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-4
  results: []
---

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# superlative-quantifier-transformer-4

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: 3.8820

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2348        | 0.03  | 76320   | 4.2210          |
| 4.0286        | 1.03  | 152640  | 4.0483          |
| 3.9187        | 0.03  | 228960  | 3.9727          |
| 3.8523        | 1.03  | 305280  | 3.9304          |
| 3.8009        | 0.03  | 381600  | 3.9063          |
| 3.7572        | 1.03  | 457920  | 3.8901          |
| 3.7252        | 0.03  | 534240  | 3.8802          |
| 3.699         | 1.03  | 610560  | 3.8724          |
| 3.6697        | 0.03  | 686880  | 3.8685          |
| 3.6434        | 1.03  | 763200  | 3.8662          |
| 3.6209        | 0.03  | 839520  | 3.8650          |
| 3.5995        | 1.03  | 915840  | 3.8636          |
| 3.5856        | 0.03  | 992160  | 3.8644          |
| 3.5649        | 1.03  | 1068480 | 3.8665          |
| 3.5473        | 0.03  | 1144800 | 3.8657          |
| 3.5272        | 1.03  | 1221120 | 3.8663          |
| 3.5108        | 0.03  | 1297440 | 3.8679          |
| 3.4989        | 1.03  | 1373760 | 3.8709          |
| 3.4833        | 0.03  | 1450080 | 3.8700          |
| 3.4754        | 0.03  | 1526400 | 3.8715          |
| 3.4681        | 0.03  | 1602720 | 3.8735          |
| 3.4584        | 0.03  | 1679040 | 3.8749          |
| 3.4535        | 1.03  | 1755360 | 3.8758          |
| 3.4454        | 0.03  | 1831680 | 3.8766          |
| 3.4314        | 1.03  | 1908000 | 3.8790          |
| 3.4185        | 0.03  | 1984320 | 3.8803          |
| 3.4063        | 1.03  | 2060640 | 3.8815          |
| 3.3941        | 0.03  | 2136960 | 3.8821          |
| 3.3885        | 1.03  | 2213280 | 3.8828          |
| 3.376         | 0.03  | 2289600 | 3.8842          |
| 3.3645        | 1.03  | 2365920 | 3.8849          |
| 3.3497        | 0.03  | 2442240 | 3.8856          |
| 3.3365        | 1.03  | 2518560 | 3.8861          |
| 3.3274        | 0.03  | 2594880 | 3.8878          |
| 3.3183        | 0.03  | 2671200 | 3.8866          |
| 3.3131        | 1.03  | 2747520 | 3.8866          |
| 3.3081        | 0.03  | 2823840 | 3.8856          |
| 3.3014        | 1.03  | 2900160 | 3.8849          |
| 3.2993        | 0.03  | 2976480 | 3.8835          |
| 3.2969        | 1.02  | 3052726 | 3.8820          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
