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existential-there-quantifier-lstm-1

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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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+
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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-1
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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: 3.9707
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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: 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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+
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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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+ | 4.7869 | 0.03 | 76320 | 4.7523 |
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+ | 4.5021 | 1.03 | 152640 | 4.4735 |
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+ | 4.3565 | 0.03 | 228960 | 4.3382 |
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+ | 4.2703 | 1.03 | 305280 | 4.2550 |
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+ | 4.207 | 0.03 | 381600 | 4.1988 |
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+ | 4.1597 | 1.03 | 457920 | 4.1581 |
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+ | 4.1214 | 0.03 | 534240 | 4.1265 |
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+ | 4.087 | 1.03 | 610560 | 4.1024 |
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+ | 4.0579 | 0.03 | 686880 | 4.0837 |
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+ | 4.0324 | 1.03 | 763200 | 4.0681 |
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+ | 4.0127 | 0.03 | 839520 | 4.0550 |
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+ | 3.9967 | 1.03 | 915840 | 4.0433 |
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+ | 3.9826 | 0.03 | 992160 | 4.0345 |
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+ | 3.9648 | 0.03 | 1068480 | 4.0267 |
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+ | 3.9536 | 1.03 | 1144800 | 4.0200 |
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+ | 3.9427 | 0.03 | 1221120 | 4.0140 |
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+ | 3.9321 | 0.03 | 1297440 | 4.0089 |
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+ | 3.9207 | 1.03 | 1373760 | 4.0047 |
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+ | 3.9104 | 0.03 | 1450080 | 4.0004 |
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+ | 3.9059 | 1.03 | 1526400 | 3.9965 |
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+ | 3.9015 | 0.03 | 1602720 | 3.9936 |
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+ | 3.8966 | 1.03 | 1679040 | 3.9912 |
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+ | 3.8904 | 0.03 | 1755360 | 3.9888 |
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+ | 3.8823 | 1.03 | 1831680 | 3.9863 |
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+ | 3.8772 | 0.03 | 1908000 | 3.9844 |
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+ | 3.8681 | 0.03 | 1984320 | 3.9819 |
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+ | 3.8644 | 1.03 | 2060640 | 3.9805 |
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+ | 3.861 | 0.03 | 2136960 | 3.9793 |
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+ | 3.8578 | 1.03 | 2213280 | 3.9780 |
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+ | 3.8507 | 0.03 | 2289600 | 3.9769 |
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+ | 3.8499 | 1.03 | 2365920 | 3.9759 |
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+ | 3.8477 | 0.03 | 2442240 | 3.9749 |
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+ | 3.8431 | 1.03 | 2518560 | 3.9742 |
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+ | 3.8386 | 0.03 | 2594880 | 3.9735 |
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+ | 3.8348 | 0.03 | 2671200 | 3.9727 |
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+ | 3.8369 | 0.03 | 2747520 | 3.9720 |
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+ | 3.8354 | 1.03 | 2823840 | 3.9718 |
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+ | 3.8366 | 0.03 | 2900160 | 3.9713 |
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+ | 3.8366 | 1.03 | 2976480 | 3.9710 |
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+ | 3.8324 | 0.02 | 3052726 | 3.9707 |
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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