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superlative-quantifier-lstm-2

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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: superlative-quantifier-lstm-2
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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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+ # superlative-quantifier-lstm-2
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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: 3.9856
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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: 2
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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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+ | 4.7739 | 0.03 | 76320 | 4.7591 |
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+ | 4.4948 | 1.03 | 152640 | 4.4813 |
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+ | 4.3521 | 0.03 | 228960 | 4.3474 |
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+ | 4.2673 | 1.03 | 305280 | 4.2657 |
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+ | 4.2044 | 0.03 | 381600 | 4.2106 |
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+ | 4.1584 | 1.03 | 457920 | 4.1697 |
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+ | 4.1237 | 0.03 | 534240 | 4.1397 |
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+ | 4.0937 | 1.03 | 610560 | 4.1153 |
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+ | 4.0646 | 0.03 | 686880 | 4.0961 |
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+ | 4.0397 | 1.03 | 763200 | 4.0802 |
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+ | 4.0188 | 0.03 | 839520 | 4.0677 |
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+ | 3.9979 | 1.03 | 915840 | 4.0576 |
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+ | 3.9875 | 0.03 | 992160 | 4.0478 |
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+ | 3.9694 | 1.03 | 1068480 | 4.0406 |
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+ | 3.9548 | 0.03 | 1144800 | 4.0342 |
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+ | 3.9407 | 0.03 | 1221120 | 4.0289 |
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+ | 3.9259 | 1.03 | 1297440 | 4.0236 |
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+ | 3.9208 | 2.03 | 1373760 | 4.0188 |
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+ | 3.9086 | 0.03 | 1450080 | 4.0158 |
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+ | 3.9049 | 1.03 | 1526400 | 4.0122 |
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+ | 3.9024 | 2.03 | 1602720 | 4.0090 |
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+ | 3.8964 | 0.03 | 1679040 | 4.0069 |
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+ | 3.8947 | 0.03 | 1755360 | 4.0043 |
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+ | 3.8923 | 0.03 | 1831680 | 4.0024 |
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+ | 3.8834 | 0.03 | 1908000 | 4.0003 |
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+ | 3.8735 | 1.03 | 1984320 | 3.9990 |
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+ | 3.8695 | 0.03 | 2060640 | 3.9974 |
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+ | 3.8628 | 1.03 | 2136960 | 3.9960 |
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+ | 3.8635 | 2.03 | 2213280 | 3.9948 |
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+ | 3.8567 | 0.03 | 2289600 | 3.9936 |
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+ | 3.8478 | 1.03 | 2365920 | 3.9924 |
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+ | 3.8426 | 2.03 | 2442240 | 3.9914 |
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+ | 3.8355 | 0.03 | 2518560 | 3.9904 |
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+ | 3.8351 | 0.03 | 2594880 | 3.9893 |
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+ | 3.8282 | 1.03 | 2671200 | 3.9884 |
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+ | 3.8322 | 2.03 | 2747520 | 3.9875 |
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+ | 3.8311 | 0.03 | 2823840 | 3.9872 |
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+ | 3.8322 | 0.03 | 2900160 | 3.9865 |
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+ | 3.8356 | 1.03 | 2976480 | 3.9860 |
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+ | 3.8367 | 2.02 | 3052726 | 3.9856 |
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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