transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
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
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# 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
