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: 3.8657

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2241        | 0.03  | 76320   | 4.1976          |
| 4.0185        | 1.03  | 152640  | 4.0288          |
| 3.9098        | 0.03  | 228960  | 3.9549          |
| 3.8424        | 1.03  | 305280  | 3.9139          |
| 3.7897        | 0.03  | 381600  | 3.8885          |
| 3.7495        | 1.03  | 457920  | 3.8726          |
| 3.7173        | 0.03  | 534240  | 3.8620          |
| 3.6848        | 1.03  | 610560  | 3.8554          |
| 3.656         | 0.03  | 686880  | 3.8512          |
| 3.6306        | 1.03  | 763200  | 3.8476          |
| 3.6077        | 0.03  | 839520  | 3.8454          |
| 3.5894        | 1.03  | 915840  | 3.8462          |
| 3.5702        | 0.03  | 992160  | 3.8450          |
| 3.5528        | 1.03  | 1068480 | 3.8456          |
| 3.537         | 0.03  | 1144800 | 3.8472          |
| 3.5234        | 1.03  | 1221120 | 3.8479          |
| 3.5086        | 0.03  | 1297440 | 3.8489          |
| 3.4939        | 1.03  | 1373760 | 3.8503          |
| 3.481         | 0.03  | 1450080 | 3.8515          |
| 3.4736        | 1.03  | 1526400 | 3.8532          |
| 3.4635        | 0.03  | 1602720 | 3.8531          |
| 3.4539        | 0.03  | 1679040 | 3.8541          |
| 3.4447        | 1.03  | 1755360 | 3.8572          |
| 3.4313        | 0.03  | 1831680 | 3.8587          |
| 3.4182        | 0.03  | 1908000 | 3.8596          |
| 3.4054        | 1.03  | 1984320 | 3.8609          |
| 3.3944        | 0.03  | 2060640 | 3.8624          |
| 3.3856        | 1.03  | 2136960 | 3.8638          |
| 3.3773        | 0.03  | 2213280 | 3.8645          |
| 3.3645        | 1.03  | 2289600 | 3.8652          |
| 3.3559        | 0.03  | 2365920 | 3.8659          |
| 3.3475        | 1.03  | 2442240 | 3.8671          |
| 3.3376        | 0.03  | 2518560 | 3.8674          |
| 3.3262        | 1.03  | 2594880 | 3.8677          |
| 3.316         | 0.03  | 2671200 | 3.8670          |
| 3.3108        | 0.03  | 2747520 | 3.8680          |
| 3.3042        | 1.03  | 2823840 | 3.8675          |
| 3.2997        | 0.03  | 2900160 | 3.8669          |
| 3.2947        | 1.03  | 2976480 | 3.8666          |
| 3.2859        | 0.02  | 3052726 | 3.8657          |


### Framework versions

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