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existential-there-quantifier-lstm-4

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rnn
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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-4
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+ results: []
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+ ---
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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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+
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+ # existential-there-quantifier-lstm-4
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+
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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: 3.9698
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-------:|:---------------:|
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+ | 4.7774 | 0.03 | 76320 | 4.7429 |
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+ | 4.4932 | 1.03 | 152640 | 4.4638 |
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+ | 4.3479 | 0.03 | 228960 | 4.3308 |
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+ | 4.2625 | 1.03 | 305280 | 4.2490 |
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+ | 4.1981 | 0.03 | 381600 | 4.1928 |
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+ | 4.1521 | 1.03 | 457920 | 4.1530 |
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+ | 4.1154 | 0.03 | 534240 | 4.1230 |
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+ | 4.0805 | 1.03 | 610560 | 4.0988 |
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+ | 4.0514 | 0.03 | 686880 | 4.0793 |
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+ | 4.0259 | 1.03 | 763200 | 4.0640 |
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+ | 4.0056 | 0.03 | 839520 | 4.0506 |
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+ | 3.9903 | 1.03 | 915840 | 4.0404 |
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+ | 3.9761 | 0.03 | 992160 | 4.0308 |
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+ | 3.9565 | 1.03 | 1068480 | 4.0234 |
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+ | 3.9472 | 0.03 | 1144800 | 4.0168 |
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+ | 3.9352 | 1.03 | 1221120 | 4.0114 |
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+ | 3.9245 | 0.03 | 1297440 | 4.0061 |
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+ | 3.9137 | 1.03 | 1373760 | 4.0013 |
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+ | 3.9036 | 0.03 | 1450080 | 3.9982 |
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+ | 3.8998 | 0.03 | 1526400 | 3.9949 |
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+ | 3.8957 | 1.03 | 1602720 | 3.9922 |
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+ | 3.891 | 0.03 | 1679040 | 3.9897 |
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+ | 3.8872 | 1.03 | 1755360 | 3.9876 |
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+ | 3.8784 | 0.03 | 1831680 | 3.9853 |
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+ | 3.8704 | 1.03 | 1908000 | 3.9831 |
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+ | 3.8615 | 0.03 | 1984320 | 3.9815 |
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+ | 3.8584 | 0.03 | 2060640 | 3.9799 |
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+ | 3.8554 | 1.03 | 2136960 | 3.9784 |
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+ | 3.8507 | 0.03 | 2213280 | 3.9773 |
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+ | 3.8436 | 0.03 | 2289600 | 3.9763 |
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+ | 3.8417 | 1.03 | 2365920 | 3.9754 |
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+ | 3.8366 | 0.03 | 2442240 | 3.9742 |
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+ | 3.8328 | 1.03 | 2518560 | 3.9736 |
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+ | 3.8293 | 0.03 | 2594880 | 3.9726 |
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+ | 3.8258 | 0.03 | 2671200 | 3.9719 |
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+ | 3.8263 | 0.03 | 2747520 | 3.9714 |
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+ | 3.8265 | 1.03 | 2823840 | 3.9709 |
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+ | 3.8291 | 0.03 | 2900160 | 3.9704 |
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+ | 3.8271 | 1.03 | 2976480 | 3.9701 |
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+ | 3.8234 | 0.02 | 3052726 | 3.9698 |
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+
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+
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+ ### Framework versions
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+
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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