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superlative-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: superlative-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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+ # superlative-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: 3.9895
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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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+ | 4.7768 | 0.03 | 76320 | 4.7625 |
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+ | 4.4994 | 1.03 | 152640 | 4.4851 |
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+ | 4.3586 | 0.03 | 228960 | 4.3523 |
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+ | 4.2722 | 1.03 | 305280 | 4.2704 |
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+ | 4.2128 | 2.03 | 381600 | 4.2144 |
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+ | 4.1637 | 0.03 | 457920 | 4.1737 |
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+ | 4.1288 | 1.03 | 534240 | 4.1432 |
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+ | 4.0985 | 0.03 | 610560 | 4.1191 |
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+ | 4.0699 | 1.03 | 686880 | 4.0997 |
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+ | 4.0461 | 2.03 | 763200 | 4.0839 |
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+ | 4.0238 | 0.03 | 839520 | 4.0716 |
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+ | 4.0037 | 1.03 | 915840 | 4.0607 |
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+ | 3.9934 | 0.03 | 992160 | 4.0516 |
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+ | 3.9755 | 1.03 | 1068480 | 4.0440 |
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+ | 3.9605 | 0.03 | 1144800 | 4.0370 |
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+ | 3.9465 | 0.03 | 1221120 | 4.0317 |
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+ | 3.9323 | 1.03 | 1297440 | 4.0269 |
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+ | 3.9218 | 0.03 | 1373760 | 4.0221 |
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+ | 3.9132 | 1.03 | 1450080 | 4.0180 |
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+ | 3.9112 | 0.03 | 1526400 | 4.0147 |
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+ | 3.9084 | 1.03 | 1602720 | 4.0120 |
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+ | 3.9015 | 0.03 | 1679040 | 4.0093 |
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+ | 3.8991 | 1.03 | 1755360 | 4.0071 |
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+ | 3.8977 | 0.03 | 1831680 | 4.0053 |
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+ | 3.8892 | 0.03 | 1908000 | 4.0033 |
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+ | 3.8818 | 0.03 | 1984320 | 4.0013 |
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+ | 3.8748 | 0.03 | 2060640 | 3.9992 |
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+ | 3.8679 | 1.03 | 2136960 | 3.9976 |
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+ | 3.8693 | 2.03 | 2213280 | 3.9966 |
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+ | 3.8634 | 0.03 | 2289600 | 3.9957 |
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+ | 3.8557 | 1.03 | 2365920 | 3.9948 |
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+ | 3.85 | 0.03 | 2442240 | 3.9942 |
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+ | 3.8426 | 1.03 | 2518560 | 3.9934 |
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+ | 3.8418 | 0.03 | 2594880 | 3.9927 |
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+ | 3.835 | 1.03 | 2671200 | 3.9919 |
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+ | 3.8405 | 2.03 | 2747520 | 3.9913 |
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+ | 3.8384 | 0.03 | 2823840 | 3.9907 |
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+ | 3.8387 | 1.03 | 2900160 | 3.9903 |
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+ | 3.8427 | 0.03 | 2976480 | 3.9898 |
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+ | 3.8428 | 1.02 | 3052726 | 3.9895 |
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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