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---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-2
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-2
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: 3.9729
## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7913 | 0.03 | 76320 | 4.7542 |
| 4.5039 | 1.03 | 152640 | 4.4751 |
| 4.357 | 0.03 | 228960 | 4.3406 |
| 4.2713 | 1.03 | 305280 | 4.2572 |
| 4.2085 | 0.03 | 381600 | 4.2010 |
| 4.1613 | 1.03 | 457920 | 4.1603 |
| 4.1228 | 0.03 | 534240 | 4.1289 |
| 4.089 | 1.03 | 610560 | 4.1055 |
| 4.0595 | 0.03 | 686880 | 4.0853 |
| 4.0332 | 1.03 | 763200 | 4.0699 |
| 4.0146 | 0.03 | 839520 | 4.0573 |
| 3.9976 | 1.03 | 915840 | 4.0465 |
| 3.9823 | 0.03 | 992160 | 4.0367 |
| 3.9632 | 1.03 | 1068480 | 4.0281 |
| 3.9531 | 0.03 | 1144800 | 4.0213 |
| 3.9436 | 1.03 | 1221120 | 4.0160 |
| 3.9327 | 0.03 | 1297440 | 4.0104 |
| 3.9211 | 0.03 | 1373760 | 4.0062 |
| 3.9104 | 1.03 | 1450080 | 4.0026 |
| 3.9064 | 0.03 | 1526400 | 3.9989 |
| 3.9013 | 1.03 | 1602720 | 3.9960 |
| 3.8972 | 0.03 | 1679040 | 3.9932 |
| 3.892 | 1.03 | 1755360 | 3.9908 |
| 3.885 | 0.03 | 1831680 | 3.9884 |
| 3.876 | 1.03 | 1908000 | 3.9867 |
| 3.8692 | 0.03 | 1984320 | 3.9848 |
| 3.8647 | 1.03 | 2060640 | 3.9833 |
| 3.862 | 0.03 | 2136960 | 3.9816 |
| 3.8582 | 1.03 | 2213280 | 3.9808 |
| 3.8502 | 0.03 | 2289600 | 3.9794 |
| 3.8488 | 1.03 | 2365920 | 3.9786 |
| 3.8459 | 0.03 | 2442240 | 3.9775 |
| 3.8421 | 1.03 | 2518560 | 3.9767 |
| 3.8386 | 0.03 | 2594880 | 3.9759 |
| 3.8348 | 0.03 | 2671200 | 3.9752 |
| 3.8363 | 1.03 | 2747520 | 3.9745 |
| 3.8364 | 0.03 | 2823840 | 3.9742 |
| 3.8368 | 1.03 | 2900160 | 3.9737 |
| 3.8342 | 0.03 | 2976480 | 3.9733 |
| 3.8297 | 1.02 | 3052726 | 3.9729 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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