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--- |
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library_name: transformers |
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license: agpl-3.0 |
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base_model: vinai/phobert-base-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: classification_phobert-v2 |
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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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# classification_phobert-v2 |
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4251 |
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- F1: 0.9439 |
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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: 3e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 40.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 194 | 0.2289 | 0.9347 | |
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| No log | 2.0 | 388 | 0.1812 | 0.9400 | |
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| 0.2405 | 3.0 | 582 | 0.1774 | 0.9447 | |
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| 0.2405 | 4.0 | 776 | 0.1997 | 0.9433 | |
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| 0.2405 | 5.0 | 970 | 0.2236 | 0.9428 | |
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| 0.1112 | 6.0 | 1164 | 0.2448 | 0.9380 | |
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| 0.1112 | 7.0 | 1358 | 0.2250 | 0.9442 | |
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| 0.0717 | 8.0 | 1552 | 0.2410 | 0.9414 | |
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| 0.0717 | 9.0 | 1746 | 0.2488 | 0.9414 | |
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| 0.0717 | 10.0 | 1940 | 0.2667 | 0.9447 | |
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| 0.0525 | 11.0 | 2134 | 0.2683 | 0.9456 | |
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| 0.0525 | 12.0 | 2328 | 0.3145 | 0.9414 | |
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| 0.0402 | 13.0 | 2522 | 0.2749 | 0.9467 | |
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| 0.0402 | 14.0 | 2716 | 0.3030 | 0.9430 | |
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| 0.0402 | 15.0 | 2910 | 0.3059 | 0.9458 | |
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| 0.0285 | 16.0 | 3104 | 0.3260 | 0.9425 | |
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| 0.0285 | 17.0 | 3298 | 0.3208 | 0.9464 | |
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| 0.0285 | 18.0 | 3492 | 0.3752 | 0.9394 | |
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| 0.0225 | 19.0 | 3686 | 0.3408 | 0.9450 | |
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| 0.0225 | 20.0 | 3880 | 0.4128 | 0.9366 | |
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| 0.0166 | 21.0 | 4074 | 0.3799 | 0.9408 | |
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| 0.0166 | 22.0 | 4268 | 0.3940 | 0.9389 | |
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| 0.0166 | 23.0 | 4462 | 0.3740 | 0.9450 | |
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| 0.0153 | 24.0 | 4656 | 0.3810 | 0.9400 | |
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| 0.0153 | 25.0 | 4850 | 0.4278 | 0.9403 | |
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| 0.0122 | 26.0 | 5044 | 0.3878 | 0.9436 | |
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| 0.0122 | 27.0 | 5238 | 0.3903 | 0.9433 | |
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| 0.0122 | 28.0 | 5432 | 0.3904 | 0.9442 | |
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| 0.0114 | 29.0 | 5626 | 0.4205 | 0.9428 | |
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| 0.0114 | 30.0 | 5820 | 0.3969 | 0.9433 | |
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| 0.0096 | 31.0 | 6014 | 0.3967 | 0.9439 | |
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| 0.0096 | 32.0 | 6208 | 0.4009 | 0.9442 | |
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| 0.0096 | 33.0 | 6402 | 0.4054 | 0.9439 | |
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| 0.0082 | 34.0 | 6596 | 0.4115 | 0.9422 | |
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| 0.0082 | 35.0 | 6790 | 0.4228 | 0.9430 | |
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| 0.0082 | 36.0 | 6984 | 0.4165 | 0.9442 | |
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| 0.0083 | 37.0 | 7178 | 0.4226 | 0.9436 | |
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| 0.0083 | 38.0 | 7372 | 0.4262 | 0.9430 | |
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| 0.0071 | 39.0 | 7566 | 0.4231 | 0.9436 | |
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| 0.0071 | 40.0 | 7760 | 0.4251 | 0.9439 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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