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existential-there-quantifier-lstm-0

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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-0
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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-0
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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: 3.9732
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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: 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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+
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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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+ | 4.7923 | 0.03 | 76320 | 4.7567 |
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+ | 4.5062 | 1.03 | 152640 | 4.4784 |
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+ | 4.3611 | 0.03 | 228960 | 4.3434 |
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+ | 4.2754 | 1.03 | 305280 | 4.2611 |
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+ | 4.2127 | 0.03 | 381600 | 4.2044 |
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+ | 4.1658 | 1.03 | 457920 | 4.1634 |
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+ | 4.1265 | 0.03 | 534240 | 4.1321 |
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+ | 4.093 | 1.03 | 610560 | 4.1083 |
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+ | 4.0641 | 0.03 | 686880 | 4.0882 |
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+ | 4.0398 | 1.03 | 763200 | 4.0726 |
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+ | 4.0182 | 0.03 | 839520 | 4.0593 |
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+ | 4.0039 | 1.03 | 915840 | 4.0482 |
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+ | 3.9882 | 0.03 | 992160 | 4.0383 |
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+ | 3.9712 | 1.03 | 1068480 | 4.0307 |
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+ | 3.9598 | 0.03 | 1144800 | 4.0232 |
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+ | 3.9485 | 1.03 | 1221120 | 4.0177 |
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+ | 3.9388 | 0.03 | 1297440 | 4.0131 |
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+ | 3.9269 | 0.03 | 1373760 | 4.0087 |
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+ | 3.9167 | 1.03 | 1450080 | 4.0042 |
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+ | 3.9134 | 0.03 | 1526400 | 4.0006 |
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+ | 3.9061 | 0.03 | 1602720 | 3.9978 |
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+ | 3.902 | 1.03 | 1679040 | 3.9954 |
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+ | 3.8986 | 0.03 | 1755360 | 3.9927 |
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+ | 3.8901 | 1.03 | 1831680 | 3.9912 |
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+ | 3.8831 | 0.03 | 1908000 | 3.9885 |
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+ | 3.8764 | 0.03 | 1984320 | 3.9866 |
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+ | 3.87 | 0.03 | 2060640 | 3.9843 |
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+ | 3.8692 | 1.03 | 2136960 | 3.9829 |
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+ | 3.8652 | 0.03 | 2213280 | 3.9817 |
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+ | 3.856 | 1.03 | 2289600 | 3.9807 |
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+ | 3.8549 | 0.03 | 2365920 | 3.9794 |
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+ | 3.8515 | 1.03 | 2442240 | 3.9785 |
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+ | 3.8472 | 0.03 | 2518560 | 3.9777 |
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+ | 3.8438 | 0.03 | 2594880 | 3.9771 |
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+ | 3.8379 | 1.03 | 2671200 | 3.9760 |
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+ | 3.841 | 0.03 | 2747520 | 3.9755 |
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+ | 3.8389 | 0.03 | 2823840 | 3.9748 |
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+ | 3.8408 | 1.03 | 2900160 | 3.9742 |
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+ | 3.8396 | 0.03 | 2976480 | 3.9736 |
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+ | 3.8366 | 1.02 | 3052726 | 3.9732 |
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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