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levancuong17
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DACN3_LVC

Safetensors
roberta
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Training complete

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  1. README.md +23 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5114
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  ## Model description
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@@ -40,27 +40,37 @@ The following hyperparameters were used during training:
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 347 | 1.2212 |
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- | 1.3994 | 2.0 | 694 | 1.1186 |
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- | 0.9316 | 3.0 | 1041 | 1.0279 |
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- | 0.9316 | 4.0 | 1388 | 1.1096 |
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- | 0.6575 | 5.0 | 1735 | 1.2512 |
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- | 0.4674 | 6.0 | 2082 | 1.2984 |
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- | 0.4674 | 7.0 | 2429 | 1.3759 |
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- | 0.316 | 8.0 | 2776 | 1.4951 |
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- | 0.2235 | 9.0 | 3123 | 1.5252 |
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- | 0.2235 | 10.0 | 3470 | 1.5642 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.4.1+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6146
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  ## Model description
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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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 347 | 1.1922 |
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+ | 1.3869 | 2.0 | 694 | 1.0903 |
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+ | 0.893 | 3.0 | 1041 | 1.0290 |
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+ | 0.893 | 4.0 | 1388 | 1.0825 |
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+ | 0.5968 | 5.0 | 1735 | 1.2634 |
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+ | 0.4001 | 6.0 | 2082 | 1.4108 |
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+ | 0.4001 | 7.0 | 2429 | 1.5288 |
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+ | 0.2505 | 8.0 | 2776 | 1.6623 |
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+ | 0.1639 | 9.0 | 3123 | 1.8938 |
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+ | 0.1639 | 10.0 | 3470 | 2.0609 |
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+ | 0.1143 | 11.0 | 3817 | 2.2725 |
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+ | 0.0739 | 12.0 | 4164 | 2.4275 |
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+ | 0.0552 | 13.0 | 4511 | 2.4773 |
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+ | 0.0552 | 14.0 | 4858 | 2.5629 |
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+ | 0.0389 | 15.0 | 5205 | 2.6769 |
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+ | 0.029 | 16.0 | 5552 | 2.7282 |
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+ | 0.029 | 17.0 | 5899 | 2.7699 |
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+ | 0.0176 | 18.0 | 6246 | 2.7834 |
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+ | 0.0171 | 19.0 | 6593 | 2.8041 |
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+ | 0.0171 | 20.0 | 6940 | 2.7942 |
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  ### Framework versions
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  - Transformers 4.35.2
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+ - Pytorch 2.5.0+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.2
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