transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-4
  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-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: 3.9940

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8393        | 0.03  | 76320   | 4.7994          |
| 4.545         | 1.03  | 152640  | 4.5108          |
| 4.4018        | 0.03  | 228960  | 4.3731          |
| 4.307         | 1.03  | 305280  | 4.2876          |
| 4.2466        | 0.03  | 381600  | 4.2296          |
| 4.1988        | 1.03  | 457920  | 4.1882          |
| 4.1617        | 0.03  | 534240  | 4.1563          |
| 4.1348        | 1.03  | 610560  | 4.1320          |
| 4.1044        | 0.03  | 686880  | 4.1122          |
| 4.0846        | 1.03  | 763200  | 4.0961          |
| 4.0615        | 0.03  | 839520  | 4.0829          |
| 4.0398        | 1.03  | 915840  | 4.0709          |
| 4.0253        | 0.03  | 992160  | 4.0623          |
| 4.009         | 1.03  | 1068480 | 4.0539          |
| 3.9899        | 0.03  | 1144800 | 4.0468          |
| 3.9844        | 0.03  | 1221120 | 4.0409          |
| 3.9692        | 1.03  | 1297440 | 4.0347          |
| 3.9603        | 0.03  | 1373760 | 4.0302          |
| 3.9517        | 1.03  | 1450080 | 4.0258          |
| 3.9412        | 0.03  | 1526400 | 4.0220          |
| 3.9384        | 0.03  | 1602720 | 4.0190          |
| 3.933         | 1.03  | 1679040 | 4.0162          |
| 3.9305        | 0.03  | 1755360 | 4.0140          |
| 3.9288        | 0.03  | 1831680 | 4.0118          |
| 3.921         | 1.03  | 1908000 | 4.0093          |
| 3.9189        | 0.03  | 1984320 | 4.0075          |
| 3.9116        | 1.03  | 2060640 | 4.0056          |
| 3.9036        | 0.03  | 2136960 | 4.0040          |
| 3.9001        | 1.03  | 2213280 | 4.0028          |
| 3.8925        | 0.03  | 2289600 | 4.0014          |
| 3.8851        | 1.03  | 2365920 | 4.0003          |
| 3.8851        | 0.03  | 2442240 | 3.9992          |
| 3.8813        | 0.03  | 2518560 | 3.9984          |
| 3.8756        | 0.03  | 2594880 | 3.9975          |
| 3.8726        | 1.03  | 2671200 | 3.9969          |
| 3.8673        | 0.03  | 2747520 | 3.9959          |
| 3.871         | 1.03  | 2823840 | 3.9953          |
| 3.8704        | 0.03  | 2900160 | 3.9947          |
| 3.8717        | 1.03  | 2976480 | 3.9943          |
| 3.8734        | 0.02  | 3052726 | 3.9940          |


### Framework versions

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