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---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-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-transformer-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: 3.8606
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.226 | 0.03 | 76320 | 4.1970 |
| 4.0196 | 1.03 | 152640 | 4.0272 |
| 3.9103 | 0.03 | 228960 | 3.9532 |
| 3.842 | 1.03 | 305280 | 3.9117 |
| 3.7902 | 0.03 | 381600 | 3.8860 |
| 3.7496 | 1.03 | 457920 | 3.8709 |
| 3.7142 | 0.03 | 534240 | 3.8605 |
| 3.6843 | 1.03 | 610560 | 3.8533 |
| 3.6562 | 0.03 | 686880 | 3.8494 |
| 3.6294 | 1.03 | 763200 | 3.8464 |
| 3.6054 | 0.03 | 839520 | 3.8448 |
| 3.5872 | 1.03 | 915840 | 3.8442 |
| 3.5719 | 0.03 | 992160 | 3.8433 |
| 3.5494 | 1.03 | 1068480 | 3.8438 |
| 3.5361 | 0.03 | 1144800 | 3.8453 |
| 3.5229 | 1.03 | 1221120 | 3.8448 |
| 3.5091 | 0.03 | 1297440 | 3.8469 |
| 3.4962 | 0.03 | 1373760 | 3.8474 |
| 3.4817 | 0.03 | 1450080 | 3.8502 |
| 3.4739 | 1.03 | 1526400 | 3.8508 |
| 3.4641 | 0.03 | 1602720 | 3.8521 |
| 3.455 | 1.03 | 1679040 | 3.8532 |
| 3.4471 | 0.03 | 1755360 | 3.8544 |
| 3.4338 | 1.03 | 1831680 | 3.8554 |
| 3.4207 | 0.03 | 1908000 | 3.8572 |
| 3.4107 | 1.03 | 1984320 | 3.8577 |
| 3.3968 | 0.03 | 2060640 | 3.8601 |
| 3.3889 | 0.03 | 2136960 | 3.8605 |
| 3.3808 | 1.03 | 2213280 | 3.8612 |
| 3.364 | 0.03 | 2289600 | 3.8615 |
| 3.3563 | 1.03 | 2365920 | 3.8631 |
| 3.3506 | 0.03 | 2442240 | 3.8637 |
| 3.3402 | 1.03 | 2518560 | 3.8635 |
| 3.328 | 0.03 | 2594880 | 3.8644 |
| 3.3179 | 0.03 | 2671200 | 3.8645 |
| 3.3121 | 1.03 | 2747520 | 3.8638 |
| 3.3051 | 0.03 | 2823840 | 3.8637 |
| 3.3015 | 1.03 | 2900160 | 3.8633 |
| 3.2959 | 0.03 | 2976480 | 3.8622 |
| 3.2885 | 0.02 | 3052726 | 3.8606 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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