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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-3 |
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results: [] |
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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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# existential-there-quantifier-lstm-3 |
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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: 3.9719 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 3 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.787 | 0.03 | 76320 | 4.7500 | |
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| 4.5023 | 1.03 | 152640 | 4.4726 | |
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| 4.3574 | 0.03 | 228960 | 4.3385 | |
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| 4.2706 | 1.03 | 305280 | 4.2563 | |
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| 4.2067 | 0.03 | 381600 | 4.2004 | |
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| 4.1598 | 1.03 | 457920 | 4.1593 | |
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| 4.1222 | 0.03 | 534240 | 4.1286 | |
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| 4.0884 | 1.03 | 610560 | 4.1044 | |
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| 4.06 | 0.03 | 686880 | 4.0853 | |
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| 4.0349 | 1.03 | 763200 | 4.0699 | |
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| 4.0153 | 0.03 | 839520 | 4.0564 | |
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| 3.9999 | 1.03 | 915840 | 4.0454 | |
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| 3.9841 | 0.03 | 992160 | 4.0365 | |
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| 3.9663 | 1.03 | 1068480 | 4.0289 | |
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| 3.9576 | 0.03 | 1144800 | 4.0222 | |
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| 3.9434 | 1.03 | 1221120 | 4.0164 | |
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| 3.9331 | 0.03 | 1297440 | 4.0107 | |
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| 3.9224 | 1.03 | 1373760 | 4.0063 | |
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| 3.9117 | 0.03 | 1450080 | 4.0029 | |
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| 3.9068 | 1.03 | 1526400 | 3.9988 | |
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| 3.9024 | 0.03 | 1602720 | 3.9966 | |
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| 3.8961 | 1.03 | 1679040 | 3.9935 | |
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| 3.8922 | 0.03 | 1755360 | 3.9913 | |
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| 3.8832 | 0.03 | 1831680 | 3.9888 | |
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| 3.876 | 1.03 | 1908000 | 3.9861 | |
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| 3.8682 | 0.03 | 1984320 | 3.9844 | |
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| 3.8638 | 1.03 | 2060640 | 3.9831 | |
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| 3.8615 | 0.03 | 2136960 | 3.9816 | |
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| 3.8567 | 1.03 | 2213280 | 3.9804 | |
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| 3.85 | 0.03 | 2289600 | 3.9793 | |
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| 3.8483 | 1.03 | 2365920 | 3.9779 | |
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| 3.8467 | 0.03 | 2442240 | 3.9766 | |
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| 3.8417 | 0.03 | 2518560 | 3.9756 | |
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| 3.8381 | 1.03 | 2594880 | 3.9749 | |
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| 3.8329 | 0.03 | 2671200 | 3.9740 | |
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| 3.8346 | 1.03 | 2747520 | 3.9735 | |
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| 3.8324 | 0.03 | 2823840 | 3.9729 | |
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| 3.8333 | 1.03 | 2900160 | 3.9724 | |
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| 3.8332 | 0.03 | 2976480 | 3.9720 | |
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| 3.8296 | 1.02 | 3052726 | 3.9719 | |
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### Framework versions |
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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 |
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