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---
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-transformer-3
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-3
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: 3.8809
## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2274 | 0.03 | 76320 | 4.2122 |
| 4.0217 | 1.03 | 152640 | 4.0429 |
| 3.9138 | 0.03 | 228960 | 3.9681 |
| 3.847 | 1.03 | 305280 | 3.9266 |
| 3.7968 | 0.03 | 381600 | 3.9022 |
| 3.7555 | 1.03 | 457920 | 3.8854 |
| 3.7231 | 0.03 | 534240 | 3.8756 |
| 3.696 | 1.03 | 610560 | 3.8691 |
| 3.6687 | 0.03 | 686880 | 3.8645 |
| 3.642 | 1.03 | 763200 | 3.8634 |
| 3.6205 | 0.03 | 839520 | 3.8609 |
| 3.5972 | 1.03 | 915840 | 3.8607 |
| 3.5832 | 0.03 | 992160 | 3.8597 |
| 3.564 | 0.03 | 1068480 | 3.8614 |
| 3.5446 | 1.03 | 1144800 | 3.8617 |
| 3.5275 | 0.03 | 1221120 | 3.8629 |
| 3.5116 | 1.03 | 1297440 | 3.8646 |
| 3.4951 | 0.03 | 1373760 | 3.8642 |
| 3.4826 | 1.03 | 1450080 | 3.8669 |
| 3.4759 | 0.03 | 1526400 | 3.8677 |
| 3.466 | 1.03 | 1602720 | 3.8688 |
| 3.456 | 0.03 | 1679040 | 3.8713 |
| 3.4498 | 0.03 | 1755360 | 3.8724 |
| 3.4418 | 1.03 | 1831680 | 3.8738 |
| 3.4263 | 0.03 | 1908000 | 3.8743 |
| 3.4157 | 0.03 | 1984320 | 3.8782 |
| 3.4027 | 1.03 | 2060640 | 3.8770 |
| 3.3903 | 0.03 | 2136960 | 3.8805 |
| 3.3845 | 0.03 | 2213280 | 3.8793 |
| 3.3713 | 0.03 | 2289600 | 3.8804 |
| 3.3606 | 1.03 | 2365920 | 3.8811 |
| 3.3478 | 0.03 | 2442240 | 3.8819 |
| 3.3346 | 0.03 | 2518560 | 3.8828 |
| 3.3264 | 1.03 | 2594880 | 3.8833 |
| 3.3163 | 0.03 | 2671200 | 3.8837 |
| 3.3109 | 0.03 | 2747520 | 3.8838 |
| 3.3066 | 1.03 | 2823840 | 3.8829 |
| 3.3018 | 0.03 | 2900160 | 3.8825 |
| 3.2973 | 1.03 | 2976480 | 3.8817 |
| 3.2935 | 0.02 | 3052726 | 3.8809 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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