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-3
  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-3

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: 3.8870

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2578        | 0.03  | 76320   | 4.2202          |
| 4.0491        | 1.03  | 152640  | 4.0493          |
| 3.9403        | 0.03  | 228960  | 3.9755          |
| 3.8657        | 1.03  | 305280  | 3.9338          |
| 3.8138        | 0.03  | 381600  | 3.9092          |
| 3.7726        | 1.03  | 457920  | 3.8934          |
| 3.7408        | 0.03  | 534240  | 3.8821          |
| 3.7154        | 1.03  | 610560  | 3.8751          |
| 3.6843        | 0.03  | 686880  | 3.8707          |
| 3.6646        | 1.03  | 763200  | 3.8680          |
| 3.6408        | 0.03  | 839520  | 3.8652          |
| 3.6168        | 1.03  | 915840  | 3.8642          |
| 3.6004        | 0.03  | 992160  | 3.8643          |
| 3.5813        | 1.03  | 1068480 | 3.8645          |
| 3.5608        | 0.03  | 1144800 | 3.8657          |
| 3.5501        | 1.03  | 1221120 | 3.8673          |
| 3.5339        | 0.03  | 1297440 | 3.8686          |
| 3.5179        | 1.03  | 1373760 | 3.8710          |
| 3.506         | 0.03  | 1450080 | 3.8708          |
| 3.4907        | 1.03  | 1526400 | 3.8727          |
| 3.4841        | 0.03  | 1602720 | 3.8737          |
| 3.4737        | 1.03  | 1679040 | 3.8748          |
| 3.4672        | 0.03  | 1755360 | 3.8765          |
| 3.4616        | 0.03  | 1831680 | 3.8780          |
| 3.4467        | 1.03  | 1908000 | 3.8812          |
| 3.4387        | 0.03  | 1984320 | 3.8807          |
| 3.4288        | 1.03  | 2060640 | 3.8830          |
| 3.4155        | 0.03  | 2136960 | 3.8840          |
| 3.4059        | 1.03  | 2213280 | 3.8846          |
| 3.3956        | 0.03  | 2289600 | 3.8861          |
| 3.3788        | 1.03  | 2365920 | 3.8876          |
| 3.3735        | 0.03  | 2442240 | 3.8885          |
| 3.3616        | 1.03  | 2518560 | 3.8882          |
| 3.3489        | 0.03  | 2594880 | 3.8890          |
| 3.3424        | 1.03  | 2671200 | 3.8898          |
| 3.3314        | 0.03  | 2747520 | 3.8899          |
| 3.326         | 0.03  | 2823840 | 3.8895          |
| 3.3206        | 1.03  | 2900160 | 3.8888          |
| 3.3171        | 0.03  | 2976480 | 3.8880          |
| 3.3144        | 1.02  | 3052726 | 3.8870          |


### Framework versions

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