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-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# existential-there-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: 3.8631

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2284        | 0.03  | 76320   | 4.1985          |
| 4.0216        | 1.03  | 152640  | 4.0292          |
| 3.9117        | 0.03  | 228960  | 3.9547          |
| 3.846         | 1.03  | 305280  | 3.9137          |
| 3.7932        | 0.03  | 381600  | 3.8879          |
| 3.7526        | 1.03  | 457920  | 3.8726          |
| 3.7186        | 0.03  | 534240  | 3.8616          |
| 3.6853        | 1.03  | 610560  | 3.8549          |
| 3.6566        | 0.03  | 686880  | 3.8491          |
| 3.6299        | 1.03  | 763200  | 3.8466          |
| 3.6088        | 0.03  | 839520  | 3.8450          |
| 3.5909        | 1.03  | 915840  | 3.8433          |
| 3.5721        | 0.03  | 992160  | 3.8440          |
| 3.5517        | 1.03  | 1068480 | 3.8438          |
| 3.5396        | 0.03  | 1144800 | 3.8448          |
| 3.5253        | 1.03  | 1221120 | 3.8455          |
| 3.5095        | 0.03  | 1297440 | 3.8461          |
| 3.4965        | 0.03  | 1373760 | 3.8489          |
| 3.4797        | 1.03  | 1450080 | 3.8500          |
| 3.4741        | 0.03  | 1526400 | 3.8496          |
| 3.463         | 1.03  | 1602720 | 3.8523          |
| 3.456         | 0.03  | 1679040 | 3.8542          |
| 3.4458        | 1.03  | 1755360 | 3.8550          |
| 3.433         | 0.03  | 1831680 | 3.8559          |
| 3.4181        | 0.03  | 1908000 | 3.8570          |
| 3.4069        | 1.03  | 1984320 | 3.8597          |
| 3.3962        | 0.03  | 2060640 | 3.8610          |
| 3.3886        | 1.03  | 2136960 | 3.8617          |
| 3.3791        | 0.03  | 2213280 | 3.8636          |
| 3.3653        | 1.03  | 2289600 | 3.8646          |
| 3.3589        | 0.03  | 2365920 | 3.8649          |
| 3.3494        | 1.03  | 2442240 | 3.8656          |
| 3.3363        | 0.03  | 2518560 | 3.8670          |
| 3.3258        | 1.03  | 2594880 | 3.8668          |
| 3.3168        | 0.03  | 2671200 | 3.8669          |
| 3.3126        | 1.03  | 2747520 | 3.8667          |
| 3.3062        | 0.03  | 2823840 | 3.8659          |
| 3.3037        | 1.03  | 2900160 | 3.8657          |
| 3.2966        | 0.03  | 2976480 | 3.8640          |
| 3.2869        | 1.02  | 3052726 | 3.8631          |


### Framework versions

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