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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: existential-there-quantifier-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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# existential-there-quantifier-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: 3.9942 |
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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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| 4.8294 | 0.03 | 76320 | 4.7875 | |
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| 4.542 | 1.03 | 152640 | 4.5057 | |
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| 4.3987 | 0.03 | 228960 | 4.3699 | |
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| 4.3041 | 1.03 | 305280 | 4.2862 | |
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| 4.2431 | 0.03 | 381600 | 4.2283 | |
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| 4.1925 | 1.03 | 457920 | 4.1863 | |
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| 4.1569 | 0.03 | 534240 | 4.1547 | |
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| 4.1273 | 1.03 | 610560 | 4.1290 | |
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| 4.0981 | 0.03 | 686880 | 4.1104 | |
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| 4.0785 | 1.03 | 763200 | 4.0937 | |
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| 4.0542 | 0.03 | 839520 | 4.0798 | |
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| 4.034 | 1.03 | 915840 | 4.0686 | |
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| 4.0198 | 0.03 | 992160 | 4.0593 | |
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| 4.0035 | 1.03 | 1068480 | 4.0515 | |
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| 3.9854 | 0.03 | 1144800 | 4.0440 | |
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| 3.9778 | 1.03 | 1221120 | 4.0390 | |
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| 3.9643 | 0.03 | 1297440 | 4.0343 | |
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| 3.9526 | 1.03 | 1373760 | 4.0297 | |
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| 3.9457 | 0.03 | 1450080 | 4.0248 | |
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| 3.9331 | 1.03 | 1526400 | 4.0206 | |
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| 3.9301 | 0.03 | 1602720 | 4.0172 | |
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| 3.9263 | 1.03 | 1679040 | 4.0149 | |
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| 3.9266 | 0.03 | 1755360 | 4.0128 | |
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| 3.9239 | 1.03 | 1831680 | 4.0104 | |
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| 3.9149 | 0.03 | 1908000 | 4.0088 | |
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| 3.9157 | 1.03 | 1984320 | 4.0068 | |
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| 3.9072 | 0.03 | 2060640 | 4.0055 | |
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| 3.9008 | 1.03 | 2136960 | 4.0040 | |
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| 3.8958 | 0.03 | 2213280 | 4.0029 | |
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| 3.8897 | 1.03 | 2289600 | 4.0015 | |
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| 3.8817 | 0.03 | 2365920 | 4.0004 | |
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| 3.8804 | 0.03 | 2442240 | 3.9992 | |
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| 3.8746 | 1.03 | 2518560 | 3.9978 | |
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| 3.8692 | 0.03 | 2594880 | 3.9969 | |
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| 3.8683 | 1.03 | 2671200 | 3.9963 | |
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| 3.8646 | 0.03 | 2747520 | 3.9957 | |
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| 3.8663 | 1.03 | 2823840 | 3.9952 | |
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| 3.8663 | 0.03 | 2900160 | 3.9947 | |
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| 3.8674 | 0.03 | 2976480 | 3.9945 | |
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| 3.8701 | 1.02 | 3052726 | 3.9942 | |
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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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