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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-vietnamese-case |
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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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# distilbert-base-vietnamese-case |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1978 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.6995 | 1.0 | 313 | 5.7838 | |
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| 5.7246 | 2.0 | 626 | 5.5341 | |
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| 5.4565 | 3.0 | 939 | 5.3280 | |
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| 5.271 | 4.0 | 1252 | 5.1409 | |
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| 5.0514 | 5.0 | 1565 | 4.9143 | |
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| 4.874 | 6.0 | 1878 | 4.7130 | |
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| 4.7083 | 7.0 | 2191 | 4.5682 | |
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| 4.5677 | 8.0 | 2504 | 4.3724 | |
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| 4.4244 | 9.0 | 2817 | 4.3262 | |
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| 4.3013 | 10.0 | 3130 | 4.1231 | |
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| 4.2077 | 11.0 | 3443 | 4.1388 | |
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| 4.1103 | 12.0 | 3756 | 3.8696 | |
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| 4.0141 | 13.0 | 4069 | 3.8849 | |
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| 3.9435 | 14.0 | 4382 | 3.7311 | |
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| 3.8604 | 15.0 | 4695 | 3.7155 | |
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| 3.804 | 16.0 | 5008 | 3.6445 | |
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| 3.7076 | 17.0 | 5321 | 3.5784 | |
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| 3.6807 | 18.0 | 5634 | 3.5516 | |
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| 3.6239 | 19.0 | 5947 | 3.4008 | |
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| 3.5729 | 20.0 | 6260 | 3.4827 | |
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| 3.5308 | 21.0 | 6573 | 3.3921 | |
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| 3.4707 | 22.0 | 6886 | 3.3729 | |
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| 3.4341 | 23.0 | 7199 | 3.3543 | |
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| 3.3989 | 24.0 | 7512 | 3.2836 | |
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| 3.3505 | 25.0 | 7825 | 3.3003 | |
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| 3.3256 | 26.0 | 8138 | 3.1750 | |
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| 3.2892 | 27.0 | 8451 | 3.1930 | |
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| 3.2614 | 28.0 | 8764 | 3.2089 | |
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| 3.2387 | 29.0 | 9077 | 3.1978 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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