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old-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: 3.9934
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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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+ | 4.8273 | 0.03 | 76320 | 4.7836 |
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+ | 4.5391 | 1.03 | 152640 | 4.5012 |
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+ | 4.3969 | 0.03 | 228960 | 4.3667 |
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+ | 4.3045 | 1.03 | 305280 | 4.2836 |
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+ | 4.2419 | 0.03 | 381600 | 4.2262 |
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+ | 4.192 | 1.03 | 457920 | 4.1851 |
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+ | 4.1562 | 0.03 | 534240 | 4.1534 |
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+ | 4.1266 | 1.03 | 610560 | 4.1292 |
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+ | 4.0984 | 0.03 | 686880 | 4.1090 |
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+ | 4.0793 | 1.03 | 763200 | 4.0937 |
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+ | 4.0568 | 0.03 | 839520 | 4.0802 |
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+ | 4.0358 | 1.03 | 915840 | 4.0689 |
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+ | 4.0206 | 0.03 | 992160 | 4.0594 |
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+ | 4.0044 | 1.03 | 1068480 | 4.0509 |
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+ | 3.9856 | 0.03 | 1144800 | 4.0442 |
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+ | 3.9794 | 0.03 | 1221120 | 4.0388 |
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+ | 3.9662 | 1.03 | 1297440 | 4.0339 |
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+ | 3.9543 | 0.03 | 1373760 | 4.0289 |
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+ | 3.947 | 0.03 | 1450080 | 4.0247 |
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+ | 3.9364 | 1.03 | 1526400 | 4.0203 |
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+ | 3.9341 | 0.03 | 1602720 | 4.0168 |
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+ | 3.9302 | 1.03 | 1679040 | 4.0148 |
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+ | 3.9262 | 0.03 | 1755360 | 4.0128 |
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+ | 3.9228 | 1.03 | 1831680 | 4.0098 |
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+ | 3.9153 | 0.03 | 1908000 | 4.0084 |
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+ | 3.9142 | 1.03 | 1984320 | 4.0067 |
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+ | 3.9089 | 0.03 | 2060640 | 4.0050 |
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+ | 3.9009 | 1.03 | 2136960 | 4.0033 |
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+ | 3.8964 | 0.03 | 2213280 | 4.0018 |
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+ | 3.8902 | 1.03 | 2289600 | 4.0003 |
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+ | 3.8809 | 0.03 | 2365920 | 3.9990 |
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+ | 3.8823 | 1.03 | 2442240 | 3.9980 |
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+ | 3.8772 | 0.03 | 2518560 | 3.9973 |
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+ | 3.8719 | 0.03 | 2594880 | 3.9966 |
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+ | 3.8723 | 1.03 | 2671200 | 3.9958 |
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+ | 3.8664 | 0.03 | 2747520 | 3.9952 |
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+ | 3.8675 | 1.03 | 2823840 | 3.9947 |
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+ | 3.8662 | 0.03 | 2900160 | 3.9940 |
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+ | 3.8698 | 1.03 | 2976480 | 3.9936 |
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+ | 3.871 | 0.02 | 3052726 | 3.9934 |
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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