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---
tags:
- generated_from_trainer
model-index:
- name: superlative-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. -->
# superlative-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: 3.8811
## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2257 | 0.03 | 76320 | 4.2120 |
| 4.0221 | 1.03 | 152640 | 4.0416 |
| 3.9131 | 0.03 | 228960 | 3.9674 |
| 3.8475 | 1.03 | 305280 | 3.9266 |
| 3.7974 | 0.03 | 381600 | 3.9019 |
| 3.7557 | 1.03 | 457920 | 3.8863 |
| 3.7223 | 0.03 | 534240 | 3.8759 |
| 3.696 | 1.03 | 610560 | 3.8692 |
| 3.668 | 0.03 | 686880 | 3.8648 |
| 3.6404 | 1.03 | 763200 | 3.8614 |
| 3.619 | 0.03 | 839520 | 3.8603 |
| 3.5962 | 1.03 | 915840 | 3.8590 |
| 3.5817 | 0.03 | 992160 | 3.8601 |
| 3.5625 | 0.03 | 1068480 | 3.8599 |
| 3.544 | 0.03 | 1144800 | 3.8615 |
| 3.5279 | 1.03 | 1221120 | 3.8617 |
| 3.5119 | 0.03 | 1297440 | 3.8635 |
| 3.4993 | 1.03 | 1373760 | 3.8644 |
| 3.4836 | 0.03 | 1450080 | 3.8650 |
| 3.4751 | 0.03 | 1526400 | 3.8681 |
| 3.467 | 0.03 | 1602720 | 3.8682 |
| 3.4583 | 0.03 | 1679040 | 3.8708 |
| 3.451 | 1.03 | 1755360 | 3.8718 |
| 3.4441 | 0.03 | 1831680 | 3.8737 |
| 3.429 | 0.03 | 1908000 | 3.8752 |
| 3.4162 | 1.03 | 1984320 | 3.8754 |
| 3.4051 | 0.03 | 2060640 | 3.8770 |
| 3.3914 | 0.03 | 2136960 | 3.8770 |
| 3.3854 | 0.03 | 2213280 | 3.8788 |
| 3.3745 | 1.03 | 2289600 | 3.8804 |
| 3.3613 | 0.03 | 2365920 | 3.8813 |
| 3.3479 | 1.03 | 2442240 | 3.8816 |
| 3.3373 | 0.03 | 2518560 | 3.8827 |
| 3.3284 | 0.03 | 2594880 | 3.8824 |
| 3.3156 | 0.03 | 2671200 | 3.8829 |
| 3.3124 | 1.03 | 2747520 | 3.8831 |
| 3.3082 | 0.03 | 2823840 | 3.8832 |
| 3.3015 | 0.03 | 2900160 | 3.8824 |
| 3.2982 | 1.03 | 2976480 | 3.8816 |
| 3.2944 | 0.02 | 3052726 | 3.8811 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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