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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-greek-uncased-v1-finetuned-imdb |
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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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# bert-base-greek-uncased-v1-finetuned-imdb |
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This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3617 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0877 | 1.0 | 45 | 2.9871 | |
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| 1.2665 | 2.0 | 90 | 2.9228 | |
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| 1.9122 | 3.0 | 135 | 3.1228 | |
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| 2.2564 | 4.0 | 180 | 1.6066 | |
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| 1.9132 | 5.0 | 225 | 2.6351 | |
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| 1.9952 | 6.0 | 270 | 2.2649 | |
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| 1.7895 | 7.0 | 315 | 2.3376 | |
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| 2.0415 | 8.0 | 360 | 1.9894 | |
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| 1.8113 | 9.0 | 405 | 2.2998 | |
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| 1.6944 | 10.0 | 450 | 2.1420 | |
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| 1.7862 | 11.0 | 495 | 2.7167 | |
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| 1.5657 | 12.0 | 540 | 2.5103 | |
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| 1.4576 | 13.0 | 585 | 2.0238 | |
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| 1.3369 | 14.0 | 630 | 2.5880 | |
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| 1.3598 | 15.0 | 675 | 1.8161 | |
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| 1.3407 | 16.0 | 720 | 2.4031 | |
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| 1.3805 | 17.0 | 765 | 2.2539 | |
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| 1.176 | 18.0 | 810 | 3.2901 | |
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| 1.1152 | 19.0 | 855 | 2.3024 | |
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| 1.0629 | 20.0 | 900 | 2.0823 | |
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| 1.1972 | 21.0 | 945 | 2.9957 | |
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| 1.1317 | 22.0 | 990 | 2.5360 | |
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| 1.0396 | 23.0 | 1035 | 1.6268 | |
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| 0.8686 | 24.0 | 1080 | 3.2657 | |
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| 1.0526 | 25.0 | 1125 | 3.0398 | |
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| 0.9023 | 26.0 | 1170 | 2.8197 | |
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| 0.9539 | 27.0 | 1215 | 3.1922 | |
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| 0.8699 | 28.0 | 1260 | 1.6943 | |
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| 0.8669 | 29.0 | 1305 | 2.7801 | |
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| 0.7893 | 30.0 | 1350 | 2.1385 | |
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| 0.7462 | 31.0 | 1395 | 2.2881 | |
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| 0.7627 | 32.0 | 1440 | 3.0789 | |
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| 0.7536 | 33.0 | 1485 | 2.9320 | |
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| 0.8317 | 34.0 | 1530 | 3.4081 | |
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| 0.6749 | 35.0 | 1575 | 2.7531 | |
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| 0.789 | 36.0 | 1620 | 2.9154 | |
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| 0.6609 | 37.0 | 1665 | 2.1821 | |
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| 0.6795 | 38.0 | 1710 | 2.5330 | |
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| 0.6408 | 39.0 | 1755 | 3.4374 | |
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| 0.6827 | 40.0 | 1800 | 2.3127 | |
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| 0.6188 | 41.0 | 1845 | 2.0818 | |
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| 0.6085 | 42.0 | 1890 | 2.2737 | |
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| 0.6978 | 43.0 | 1935 | 2.9629 | |
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| 0.6164 | 44.0 | 1980 | 2.5250 | |
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| 0.6273 | 45.0 | 2025 | 2.3866 | |
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| 0.7064 | 46.0 | 2070 | 2.0937 | |
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| 0.6561 | 47.0 | 2115 | 2.4984 | |
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| 0.7341 | 48.0 | 2160 | 3.1911 | |
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| 0.6271 | 49.0 | 2205 | 2.2692 | |
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| 0.6757 | 50.0 | 2250 | 2.2642 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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