Training complete
Browse files
README.md
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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-syllable
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tags:
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- text2text-generation
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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: vinh-test
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results: []
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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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# vinh-test
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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: 0.0182
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- Sacrebleu: 97.4671
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 24
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- eval_batch_size: 96
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 96
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- optimizer: Use 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: 5
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- mixed_precision_training: Native AMP
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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 | 1.0 | 179 | 0.0532 | 95.2231 |
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| No log | 2.0 | 358 | 0.0352 | 96.7782 |
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| 0.1135 | 3.0 | 537 | 0.0195 | 97.1852 |
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| 0.1135 | 4.0 | 716 | 0.0195 | 97.5108 |
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| 0.1135 | 5.0 | 895 | 0.0182 | 97.4671 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.4.0
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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generation_config.json
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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": "4.46.3"
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}
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runs/Dec06_04-44-11_816480ba4b81/events.out.tfevents.1733460659.816480ba4b81.23.0
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runs/Dec06_04-44-11_816480ba4b81/events.out.tfevents.1733462775.816480ba4b81.23.1
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