---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-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-lstm-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: 3.9908

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8327        | 0.03  | 76320   | 4.7897          |
| 4.5393        | 1.03  | 152640  | 4.5018          |
| 4.394         | 0.03  | 228960  | 4.3650          |
| 4.2992        | 1.03  | 305280  | 4.2801          |
| 4.2379        | 0.03  | 381600  | 4.2230          |
| 4.1886        | 1.03  | 457920  | 4.1810          |
| 4.153         | 0.03  | 534240  | 4.1506          |
| 4.1246        | 1.03  | 610560  | 4.1257          |
| 4.094         | 0.03  | 686880  | 4.1058          |
| 4.0747        | 1.03  | 763200  | 4.0905          |
| 4.0519        | 0.03  | 839520  | 4.0770          |
| 4.0312        | 1.03  | 915840  | 4.0655          |
| 4.017         | 0.03  | 992160  | 4.0566          |
| 3.9986        | 1.03  | 1068480 | 4.0483          |
| 3.981         | 0.03  | 1144800 | 4.0414          |
| 3.9739        | 1.03  | 1221120 | 4.0354          |
| 3.9606        | 0.03  | 1297440 | 4.0303          |
| 3.9499        | 1.03  | 1373760 | 4.0261          |
| 3.9415        | 0.03  | 1450080 | 4.0219          |
| 3.932         | 1.03  | 1526400 | 4.0187          |
| 3.9294        | 0.03  | 1602720 | 4.0159          |
| 3.9226        | 1.03  | 1679040 | 4.0131          |
| 3.9195        | 0.03  | 1755360 | 4.0094          |
| 3.9186        | 1.03  | 1831680 | 4.0071          |
| 3.9098        | 0.03  | 1908000 | 4.0055          |
| 3.9087        | 1.03  | 1984320 | 4.0036          |
| 3.8995        | 0.03  | 2060640 | 4.0021          |
| 3.8935        | 1.03  | 2136960 | 4.0009          |
| 3.8906        | 0.03  | 2213280 | 3.9996          |
| 3.8854        | 1.03  | 2289600 | 3.9981          |
| 3.875         | 0.03  | 2365920 | 3.9971          |
| 3.8766        | 1.03  | 2442240 | 3.9962          |
| 3.8714        | 0.03  | 2518560 | 3.9950          |
| 3.864         | 0.03  | 2594880 | 3.9944          |
| 3.8625        | 1.03  | 2671200 | 3.9934          |
| 3.8576        | 0.03  | 2747520 | 3.9927          |
| 3.8596        | 1.03  | 2823840 | 3.9921          |
| 3.8591        | 0.03  | 2900160 | 3.9915          |
| 3.8616        | 1.03  | 2976480 | 3.9911          |
| 3.8633        | 0.02  | 3052726 | 3.9908          |


### Framework versions

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