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---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# existential-there-quantifier-lstm-0
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9732
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7923 | 0.03 | 76320 | 4.7567 |
| 4.5062 | 1.03 | 152640 | 4.4784 |
| 4.3611 | 0.03 | 228960 | 4.3434 |
| 4.2754 | 1.03 | 305280 | 4.2611 |
| 4.2127 | 0.03 | 381600 | 4.2044 |
| 4.1658 | 1.03 | 457920 | 4.1634 |
| 4.1265 | 0.03 | 534240 | 4.1321 |
| 4.093 | 1.03 | 610560 | 4.1083 |
| 4.0641 | 0.03 | 686880 | 4.0882 |
| 4.0398 | 1.03 | 763200 | 4.0726 |
| 4.0182 | 0.03 | 839520 | 4.0593 |
| 4.0039 | 1.03 | 915840 | 4.0482 |
| 3.9882 | 0.03 | 992160 | 4.0383 |
| 3.9712 | 1.03 | 1068480 | 4.0307 |
| 3.9598 | 0.03 | 1144800 | 4.0232 |
| 3.9485 | 1.03 | 1221120 | 4.0177 |
| 3.9388 | 0.03 | 1297440 | 4.0131 |
| 3.9269 | 0.03 | 1373760 | 4.0087 |
| 3.9167 | 1.03 | 1450080 | 4.0042 |
| 3.9134 | 0.03 | 1526400 | 4.0006 |
| 3.9061 | 0.03 | 1602720 | 3.9978 |
| 3.902 | 1.03 | 1679040 | 3.9954 |
| 3.8986 | 0.03 | 1755360 | 3.9927 |
| 3.8901 | 1.03 | 1831680 | 3.9912 |
| 3.8831 | 0.03 | 1908000 | 3.9885 |
| 3.8764 | 0.03 | 1984320 | 3.9866 |
| 3.87 | 0.03 | 2060640 | 3.9843 |
| 3.8692 | 1.03 | 2136960 | 3.9829 |
| 3.8652 | 0.03 | 2213280 | 3.9817 |
| 3.856 | 1.03 | 2289600 | 3.9807 |
| 3.8549 | 0.03 | 2365920 | 3.9794 |
| 3.8515 | 1.03 | 2442240 | 3.9785 |
| 3.8472 | 0.03 | 2518560 | 3.9777 |
| 3.8438 | 0.03 | 2594880 | 3.9771 |
| 3.8379 | 1.03 | 2671200 | 3.9760 |
| 3.841 | 0.03 | 2747520 | 3.9755 |
| 3.8389 | 0.03 | 2823840 | 3.9748 |
| 3.8408 | 1.03 | 2900160 | 3.9742 |
| 3.8396 | 0.03 | 2976480 | 3.9736 |
| 3.8366 | 1.02 | 3052726 | 3.9732 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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