transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-2
  results: []
---

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# existential-there-quantifier-lstm-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: 3.9729

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7913        | 0.03  | 76320   | 4.7542          |
| 4.5039        | 1.03  | 152640  | 4.4751          |
| 4.357         | 0.03  | 228960  | 4.3406          |
| 4.2713        | 1.03  | 305280  | 4.2572          |
| 4.2085        | 0.03  | 381600  | 4.2010          |
| 4.1613        | 1.03  | 457920  | 4.1603          |
| 4.1228        | 0.03  | 534240  | 4.1289          |
| 4.089         | 1.03  | 610560  | 4.1055          |
| 4.0595        | 0.03  | 686880  | 4.0853          |
| 4.0332        | 1.03  | 763200  | 4.0699          |
| 4.0146        | 0.03  | 839520  | 4.0573          |
| 3.9976        | 1.03  | 915840  | 4.0465          |
| 3.9823        | 0.03  | 992160  | 4.0367          |
| 3.9632        | 1.03  | 1068480 | 4.0281          |
| 3.9531        | 0.03  | 1144800 | 4.0213          |
| 3.9436        | 1.03  | 1221120 | 4.0160          |
| 3.9327        | 0.03  | 1297440 | 4.0104          |
| 3.9211        | 0.03  | 1373760 | 4.0062          |
| 3.9104        | 1.03  | 1450080 | 4.0026          |
| 3.9064        | 0.03  | 1526400 | 3.9989          |
| 3.9013        | 1.03  | 1602720 | 3.9960          |
| 3.8972        | 0.03  | 1679040 | 3.9932          |
| 3.892         | 1.03  | 1755360 | 3.9908          |
| 3.885         | 0.03  | 1831680 | 3.9884          |
| 3.876         | 1.03  | 1908000 | 3.9867          |
| 3.8692        | 0.03  | 1984320 | 3.9848          |
| 3.8647        | 1.03  | 2060640 | 3.9833          |
| 3.862         | 0.03  | 2136960 | 3.9816          |
| 3.8582        | 1.03  | 2213280 | 3.9808          |
| 3.8502        | 0.03  | 2289600 | 3.9794          |
| 3.8488        | 1.03  | 2365920 | 3.9786          |
| 3.8459        | 0.03  | 2442240 | 3.9775          |
| 3.8421        | 1.03  | 2518560 | 3.9767          |
| 3.8386        | 0.03  | 2594880 | 3.9759          |
| 3.8348        | 0.03  | 2671200 | 3.9752          |
| 3.8363        | 1.03  | 2747520 | 3.9745          |
| 3.8364        | 0.03  | 2823840 | 3.9742          |
| 3.8368        | 1.03  | 2900160 | 3.9737          |
| 3.8342        | 0.03  | 2976480 | 3.9733          |
| 3.8297        | 1.02  | 3052726 | 3.9729          |


### Framework versions

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