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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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<!-- 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-4 |
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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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## 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: 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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### Training results |
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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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### 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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