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-0
  results: []
---

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# existential-there-quantifier-transformer-0

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: 3.8606

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.226         | 0.03  | 76320   | 4.1970          |
| 4.0196        | 1.03  | 152640  | 4.0272          |
| 3.9103        | 0.03  | 228960  | 3.9532          |
| 3.842         | 1.03  | 305280  | 3.9117          |
| 3.7902        | 0.03  | 381600  | 3.8860          |
| 3.7496        | 1.03  | 457920  | 3.8709          |
| 3.7142        | 0.03  | 534240  | 3.8605          |
| 3.6843        | 1.03  | 610560  | 3.8533          |
| 3.6562        | 0.03  | 686880  | 3.8494          |
| 3.6294        | 1.03  | 763200  | 3.8464          |
| 3.6054        | 0.03  | 839520  | 3.8448          |
| 3.5872        | 1.03  | 915840  | 3.8442          |
| 3.5719        | 0.03  | 992160  | 3.8433          |
| 3.5494        | 1.03  | 1068480 | 3.8438          |
| 3.5361        | 0.03  | 1144800 | 3.8453          |
| 3.5229        | 1.03  | 1221120 | 3.8448          |
| 3.5091        | 0.03  | 1297440 | 3.8469          |
| 3.4962        | 0.03  | 1373760 | 3.8474          |
| 3.4817        | 0.03  | 1450080 | 3.8502          |
| 3.4739        | 1.03  | 1526400 | 3.8508          |
| 3.4641        | 0.03  | 1602720 | 3.8521          |
| 3.455         | 1.03  | 1679040 | 3.8532          |
| 3.4471        | 0.03  | 1755360 | 3.8544          |
| 3.4338        | 1.03  | 1831680 | 3.8554          |
| 3.4207        | 0.03  | 1908000 | 3.8572          |
| 3.4107        | 1.03  | 1984320 | 3.8577          |
| 3.3968        | 0.03  | 2060640 | 3.8601          |
| 3.3889        | 0.03  | 2136960 | 3.8605          |
| 3.3808        | 1.03  | 2213280 | 3.8612          |
| 3.364         | 0.03  | 2289600 | 3.8615          |
| 3.3563        | 1.03  | 2365920 | 3.8631          |
| 3.3506        | 0.03  | 2442240 | 3.8637          |
| 3.3402        | 1.03  | 2518560 | 3.8635          |
| 3.328         | 0.03  | 2594880 | 3.8644          |
| 3.3179        | 0.03  | 2671200 | 3.8645          |
| 3.3121        | 1.03  | 2747520 | 3.8638          |
| 3.3051        | 0.03  | 2823840 | 3.8637          |
| 3.3015        | 1.03  | 2900160 | 3.8633          |
| 3.2959        | 0.03  | 2976480 | 3.8622          |
| 3.2885        | 0.02  | 3052726 | 3.8606          |


### Framework versions

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