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---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-1
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-transformer-1
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: 3.8839
## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2616 | 0.03 | 76320 | 4.2240 |
| 4.0508 | 1.03 | 152640 | 4.0508 |
| 3.9401 | 0.03 | 228960 | 3.9758 |
| 3.865 | 1.03 | 305280 | 3.9339 |
| 3.8135 | 0.03 | 381600 | 3.9073 |
| 3.7714 | 1.03 | 457920 | 3.8895 |
| 3.7388 | 0.03 | 534240 | 3.8792 |
| 3.7131 | 1.03 | 610560 | 3.8728 |
| 3.684 | 0.03 | 686880 | 3.8681 |
| 3.6636 | 1.03 | 763200 | 3.8646 |
| 3.6394 | 0.03 | 839520 | 3.8636 |
| 3.617 | 1.03 | 915840 | 3.8631 |
| 3.5998 | 0.03 | 992160 | 3.8632 |
| 3.5818 | 1.03 | 1068480 | 3.8621 |
| 3.5593 | 0.03 | 1144800 | 3.8644 |
| 3.5503 | 1.03 | 1221120 | 3.8656 |
| 3.5342 | 0.03 | 1297440 | 3.8669 |
| 3.5177 | 0.03 | 1373760 | 3.8686 |
| 3.5074 | 1.03 | 1450080 | 3.8695 |
| 3.4918 | 0.03 | 1526400 | 3.8712 |
| 3.4844 | 1.03 | 1602720 | 3.8720 |
| 3.4726 | 0.03 | 1679040 | 3.8740 |
| 3.4666 | 0.03 | 1755360 | 3.8755 |
| 3.4589 | 0.03 | 1831680 | 3.8769 |
| 3.4472 | 1.03 | 1908000 | 3.8772 |
| 3.4392 | 0.03 | 1984320 | 3.8804 |
| 3.4254 | 1.03 | 2060640 | 3.8811 |
| 3.4139 | 0.03 | 2136960 | 3.8819 |
| 3.4048 | 1.03 | 2213280 | 3.8826 |
| 3.39 | 0.03 | 2289600 | 3.8845 |
| 3.3736 | 0.03 | 2365920 | 3.8846 |
| 3.3731 | 0.03 | 2442240 | 3.8849 |
| 3.3589 | 1.03 | 2518560 | 3.8856 |
| 3.3472 | 0.03 | 2594880 | 3.8856 |
| 3.3408 | 1.03 | 2671200 | 3.8866 |
| 3.3287 | 0.03 | 2747520 | 3.8863 |
| 3.3257 | 0.03 | 2823840 | 3.8861 |
| 3.318 | 0.03 | 2900160 | 3.8854 |
| 3.3149 | 1.03 | 2976480 | 3.8846 |
| 3.3129 | 0.02 | 3052726 | 3.8839 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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