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
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# 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: 3.8856

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2526        | 0.03  | 76320   | 4.2151          |
| 4.0455        | 1.03  | 152640  | 4.0461          |
| 3.9381        | 0.03  | 228960  | 3.9721          |
| 3.8628        | 1.03  | 305280  | 3.9311          |
| 3.8124        | 0.03  | 381600  | 3.9065          |
| 3.7715        | 1.03  | 457920  | 3.8904          |
| 3.7381        | 0.03  | 534240  | 3.8783          |
| 3.7124        | 1.03  | 610560  | 3.8721          |
| 3.683         | 0.03  | 686880  | 3.8683          |
| 3.6615        | 1.03  | 763200  | 3.8654          |
| 3.6385        | 0.03  | 839520  | 3.8646          |
| 3.616         | 1.03  | 915840  | 3.8642          |
| 3.5965        | 0.03  | 992160  | 3.8636          |
| 3.578         | 1.03  | 1068480 | 3.8644          |
| 3.5575        | 0.03  | 1144800 | 3.8644          |
| 3.5489        | 1.03  | 1221120 | 3.8660          |
| 3.5313        | 0.03  | 1297440 | 3.8666          |
| 3.5161        | 0.03  | 1373760 | 3.8675          |
| 3.5035        | 1.03  | 1450080 | 3.8687          |
| 3.4905        | 0.03  | 1526400 | 3.8709          |
| 3.4821        | 0.03  | 1602720 | 3.8735          |
| 3.472         | 1.03  | 1679040 | 3.8752          |
| 3.4657        | 0.03  | 1755360 | 3.8762          |
| 3.4571        | 0.03  | 1831680 | 3.8779          |
| 3.4455        | 1.03  | 1908000 | 3.8795          |
| 3.4391        | 0.03  | 1984320 | 3.8816          |
| 3.4253        | 1.03  | 2060640 | 3.8817          |
| 3.4134        | 0.03  | 2136960 | 3.8836          |
| 3.4028        | 1.03  | 2213280 | 3.8853          |
| 3.3929        | 0.03  | 2289600 | 3.8861          |
| 3.3786        | 1.03  | 2365920 | 3.8866          |
| 3.3717        | 0.03  | 2442240 | 3.8879          |
| 3.3586        | 1.03  | 2518560 | 3.8886          |
| 3.3484        | 0.03  | 2594880 | 3.8890          |
| 3.34          | 1.03  | 2671200 | 3.8896          |
| 3.3287        | 0.03  | 2747520 | 3.8888          |
| 3.3257        | 1.03  | 2823840 | 3.8884          |
| 3.3182        | 0.03  | 2900160 | 3.8875          |
| 3.315         | 1.03  | 2976480 | 3.8866          |
| 3.3135        | 0.02  | 3052726 | 3.8856          |


### Framework versions

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