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-4
  results: []
---

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# existential-there-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: 3.8637

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2235        | 0.03  | 76320   | 4.1958          |
| 4.0188        | 1.03  | 152640  | 4.0280          |
| 3.91          | 0.03  | 228960  | 3.9539          |
| 3.842         | 1.03  | 305280  | 3.9126          |
| 3.7897        | 0.03  | 381600  | 3.8869          |
| 3.7491        | 1.03  | 457920  | 3.8716          |
| 3.7159        | 0.03  | 534240  | 3.8599          |
| 3.6834        | 1.03  | 610560  | 3.8530          |
| 3.6553        | 0.03  | 686880  | 3.8482          |
| 3.628         | 1.03  | 763200  | 3.8453          |
| 3.605         | 0.03  | 839520  | 3.8447          |
| 3.5866        | 1.03  | 915840  | 3.8442          |
| 3.57          | 0.03  | 992160  | 3.8431          |
| 3.5489        | 1.03  | 1068480 | 3.8447          |
| 3.5349        | 0.03  | 1144800 | 3.8466          |
| 3.5248        | 1.03  | 1221120 | 3.8464          |
| 3.5096        | 0.03  | 1297440 | 3.8480          |
| 3.4935        | 1.03  | 1373760 | 3.8504          |
| 3.4796        | 0.03  | 1450080 | 3.8505          |
| 3.4725        | 1.03  | 1526400 | 3.8529          |
| 3.4618        | 0.03  | 1602720 | 3.8541          |
| 3.4538        | 1.03  | 1679040 | 3.8553          |
| 3.4437        | 0.03  | 1755360 | 3.8561          |
| 3.433         | 1.03  | 1831680 | 3.8574          |
| 3.4159        | 0.03  | 1908000 | 3.8589          |
| 3.4048        | 1.03  | 1984320 | 3.8615          |
| 3.3929        | 0.03  | 2060640 | 3.8618          |
| 3.3857        | 1.03  | 2136960 | 3.8629          |
| 3.3765        | 0.03  | 2213280 | 3.8634          |
| 3.3637        | 0.03  | 2289600 | 3.8657          |
| 3.3528        | 0.03  | 2365920 | 3.8668          |
| 3.3489        | 1.03  | 2442240 | 3.8667          |
| 3.338         | 0.03  | 2518560 | 3.8668          |
| 3.3283        | 1.03  | 2594880 | 3.8668          |
| 3.3179        | 0.03  | 2671200 | 3.8676          |
| 3.3121        | 1.03  | 2747520 | 3.8667          |
| 3.3055        | 0.03  | 2823840 | 3.8658          |
| 3.2992        | 0.03  | 2900160 | 3.8658          |
| 3.2958        | 1.03  | 2976480 | 3.8648          |
| 3.2866        | 0.02  | 3052726 | 3.8637          |


### Framework versions

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