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bartpho-word-base-ed-notpl

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End of training

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  1. README.md +18 -13
  2. model.safetensors +1 -1
  3. runs/Jul04_10-01-50_f90f114bcace/events.out.tfevents.1720087424.f90f114bcace.451.0 +2 -2
README.md CHANGED
@@ -14,13 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0244
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- - F1 Micro: 0.7951
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- - Recall Micro: 0.7948
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- - Precision Micro: 0.7954
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- - F1 Macro: 0.5879
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- - Recall Macro: 0.6260
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- - Precision Macro: 0.5898
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  ## Model description
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@@ -47,17 +47,22 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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 | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
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- | No log | 0.9987 | 393 | 0.0279 | 0.7863 | 0.8013 | 0.7719 | 0.4822 | 0.5178 | 0.5229 |
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- | 0.1583 | 2.0 | 787 | 0.0262 | 0.7742 | 0.7654 | 0.7832 | 0.5473 | 0.6047 | 0.5268 |
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- | 0.0243 | 2.9987 | 1180 | 0.0238 | 0.7997 | 0.8058 | 0.7937 | 0.5581 | 0.5740 | 0.6036 |
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- | 0.0191 | 4.0 | 1574 | 0.0234 | 0.8045 | 0.8061 | 0.8030 | 0.5668 | 0.5815 | 0.6041 |
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- | 0.0191 | 4.9936 | 1965 | 0.0244 | 0.7951 | 0.7948 | 0.7954 | 0.5879 | 0.6260 | 0.5898 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0296
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+ - F1 Micro: 0.8132
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+ - Recall Micro: 0.8123
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+ - Precision Micro: 0.8142
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+ - F1 Macro: 0.5908
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+ - Recall Macro: 0.6258
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+ - Precision Macro: 0.5885
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  ## Model description
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  - total_train_batch_size: 32
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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 | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
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+ | No log | 0.9987 | 393 | 0.0272 | 0.788 | 0.7979 | 0.7783 | 0.4634 | 0.4821 | 0.5358 |
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+ | 0.155 | 2.0 | 787 | 0.0260 | 0.7757 | 0.7633 | 0.7885 | 0.5149 | 0.5538 | 0.5169 |
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+ | 0.0248 | 2.9987 | 1180 | 0.0248 | 0.7874 | 0.7887 | 0.7861 | 0.5407 | 0.5681 | 0.5688 |
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+ | 0.0197 | 4.0 | 1574 | 0.0237 | 0.8067 | 0.8191 | 0.7948 | 0.5628 | 0.5908 | 0.5900 |
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+ | 0.0197 | 4.9987 | 1967 | 0.0240 | 0.8061 | 0.8049 | 0.8073 | 0.5601 | 0.5593 | 0.5880 |
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+ | 0.0158 | 6.0 | 2361 | 0.0269 | 0.7982 | 0.8027 | 0.7937 | 0.5866 | 0.6815 | 0.5364 |
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+ | 0.0121 | 6.9987 | 2754 | 0.0268 | 0.8132 | 0.8123 | 0.8140 | 0.5979 | 0.6077 | 0.6182 |
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+ | 0.0097 | 8.0 | 3148 | 0.0279 | 0.8184 | 0.8200 | 0.8169 | 0.5908 | 0.6050 | 0.6037 |
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+ | 0.0082 | 8.9987 | 3541 | 0.0288 | 0.8129 | 0.8114 | 0.8144 | 0.5895 | 0.6285 | 0.5846 |
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+ | 0.0082 | 9.9873 | 3930 | 0.0296 | 0.8132 | 0.8123 | 0.8142 | 0.5908 | 0.6258 | 0.5885 |
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  ### Framework versions
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