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old-existential-there-quantifier-lstm-4

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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: 3.9940
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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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+ | 4.8393 | 0.03 | 76320 | 4.7994 |
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+ | 4.545 | 1.03 | 152640 | 4.5108 |
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+ | 4.4018 | 0.03 | 228960 | 4.3731 |
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+ | 4.307 | 1.03 | 305280 | 4.2876 |
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+ | 4.2466 | 0.03 | 381600 | 4.2296 |
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+ | 4.1988 | 1.03 | 457920 | 4.1882 |
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+ | 4.1617 | 0.03 | 534240 | 4.1563 |
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+ | 4.1348 | 1.03 | 610560 | 4.1320 |
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+ | 4.1044 | 0.03 | 686880 | 4.1122 |
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+ | 4.0846 | 1.03 | 763200 | 4.0961 |
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+ | 4.0615 | 0.03 | 839520 | 4.0829 |
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+ | 4.0398 | 1.03 | 915840 | 4.0709 |
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+ | 4.0253 | 0.03 | 992160 | 4.0623 |
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+ | 4.009 | 1.03 | 1068480 | 4.0539 |
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+ | 3.9899 | 0.03 | 1144800 | 4.0468 |
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+ | 3.9844 | 0.03 | 1221120 | 4.0409 |
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+ | 3.9692 | 1.03 | 1297440 | 4.0347 |
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+ | 3.9603 | 0.03 | 1373760 | 4.0302 |
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+ | 3.9517 | 1.03 | 1450080 | 4.0258 |
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+ | 3.9412 | 0.03 | 1526400 | 4.0220 |
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+ | 3.9384 | 0.03 | 1602720 | 4.0190 |
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+ | 3.933 | 1.03 | 1679040 | 4.0162 |
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+ | 3.9305 | 0.03 | 1755360 | 4.0140 |
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+ | 3.9288 | 0.03 | 1831680 | 4.0118 |
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+ | 3.921 | 1.03 | 1908000 | 4.0093 |
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+ | 3.9189 | 0.03 | 1984320 | 4.0075 |
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+ | 3.9116 | 1.03 | 2060640 | 4.0056 |
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+ | 3.9036 | 0.03 | 2136960 | 4.0040 |
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+ | 3.9001 | 1.03 | 2213280 | 4.0028 |
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+ | 3.8925 | 0.03 | 2289600 | 4.0014 |
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+ | 3.8851 | 1.03 | 2365920 | 4.0003 |
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+ | 3.8851 | 0.03 | 2442240 | 3.9992 |
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+ | 3.8813 | 0.03 | 2518560 | 3.9984 |
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+ | 3.8756 | 0.03 | 2594880 | 3.9975 |
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+ | 3.8726 | 1.03 | 2671200 | 3.9969 |
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+ | 3.8673 | 0.03 | 2747520 | 3.9959 |
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+ | 3.871 | 1.03 | 2823840 | 3.9953 |
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+ | 3.8704 | 0.03 | 2900160 | 3.9947 |
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+ | 3.8717 | 1.03 | 2976480 | 3.9943 |
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+ | 3.8734 | 0.02 | 3052726 | 3.9940 |
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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