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---
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-transformer-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. -->
# superlative-quantifier-transformer-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: 3.8856
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2306 | 0.03 | 76320 | 4.2201 |
| 4.0253 | 1.03 | 152640 | 4.0477 |
| 3.9163 | 0.03 | 228960 | 3.9724 |
| 3.8489 | 0.03 | 305280 | 3.9299 |
| 3.7989 | 1.03 | 381600 | 3.9039 |
| 3.7564 | 0.03 | 457920 | 3.8884 |
| 3.7234 | 1.03 | 534240 | 3.8788 |
| 3.6968 | 0.03 | 610560 | 3.8713 |
| 3.6681 | 1.03 | 686880 | 3.8674 |
| 3.6431 | 0.03 | 763200 | 3.8649 |
| 3.6175 | 1.03 | 839520 | 3.8633 |
| 3.598 | 0.03 | 915840 | 3.8642 |
| 3.583 | 0.03 | 992160 | 3.8640 |
| 3.5621 | 1.03 | 1068480 | 3.8648 |
| 3.547 | 0.03 | 1144800 | 3.8659 |
| 3.5256 | 1.03 | 1221120 | 3.8667 |
| 3.5086 | 0.03 | 1297440 | 3.8688 |
| 3.495 | 1.03 | 1373760 | 3.8700 |
| 3.4808 | 0.03 | 1450080 | 3.8722 |
| 3.4732 | 1.03 | 1526400 | 3.8723 |
| 3.4675 | 0.03 | 1602720 | 3.8748 |
| 3.4571 | 0.03 | 1679040 | 3.8764 |
| 3.4518 | 0.03 | 1755360 | 3.8770 |
| 3.443 | 1.03 | 1831680 | 3.8785 |
| 3.4294 | 0.03 | 1908000 | 3.8809 |
| 3.4177 | 1.03 | 1984320 | 3.8815 |
| 3.4052 | 0.03 | 2060640 | 3.8838 |
| 3.3927 | 1.03 | 2136960 | 3.8837 |
| 3.3877 | 0.03 | 2213280 | 3.8853 |
| 3.3741 | 1.03 | 2289600 | 3.8868 |
| 3.3619 | 0.03 | 2365920 | 3.8880 |
| 3.3485 | 1.03 | 2442240 | 3.8876 |
| 3.3367 | 0.03 | 2518560 | 3.8876 |
| 3.3265 | 1.03 | 2594880 | 3.8885 |
| 3.3158 | 0.03 | 2671200 | 3.8887 |
| 3.3131 | 1.03 | 2747520 | 3.8890 |
| 3.3081 | 0.03 | 2823840 | 3.8884 |
| 3.3024 | 1.03 | 2900160 | 3.8880 |
| 3.2987 | 0.03 | 2976480 | 3.8873 |
| 3.2952 | 0.02 | 3052726 | 3.8856 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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