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: 3.8852

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2507        | 0.03  | 76320   | 4.2154          |
| 4.0435        | 0.03  | 152640  | 4.0466          |
| 3.936         | 1.03  | 228960  | 3.9725          |
| 3.8613        | 0.03  | 305280  | 3.9314          |
| 3.8119        | 1.03  | 381600  | 3.9064          |
| 3.7702        | 0.03  | 457920  | 3.8916          |
| 3.7381        | 1.03  | 534240  | 3.8794          |
| 3.7121        | 0.03  | 610560  | 3.8730          |
| 3.6823        | 1.03  | 686880  | 3.8687          |
| 3.6624        | 0.03  | 763200  | 3.8663          |
| 3.6374        | 1.03  | 839520  | 3.8646          |
| 3.6147        | 0.03  | 915840  | 3.8646          |
| 3.5968        | 1.03  | 992160  | 3.8638          |
| 3.579         | 0.03  | 1068480 | 3.8646          |
| 3.5567        | 1.03  | 1144800 | 3.8663          |
| 3.5475        | 0.03  | 1221120 | 3.8671          |
| 3.5315        | 1.03  | 1297440 | 3.8682          |
| 3.5161        | 0.03  | 1373760 | 3.8702          |
| 3.5065        | 1.03  | 1450080 | 3.8708          |
| 3.4897        | 0.03  | 1526400 | 3.8728          |
| 3.4823        | 0.03  | 1602720 | 3.8739          |
| 3.4733        | 1.03  | 1679040 | 3.8754          |
| 3.4682        | 0.03  | 1755360 | 3.8767          |
| 3.4618        | 0.03  | 1831680 | 3.8798          |
| 3.4486        | 0.03  | 1908000 | 3.8796          |
| 3.4409        | 1.03  | 1984320 | 3.8801          |
| 3.4276        | 0.03  | 2060640 | 3.8819          |
| 3.4134        | 1.03  | 2136960 | 3.8837          |
| 3.4049        | 0.03  | 2213280 | 3.8849          |
| 3.3913        | 1.03  | 2289600 | 3.8853          |
| 3.3763        | 0.03  | 2365920 | 3.8865          |
| 3.372         | 1.03  | 2442240 | 3.8874          |
| 3.3612        | 0.03  | 2518560 | 3.8876          |
| 3.3494        | 1.03  | 2594880 | 3.8880          |
| 3.3423        | 0.03  | 2671200 | 3.8876          |
| 3.3315        | 1.03  | 2747520 | 3.8883          |
| 3.3276        | 0.03  | 2823840 | 3.8874          |
| 3.3207        | 1.03  | 2900160 | 3.8872          |
| 3.3176        | 0.03  | 2976480 | 3.8865          |
| 3.3159        | 1.02  | 3052726 | 3.8852          |


### Framework versions

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