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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: re-irr-sv-agr-lstm-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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# re-irr-sv-agr-lstm-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: 3.9886 |
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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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| 4.7815 | 0.03 | 76320 | 4.7702 | |
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| 4.4981 | 1.03 | 152640 | 4.4915 | |
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| 4.3568 | 0.03 | 228960 | 4.3572 | |
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| 4.2708 | 1.03 | 305280 | 4.2738 | |
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| 4.2093 | 0.03 | 381600 | 4.2181 | |
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| 4.1624 | 0.03 | 457920 | 4.1769 | |
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| 4.1251 | 1.03 | 534240 | 4.1461 | |
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| 4.091 | 2.03 | 610560 | 4.1220 | |
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| 4.0637 | 0.03 | 686880 | 4.1029 | |
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| 4.04 | 1.03 | 763200 | 4.0868 | |
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| 4.0174 | 0.03 | 839520 | 4.0741 | |
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| 4.0037 | 1.03 | 915840 | 4.0630 | |
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| 3.9901 | 0.03 | 992160 | 4.0538 | |
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| 3.9695 | 0.03 | 1068480 | 4.0454 | |
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| 3.9562 | 1.03 | 1144800 | 4.0385 | |
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| 3.9406 | 0.03 | 1221120 | 4.0326 | |
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| 3.927 | 1.03 | 1297440 | 4.0275 | |
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| 3.9166 | 0.03 | 1373760 | 4.0226 | |
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| 3.9069 | 1.03 | 1450080 | 4.0190 | |
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| 3.9057 | 2.03 | 1526400 | 4.0156 | |
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| 3.9015 | 0.03 | 1602720 | 4.0130 | |
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| 3.8975 | 1.03 | 1679040 | 4.0097 | |
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| 3.8935 | 2.03 | 1755360 | 4.0071 | |
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| 3.8858 | 0.03 | 1831680 | 4.0051 | |
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| 3.8802 | 1.03 | 1908000 | 4.0033 | |
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| 3.8737 | 2.03 | 1984320 | 4.0017 | |
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| 3.8668 | 0.03 | 2060640 | 4.0003 | |
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| 3.8664 | 1.03 | 2136960 | 3.9989 | |
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| 3.8646 | 0.03 | 2213280 | 3.9974 | |
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| 3.8568 | 1.03 | 2289600 | 3.9957 | |
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| 3.8493 | 0.03 | 2365920 | 3.9950 | |
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| 3.8429 | 1.03 | 2442240 | 3.9941 | |
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| 3.8357 | 0.03 | 2518560 | 3.9930 | |
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| 3.8299 | 1.03 | 2594880 | 3.9920 | |
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| 3.8288 | 2.03 | 2671200 | 3.9912 | |
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| 3.8308 | 0.03 | 2747520 | 3.9904 | |
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| 3.8331 | 1.03 | 2823840 | 3.9899 | |
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| 3.8355 | 0.03 | 2900160 | 3.9894 | |
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| 3.8364 | 0.03 | 2976480 | 3.9891 | |
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| 3.8311 | 0.02 | 3052726 | 3.9886 | |
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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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