chamdentimem commited on
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Training complete

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README.md CHANGED
@@ -3,6 +3,8 @@ 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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  model-index:
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  - name: vietnamese-correction-nlp
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  results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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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- - eval_loss: 0.2181
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- - eval_sacrebleu: 26.2371
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- - eval_runtime: 781.5801
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- - eval_samples_per_second: 8.956
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- - eval_steps_per_second: 2.239
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- - epoch: 1.3333
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- - step: 5000
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  ## Model description
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@@ -48,9 +45,17 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 8
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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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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.40.2
 
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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: vietnamese-correction-nlp
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  results: []
 
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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: 0.1795
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+ - Sacrebleu: 26.6215
 
 
 
 
 
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  ## Model description
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  - total_train_batch_size: 8
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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: 1
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|
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+ | 0.4541 | 0.4 | 5000 | 0.2183 | 25.8874 |
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+ | 0.2794 | 0.8 | 10000 | 0.1835 | 26.5453 |
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+
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+
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  ### Framework versions
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  - Transformers 4.40.2
runs/May16_20-24-33_985d97da84b9/events.out.tfevents.1715900475.985d97da84b9.3748.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ size 412