transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-0
  results: []
---

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# existential-there-quantifier-lstm-0

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: 3.9732

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7923        | 0.03  | 76320   | 4.7567          |
| 4.5062        | 1.03  | 152640  | 4.4784          |
| 4.3611        | 0.03  | 228960  | 4.3434          |
| 4.2754        | 1.03  | 305280  | 4.2611          |
| 4.2127        | 0.03  | 381600  | 4.2044          |
| 4.1658        | 1.03  | 457920  | 4.1634          |
| 4.1265        | 0.03  | 534240  | 4.1321          |
| 4.093         | 1.03  | 610560  | 4.1083          |
| 4.0641        | 0.03  | 686880  | 4.0882          |
| 4.0398        | 1.03  | 763200  | 4.0726          |
| 4.0182        | 0.03  | 839520  | 4.0593          |
| 4.0039        | 1.03  | 915840  | 4.0482          |
| 3.9882        | 0.03  | 992160  | 4.0383          |
| 3.9712        | 1.03  | 1068480 | 4.0307          |
| 3.9598        | 0.03  | 1144800 | 4.0232          |
| 3.9485        | 1.03  | 1221120 | 4.0177          |
| 3.9388        | 0.03  | 1297440 | 4.0131          |
| 3.9269        | 0.03  | 1373760 | 4.0087          |
| 3.9167        | 1.03  | 1450080 | 4.0042          |
| 3.9134        | 0.03  | 1526400 | 4.0006          |
| 3.9061        | 0.03  | 1602720 | 3.9978          |
| 3.902         | 1.03  | 1679040 | 3.9954          |
| 3.8986        | 0.03  | 1755360 | 3.9927          |
| 3.8901        | 1.03  | 1831680 | 3.9912          |
| 3.8831        | 0.03  | 1908000 | 3.9885          |
| 3.8764        | 0.03  | 1984320 | 3.9866          |
| 3.87          | 0.03  | 2060640 | 3.9843          |
| 3.8692        | 1.03  | 2136960 | 3.9829          |
| 3.8652        | 0.03  | 2213280 | 3.9817          |
| 3.856         | 1.03  | 2289600 | 3.9807          |
| 3.8549        | 0.03  | 2365920 | 3.9794          |
| 3.8515        | 1.03  | 2442240 | 3.9785          |
| 3.8472        | 0.03  | 2518560 | 3.9777          |
| 3.8438        | 0.03  | 2594880 | 3.9771          |
| 3.8379        | 1.03  | 2671200 | 3.9760          |
| 3.841         | 0.03  | 2747520 | 3.9755          |
| 3.8389        | 0.03  | 2823840 | 3.9748          |
| 3.8408        | 1.03  | 2900160 | 3.9742          |
| 3.8396        | 0.03  | 2976480 | 3.9736          |
| 3.8366        | 1.02  | 3052726 | 3.9732          |


### Framework versions

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