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superlative-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: superlative-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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+ # superlative-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: 3.9898
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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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+ | 4.7903 | 0.03 | 76320 | 4.7765 |
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+ | 4.5105 | 1.03 | 152640 | 4.4958 |
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+ | 4.3672 | 0.03 | 228960 | 4.3606 |
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+ | 4.282 | 1.03 | 305280 | 4.2770 |
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+ | 4.2196 | 0.03 | 381600 | 4.2205 |
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+ | 4.1715 | 1.03 | 457920 | 4.1797 |
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+ | 4.1356 | 2.03 | 534240 | 4.1483 |
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+ | 4.1053 | 0.03 | 610560 | 4.1234 |
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+ | 4.0757 | 1.03 | 686880 | 4.1042 |
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+ | 4.0511 | 2.03 | 763200 | 4.0878 |
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+ | 4.0272 | 0.03 | 839520 | 4.0751 |
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+ | 4.009 | 1.03 | 915840 | 4.0643 |
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+ | 3.9972 | 0.03 | 992160 | 4.0550 |
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+ | 3.9818 | 1.03 | 1068480 | 4.0474 |
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+ | 3.9665 | 0.03 | 1144800 | 4.0404 |
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+ | 3.9515 | 1.03 | 1221120 | 4.0340 |
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+ | 3.9376 | 0.03 | 1297440 | 4.0286 |
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+ | 3.9283 | 1.03 | 1373760 | 4.0239 |
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+ | 3.9186 | 0.03 | 1450080 | 4.0205 |
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+ | 3.9169 | 1.03 | 1526400 | 4.0173 |
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+ | 3.9113 | 0.03 | 1602720 | 4.0143 |
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+ | 3.9058 | 1.03 | 1679040 | 4.0113 |
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+ | 3.9044 | 2.03 | 1755360 | 4.0088 |
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+ | 3.8991 | 0.03 | 1831680 | 4.0061 |
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+ | 3.891 | 1.03 | 1908000 | 4.0039 |
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+ | 3.8847 | 0.03 | 1984320 | 4.0019 |
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+ | 3.8766 | 0.03 | 2060640 | 4.0003 |
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+ | 3.8712 | 1.03 | 2136960 | 3.9989 |
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+ | 3.8716 | 0.03 | 2213280 | 3.9979 |
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+ | 3.8644 | 0.03 | 2289600 | 3.9967 |
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+ | 3.8586 | 1.03 | 2365920 | 3.9958 |
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+ | 3.8509 | 2.03 | 2442240 | 3.9947 |
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+ | 3.8473 | 0.03 | 2518560 | 3.9940 |
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+ | 3.8436 | 1.03 | 2594880 | 3.9932 |
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+ | 3.8378 | 2.03 | 2671200 | 3.9925 |
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+ | 3.8413 | 0.03 | 2747520 | 3.9915 |
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+ | 3.8424 | 0.03 | 2823840 | 3.9909 |
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+ | 3.8415 | 1.03 | 2900160 | 3.9904 |
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+ | 3.843 | 0.03 | 2976480 | 3.9900 |
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+ | 3.8446 | 1.02 | 3052726 | 3.9898 |
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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