transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-4
  results: []
---

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# existential-there-quantifier-lstm-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: 3.9698

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7774        | 0.03  | 76320   | 4.7429          |
| 4.4932        | 1.03  | 152640  | 4.4638          |
| 4.3479        | 0.03  | 228960  | 4.3308          |
| 4.2625        | 1.03  | 305280  | 4.2490          |
| 4.1981        | 0.03  | 381600  | 4.1928          |
| 4.1521        | 1.03  | 457920  | 4.1530          |
| 4.1154        | 0.03  | 534240  | 4.1230          |
| 4.0805        | 1.03  | 610560  | 4.0988          |
| 4.0514        | 0.03  | 686880  | 4.0793          |
| 4.0259        | 1.03  | 763200  | 4.0640          |
| 4.0056        | 0.03  | 839520  | 4.0506          |
| 3.9903        | 1.03  | 915840  | 4.0404          |
| 3.9761        | 0.03  | 992160  | 4.0308          |
| 3.9565        | 1.03  | 1068480 | 4.0234          |
| 3.9472        | 0.03  | 1144800 | 4.0168          |
| 3.9352        | 1.03  | 1221120 | 4.0114          |
| 3.9245        | 0.03  | 1297440 | 4.0061          |
| 3.9137        | 1.03  | 1373760 | 4.0013          |
| 3.9036        | 0.03  | 1450080 | 3.9982          |
| 3.8998        | 0.03  | 1526400 | 3.9949          |
| 3.8957        | 1.03  | 1602720 | 3.9922          |
| 3.891         | 0.03  | 1679040 | 3.9897          |
| 3.8872        | 1.03  | 1755360 | 3.9876          |
| 3.8784        | 0.03  | 1831680 | 3.9853          |
| 3.8704        | 1.03  | 1908000 | 3.9831          |
| 3.8615        | 0.03  | 1984320 | 3.9815          |
| 3.8584        | 0.03  | 2060640 | 3.9799          |
| 3.8554        | 1.03  | 2136960 | 3.9784          |
| 3.8507        | 0.03  | 2213280 | 3.9773          |
| 3.8436        | 0.03  | 2289600 | 3.9763          |
| 3.8417        | 1.03  | 2365920 | 3.9754          |
| 3.8366        | 0.03  | 2442240 | 3.9742          |
| 3.8328        | 1.03  | 2518560 | 3.9736          |
| 3.8293        | 0.03  | 2594880 | 3.9726          |
| 3.8258        | 0.03  | 2671200 | 3.9719          |
| 3.8263        | 0.03  | 2747520 | 3.9714          |
| 3.8265        | 1.03  | 2823840 | 3.9709          |
| 3.8291        | 0.03  | 2900160 | 3.9704          |
| 3.8271        | 1.03  | 2976480 | 3.9701          |
| 3.8234        | 0.02  | 3052726 | 3.9698          |


### Framework versions

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