transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# existential-there-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: 3.8839

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2616        | 0.03  | 76320   | 4.2240          |
| 4.0508        | 1.03  | 152640  | 4.0508          |
| 3.9401        | 0.03  | 228960  | 3.9758          |
| 3.865         | 1.03  | 305280  | 3.9339          |
| 3.8135        | 0.03  | 381600  | 3.9073          |
| 3.7714        | 1.03  | 457920  | 3.8895          |
| 3.7388        | 0.03  | 534240  | 3.8792          |
| 3.7131        | 1.03  | 610560  | 3.8728          |
| 3.684         | 0.03  | 686880  | 3.8681          |
| 3.6636        | 1.03  | 763200  | 3.8646          |
| 3.6394        | 0.03  | 839520  | 3.8636          |
| 3.617         | 1.03  | 915840  | 3.8631          |
| 3.5998        | 0.03  | 992160  | 3.8632          |
| 3.5818        | 1.03  | 1068480 | 3.8621          |
| 3.5593        | 0.03  | 1144800 | 3.8644          |
| 3.5503        | 1.03  | 1221120 | 3.8656          |
| 3.5342        | 0.03  | 1297440 | 3.8669          |
| 3.5177        | 0.03  | 1373760 | 3.8686          |
| 3.5074        | 1.03  | 1450080 | 3.8695          |
| 3.4918        | 0.03  | 1526400 | 3.8712          |
| 3.4844        | 1.03  | 1602720 | 3.8720          |
| 3.4726        | 0.03  | 1679040 | 3.8740          |
| 3.4666        | 0.03  | 1755360 | 3.8755          |
| 3.4589        | 0.03  | 1831680 | 3.8769          |
| 3.4472        | 1.03  | 1908000 | 3.8772          |
| 3.4392        | 0.03  | 1984320 | 3.8804          |
| 3.4254        | 1.03  | 2060640 | 3.8811          |
| 3.4139        | 0.03  | 2136960 | 3.8819          |
| 3.4048        | 1.03  | 2213280 | 3.8826          |
| 3.39          | 0.03  | 2289600 | 3.8845          |
| 3.3736        | 0.03  | 2365920 | 3.8846          |
| 3.3731        | 0.03  | 2442240 | 3.8849          |
| 3.3589        | 1.03  | 2518560 | 3.8856          |
| 3.3472        | 0.03  | 2594880 | 3.8856          |
| 3.3408        | 1.03  | 2671200 | 3.8866          |
| 3.3287        | 0.03  | 2747520 | 3.8863          |
| 3.3257        | 0.03  | 2823840 | 3.8861          |
| 3.318         | 0.03  | 2900160 | 3.8854          |
| 3.3149        | 1.03  | 2976480 | 3.8846          |
| 3.3129        | 0.02  | 3052726 | 3.8839          |


### Framework versions

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