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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: det-adj-noun-lstm-0 |
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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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# det-adj-noun-lstm-0 |
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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: 3.9742 |
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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: 0 |
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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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| 4.7911 | 0.03 | 76320 | 4.7676 | |
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| 4.5068 | 1.03 | 152640 | 4.4849 | |
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| 4.3624 | 0.03 | 228960 | 4.3482 | |
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| 4.2756 | 1.03 | 305280 | 4.2650 | |
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| 4.2135 | 0.03 | 381600 | 4.2077 | |
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| 4.1691 | 1.03 | 457920 | 4.1661 | |
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| 4.1315 | 0.03 | 534240 | 4.1344 | |
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| 4.0983 | 1.03 | 610560 | 4.1103 | |
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| 4.0679 | 0.03 | 686880 | 4.0905 | |
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| 4.043 | 1.03 | 763200 | 4.0746 | |
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| 4.02 | 0.03 | 839520 | 4.0614 | |
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| 4.0043 | 1.03 | 915840 | 4.0508 | |
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| 3.9927 | 0.03 | 992160 | 4.0414 | |
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| 3.9731 | 1.03 | 1068480 | 4.0326 | |
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| 3.9597 | 0.03 | 1144800 | 4.0265 | |
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| 3.9406 | 1.03 | 1221120 | 4.0200 | |
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| 3.9236 | 0.03 | 1297440 | 4.0154 | |
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| 3.9186 | 1.03 | 1373760 | 4.0102 | |
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| 3.9074 | 0.03 | 1450080 | 4.0053 | |
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| 3.9064 | 1.03 | 1526400 | 4.0017 | |
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| 3.9032 | 0.03 | 1602720 | 3.9986 | |
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| 3.9028 | 1.03 | 1679040 | 3.9961 | |
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| 3.9001 | 0.03 | 1755360 | 3.9938 | |
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| 3.8915 | 1.03 | 1831680 | 3.9918 | |
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| 3.8839 | 0.03 | 1908000 | 3.9899 | |
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| 3.8766 | 1.03 | 1984320 | 3.9880 | |
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| 3.8698 | 0.03 | 2060640 | 3.9862 | |
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| 3.867 | 0.03 | 2136960 | 3.9844 | |
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| 3.8652 | 1.03 | 2213280 | 3.9828 | |
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| 3.8564 | 0.03 | 2289600 | 3.9814 | |
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| 3.8518 | 1.03 | 2365920 | 3.9801 | |
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| 3.842 | 0.03 | 2442240 | 3.9789 | |
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| 3.8345 | 1.03 | 2518560 | 3.9784 | |
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| 3.8365 | 0.03 | 2594880 | 3.9775 | |
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| 3.8313 | 1.03 | 2671200 | 3.9767 | |
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| 3.8361 | 0.03 | 2747520 | 3.9759 | |
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| 3.8364 | 1.03 | 2823840 | 3.9753 | |
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| 3.8405 | 0.03 | 2900160 | 3.9749 | |
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| 3.8403 | 1.03 | 2976480 | 3.9745 | |
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| 3.8372 | 0.02 | 3052726 | 3.9742 | |
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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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