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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: superlative-quantifier-lstm-3 |
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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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# superlative-quantifier-lstm-3 |
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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: 3.9893 |
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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: 3 |
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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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| 4.7985 | 0.03 | 76320 | 4.7866 | |
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| 4.5144 | 1.03 | 152640 | 4.5020 | |
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| 4.3706 | 0.03 | 228960 | 4.3653 | |
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| 4.2853 | 1.03 | 305280 | 4.2807 | |
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| 4.2215 | 2.03 | 381600 | 4.2234 | |
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| 4.1723 | 0.03 | 457920 | 4.1822 | |
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| 4.1396 | 1.03 | 534240 | 4.1511 | |
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| 4.1084 | 0.03 | 610560 | 4.1267 | |
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| 4.0794 | 1.03 | 686880 | 4.1064 | |
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| 4.0535 | 0.03 | 763200 | 4.0905 | |
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| 4.0315 | 1.03 | 839520 | 4.0768 | |
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| 4.0098 | 0.03 | 915840 | 4.0656 | |
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| 4.0005 | 1.03 | 992160 | 4.0558 | |
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| 3.9838 | 2.03 | 1068480 | 4.0484 | |
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| 3.9698 | 0.03 | 1144800 | 4.0409 | |
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| 3.9498 | 1.03 | 1221120 | 4.0346 | |
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| 3.9379 | 2.03 | 1297440 | 4.0304 | |
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| 3.9296 | 0.03 | 1373760 | 4.0261 | |
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| 3.9193 | 1.03 | 1450080 | 4.0215 | |
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| 3.9159 | 0.03 | 1526400 | 4.0179 | |
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| 3.9123 | 1.03 | 1602720 | 4.0143 | |
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| 3.9072 | 0.03 | 1679040 | 4.0113 | |
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| 3.906 | 1.03 | 1755360 | 4.0091 | |
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| 3.9027 | 0.03 | 1831680 | 4.0067 | |
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| 3.8946 | 1.03 | 1908000 | 4.0048 | |
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| 3.8892 | 0.03 | 1984320 | 4.0029 | |
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| 3.8824 | 0.03 | 2060640 | 4.0012 | |
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| 3.8758 | 0.03 | 2136960 | 3.9999 | |
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| 3.8751 | 0.03 | 2213280 | 3.9983 | |
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| 3.869 | 0.03 | 2289600 | 3.9967 | |
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| 3.8615 | 1.03 | 2365920 | 3.9956 | |
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| 3.8512 | 2.03 | 2442240 | 3.9942 | |
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| 3.8463 | 0.03 | 2518560 | 3.9931 | |
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| 3.8445 | 1.03 | 2594880 | 3.9924 | |
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| 3.8404 | 2.03 | 2671200 | 3.9919 | |
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| 3.8438 | 0.03 | 2747520 | 3.9912 | |
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| 3.845 | 0.03 | 2823840 | 3.9907 | |
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| 3.8445 | 0.03 | 2900160 | 3.9900 | |
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| 3.8503 | 0.03 | 2976480 | 3.9897 | |
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| 3.8497 | 1.02 | 3052726 | 3.9893 | |
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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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