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--- |
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library_name: transformers |
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license: mit |
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base_model: vinai/phobert-large |
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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: pholarge |
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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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# pholarge |
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This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2752 |
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- F1: 0.9361 |
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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: 24 |
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- eval_batch_size: 24 |
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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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| 0.3094 | 1.0 | 1033 | 0.2295 | 0.9327 | |
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| 0.2346 | 2.0 | 2066 | 0.2651 | 0.9280 | |
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| 0.2359 | 3.0 | 3099 | 0.2357 | 0.9338 | |
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| 0.1734 | 4.0 | 4132 | 0.2720 | 0.9277 | |
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| 0.1551 | 5.0 | 5165 | 0.2940 | 0.9350 | |
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| 0.1282 | 6.0 | 6198 | 0.2752 | 0.9361 | |
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| 0.1208 | 7.0 | 7231 | 0.3137 | 0.9347 | |
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| 0.1074 | 8.0 | 8264 | 0.2967 | 0.9355 | |
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| 0.2719 | 9.0 | 9297 | 0.8269 | 0.6410 | |
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| 0.8456 | 10.0 | 10330 | 0.8220 | 0.6410 | |
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| 0.84 | 11.0 | 11363 | 0.8212 | 0.6410 | |
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| 0.841 | 12.0 | 12396 | 0.8207 | 0.6410 | |
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| 0.8383 | 13.0 | 13429 | 0.8198 | 0.6410 | |
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| 0.8371 | 14.0 | 14462 | 0.8276 | 0.6410 | |
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| 0.8486 | 15.0 | 15495 | 0.8244 | 0.6410 | |
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| 0.844 | 16.0 | 16528 | 0.8391 | 0.6410 | |
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| 0.837 | 17.0 | 17561 | 0.8235 | 0.6410 | |
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| 0.8438 | 18.0 | 18594 | 0.8247 | 0.6410 | |
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| 0.8418 | 19.0 | 19627 | 0.8237 | 0.6410 | |
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| 0.8384 | 20.0 | 20660 | 0.8199 | 0.6410 | |
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| 0.8387 | 21.0 | 21693 | 0.8226 | 0.6410 | |
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| 0.8478 | 22.0 | 22726 | 0.8205 | 0.6410 | |
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| 0.8364 | 23.0 | 23759 | 0.8259 | 0.6410 | |
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| 0.8325 | 24.0 | 24792 | 0.8245 | 0.6410 | |
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| 0.8289 | 25.0 | 25825 | 0.8248 | 0.6410 | |
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| 0.8251 | 26.0 | 26858 | 0.8247 | 0.6410 | |
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| 0.824 | 27.0 | 27891 | 0.8214 | 0.6410 | |
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| 0.8197 | 28.0 | 28924 | 0.8282 | 0.6410 | |
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| 0.8241 | 29.0 | 29957 | 0.8340 | 0.6410 | |
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| 0.8285 | 30.0 | 30990 | 0.8360 | 0.6410 | |
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| 0.8169 | 31.0 | 32023 | 0.8401 | 0.6410 | |
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| 0.811 | 32.0 | 33056 | 0.8534 | 0.6410 | |
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| 0.8056 | 33.0 | 34089 | 0.8690 | 0.6410 | |
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| 0.8023 | 34.0 | 35122 | 0.8640 | 0.6410 | |
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| 0.8146 | 35.0 | 36155 | 0.8704 | 0.6410 | |
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| 0.8079 | 36.0 | 37188 | 0.8959 | 0.6410 | |
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| 0.8081 | 37.0 | 38221 | 0.8802 | 0.6410 | |
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| 0.8059 | 38.0 | 39254 | 0.8901 | 0.6410 | |
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| 0.8045 | 39.0 | 40287 | 0.8882 | 0.6410 | |
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| 0.8024 | 40.0 | 41320 | 0.8918 | 0.6410 | |
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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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