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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: pp-mod-subj-transformer-4 |
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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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# pp-mod-subj-transformer-4 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9241 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 4 |
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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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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.2271 | 0.03 | 76319 | 4.2438 | |
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| 4.0211 | 0.03 | 152638 | 4.0736 | |
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| 3.9159 | 0.03 | 228957 | 4.0002 | |
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| 3.8439 | 0.03 | 305276 | 3.9584 | |
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| 3.7926 | 0.03 | 381595 | 3.9340 | |
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| 3.7493 | 0.03 | 457914 | 3.9186 | |
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| 3.7135 | 0.03 | 534233 | 3.9081 | |
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| 3.6846 | 0.03 | 610552 | 3.9026 | |
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| 3.6569 | 0.03 | 686871 | 3.8992 | |
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| 3.6319 | 1.03 | 763190 | 3.8971 | |
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| 3.6103 | 0.03 | 839510 | 3.8914 | |
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| 3.5908 | 1.03 | 915830 | 3.8907 | |
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| 3.5721 | 0.03 | 992150 | 3.8927 | |
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| 3.5536 | 1.03 | 1068470 | 3.8928 | |
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| 3.5359 | 0.03 | 1144790 | 3.8953 | |
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| 3.5224 | 1.03 | 1221110 | 3.8973 | |
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| 3.5034 | 0.03 | 1297430 | 3.8986 | |
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| 3.491 | 0.03 | 1373750 | 3.9005 | |
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| 3.4799 | 1.03 | 1450070 | 3.9023 | |
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| 3.4689 | 0.03 | 1526390 | 3.9049 | |
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| 3.4616 | 1.03 | 1602710 | 3.9054 | |
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| 3.4481 | 0.03 | 1679030 | 3.9090 | |
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| 3.4351 | 1.03 | 1755350 | 3.9108 | |
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| 3.4266 | 0.03 | 1831670 | 3.9123 | |
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| 3.4112 | 1.03 | 1907990 | 3.9139 | |
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| 3.4014 | 0.03 | 1984310 | 3.9171 | |
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| 3.3887 | 1.03 | 2060630 | 3.9187 | |
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| 3.377 | 0.03 | 2136950 | 3.9198 | |
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| 3.3682 | 1.03 | 2213270 | 3.9211 | |
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| 3.3572 | 0.03 | 2289590 | 3.9223 | |
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| 3.3464 | 1.03 | 2365910 | 3.9236 | |
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| 3.336 | 0.03 | 2442230 | 3.9254 | |
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| 3.3236 | 1.03 | 2518550 | 3.9257 | |
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| 3.3173 | 0.03 | 2594870 | 3.9269 | |
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| 3.3101 | 0.03 | 2671190 | 3.9266 | |
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| 3.3025 | 0.03 | 2747510 | 3.9266 | |
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| 3.2986 | 1.03 | 2823830 | 3.9265 | |
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| 3.2869 | 0.03 | 2900150 | 3.9270 | |
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| 3.2817 | 0.03 | 2976470 | 3.9255 | |
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| 3.2771 | 1.02 | 3052726 | 3.9241 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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