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---
tags:
- generated_from_trainer
model-index:
- name: superlative-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. -->
# superlative-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: 3.8837
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2249 | 0.03 | 76320 | 4.2087 |
| 4.0213 | 1.03 | 152640 | 4.0412 |
| 3.9129 | 0.03 | 228960 | 3.9686 |
| 3.8461 | 1.03 | 305280 | 3.9269 |
| 3.7962 | 0.03 | 381600 | 3.9027 |
| 3.7546 | 1.03 | 457920 | 3.8871 |
| 3.7204 | 0.03 | 534240 | 3.8776 |
| 3.6945 | 1.03 | 610560 | 3.8700 |
| 3.6672 | 0.03 | 686880 | 3.8669 |
| 3.6407 | 1.03 | 763200 | 3.8640 |
| 3.6177 | 0.03 | 839520 | 3.8625 |
| 3.5958 | 1.03 | 915840 | 3.8626 |
| 3.5814 | 0.03 | 992160 | 3.8629 |
| 3.5614 | 0.03 | 1068480 | 3.8633 |
| 3.5415 | 1.03 | 1144800 | 3.8646 |
| 3.5217 | 0.03 | 1221120 | 3.8653 |
| 3.5054 | 1.03 | 1297440 | 3.8664 |
| 3.4924 | 0.03 | 1373760 | 3.8680 |
| 3.4793 | 1.03 | 1450080 | 3.8683 |
| 3.471 | 0.03 | 1526400 | 3.8702 |
| 3.4648 | 0.03 | 1602720 | 3.8718 |
| 3.4555 | 1.03 | 1679040 | 3.8740 |
| 3.4495 | 0.03 | 1755360 | 3.8754 |
| 3.4407 | 1.03 | 1831680 | 3.8771 |
| 3.4286 | 0.03 | 1908000 | 3.8777 |
| 3.416 | 0.03 | 1984320 | 3.8798 |
| 3.4039 | 0.03 | 2060640 | 3.8813 |
| 3.3906 | 0.03 | 2136960 | 3.8828 |
| 3.3851 | 0.03 | 2213280 | 3.8833 |
| 3.3725 | 1.03 | 2289600 | 3.8836 |
| 3.3602 | 0.03 | 2365920 | 3.8841 |
| 3.346 | 0.03 | 2442240 | 3.8842 |
| 3.3344 | 0.03 | 2518560 | 3.8863 |
| 3.3257 | 1.03 | 2594880 | 3.8859 |
| 3.3147 | 0.03 | 2671200 | 3.8859 |
| 3.3089 | 1.03 | 2747520 | 3.8863 |
| 3.3062 | 0.03 | 2823840 | 3.8858 |
| 3.3 | 1.03 | 2900160 | 3.8854 |
| 3.2978 | 0.03 | 2976480 | 3.8848 |
| 3.294 | 0.02 | 3052726 | 3.8837 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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