.992 | 62 | 0.7852 | 5.8526 |
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| No log | 2.0 | 125 | 0.2320 | 12.5980 |
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| No log | 2.992 | 187 | 0.1587 | 15.8119 |
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| No log | 4.0 | 250 | 0.1222 | 17.9026 |
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| No log | 4.96 | 310 | 0.1109 | 18.8039 |
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### Framework versions
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generation_config.json
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{
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"
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"
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"transformers_version": "4.40.2"
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}
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.40.2"
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}
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