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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-2 |
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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-2 |
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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: 3.9956 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.8395 | 0.03 | 76320 | 4.7977 | |
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| 4.5474 | 1.03 | 152640 | 4.5109 | |
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| 4.4015 | 0.03 | 228960 | 4.3723 | |
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| 4.3064 | 1.03 | 305280 | 4.2870 | |
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| 4.245 | 0.03 | 381600 | 4.2297 | |
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| 4.1964 | 1.03 | 457920 | 4.1873 | |
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| 4.1603 | 0.03 | 534240 | 4.1561 | |
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| 4.1312 | 1.03 | 610560 | 4.1313 | |
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| 4.102 | 0.03 | 686880 | 4.1114 | |
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| 4.0817 | 1.03 | 763200 | 4.0951 | |
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| 4.0587 | 0.03 | 839520 | 4.0820 | |
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| 4.0367 | 1.03 | 915840 | 4.0709 | |
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| 4.0242 | 0.03 | 992160 | 4.0620 | |
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| 4.008 | 1.03 | 1068480 | 4.0537 | |
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| 3.9878 | 0.03 | 1144800 | 4.0458 | |
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| 3.9807 | 1.03 | 1221120 | 4.0401 | |
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| 3.9693 | 0.03 | 1297440 | 4.0351 | |
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| 3.9571 | 1.03 | 1373760 | 4.0307 | |
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| 3.9487 | 0.03 | 1450080 | 4.0271 | |
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| 3.9399 | 1.03 | 1526400 | 4.0231 | |
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| 3.937 | 0.03 | 1602720 | 4.0198 | |
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| 3.931 | 1.03 | 1679040 | 4.0166 | |
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| 3.9284 | 0.03 | 1755360 | 4.0143 | |
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| 3.9273 | 0.03 | 1831680 | 4.0123 | |
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| 3.9169 | 1.03 | 1908000 | 4.0098 | |
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| 3.9161 | 0.03 | 1984320 | 4.0084 | |
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| 3.9107 | 1.03 | 2060640 | 4.0066 | |
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| 3.9021 | 0.03 | 2136960 | 4.0053 | |
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| 3.8983 | 1.03 | 2213280 | 4.0038 | |
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| 3.8927 | 0.03 | 2289600 | 4.0029 | |
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| 3.8835 | 1.03 | 2365920 | 4.0017 | |
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| 3.8847 | 0.03 | 2442240 | 4.0006 | |
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| 3.8779 | 0.03 | 2518560 | 3.9999 | |
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| 3.8749 | 0.03 | 2594880 | 3.9989 | |
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| 3.8715 | 1.03 | 2671200 | 3.9982 | |
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| 3.8664 | 0.03 | 2747520 | 3.9975 | |
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| 3.8704 | 1.03 | 2823840 | 3.9968 | |
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| 3.8676 | 0.03 | 2900160 | 3.9962 | |
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| 3.872 | 1.03 | 2976480 | 3.9960 | |
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| 3.8715 | 0.02 | 3052726 | 3.9956 | |
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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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