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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-1 |
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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-1 |
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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: 3.9216 |
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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: 1 |
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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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| 4.2284 | 0.03 | 76319 | 4.2464 | |
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| 4.022 | 0.03 | 152638 | 4.0756 | |
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| 3.9165 | 0.03 | 228957 | 4.0014 | |
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| 3.845 | 0.03 | 305276 | 3.9610 | |
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| 3.7923 | 0.03 | 381595 | 3.9358 | |
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| 3.7472 | 0.03 | 457914 | 3.9196 | |
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| 3.7144 | 0.03 | 534233 | 3.9107 | |
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| 3.6831 | 0.03 | 610552 | 3.9037 | |
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| 3.6555 | 0.03 | 686871 | 3.8989 | |
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| 3.6296 | 1.03 | 763190 | 3.8978 | |
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| 3.6102 | 0.03 | 839510 | 3.8908 | |
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| 3.5875 | 1.03 | 915830 | 3.8914 | |
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| 3.5688 | 0.03 | 992150 | 3.8931 | |
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| 3.5513 | 1.03 | 1068470 | 3.8935 | |
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| 3.5348 | 0.03 | 1144790 | 3.8949 | |
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| 3.5189 | 1.03 | 1221110 | 3.8979 | |
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| 3.5035 | 0.03 | 1297430 | 3.8983 | |
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| 3.4886 | 1.03 | 1373750 | 3.9014 | |
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| 3.4778 | 0.03 | 1450070 | 3.9015 | |
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| 3.4697 | 1.03 | 1526390 | 3.9047 | |
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| 3.4615 | 0.03 | 1602710 | 3.9072 | |
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| 3.4463 | 0.03 | 1679030 | 3.9081 | |
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| 3.4369 | 1.03 | 1755350 | 3.9108 | |
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| 3.4268 | 0.03 | 1831670 | 3.9115 | |
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| 3.4106 | 1.03 | 1907990 | 3.9129 | |
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| 3.4009 | 0.03 | 1984310 | 3.9149 | |
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| 3.3873 | 1.03 | 2060630 | 3.9166 | |
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| 3.3776 | 0.03 | 2136950 | 3.9181 | |
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| 3.3661 | 1.03 | 2213270 | 3.9200 | |
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| 3.3553 | 0.03 | 2289590 | 3.9216 | |
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| 3.3454 | 0.03 | 2365910 | 3.9219 | |
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| 3.3375 | 0.03 | 2442230 | 3.9231 | |
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| 3.3268 | 0.03 | 2518550 | 3.9243 | |
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| 3.3174 | 1.03 | 2594870 | 3.9252 | |
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| 3.3094 | 0.03 | 2671190 | 3.9248 | |
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| 3.3041 | 1.03 | 2747510 | 3.9247 | |
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| 3.2986 | 0.03 | 2823830 | 3.9247 | |
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| 3.2883 | 0.03 | 2900150 | 3.9242 | |
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| 3.281 | 1.03 | 2976470 | 3.9231 | |
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| 3.2775 | 0.02 | 3052726 | 3.9216 | |
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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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