transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-1
  results: []
---

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# existential-there-quantifier-lstm-1

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: 3.9707

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7869        | 0.03  | 76320   | 4.7523          |
| 4.5021        | 1.03  | 152640  | 4.4735          |
| 4.3565        | 0.03  | 228960  | 4.3382          |
| 4.2703        | 1.03  | 305280  | 4.2550          |
| 4.207         | 0.03  | 381600  | 4.1988          |
| 4.1597        | 1.03  | 457920  | 4.1581          |
| 4.1214        | 0.03  | 534240  | 4.1265          |
| 4.087         | 1.03  | 610560  | 4.1024          |
| 4.0579        | 0.03  | 686880  | 4.0837          |
| 4.0324        | 1.03  | 763200  | 4.0681          |
| 4.0127        | 0.03  | 839520  | 4.0550          |
| 3.9967        | 1.03  | 915840  | 4.0433          |
| 3.9826        | 0.03  | 992160  | 4.0345          |
| 3.9648        | 0.03  | 1068480 | 4.0267          |
| 3.9536        | 1.03  | 1144800 | 4.0200          |
| 3.9427        | 0.03  | 1221120 | 4.0140          |
| 3.9321        | 0.03  | 1297440 | 4.0089          |
| 3.9207        | 1.03  | 1373760 | 4.0047          |
| 3.9104        | 0.03  | 1450080 | 4.0004          |
| 3.9059        | 1.03  | 1526400 | 3.9965          |
| 3.9015        | 0.03  | 1602720 | 3.9936          |
| 3.8966        | 1.03  | 1679040 | 3.9912          |
| 3.8904        | 0.03  | 1755360 | 3.9888          |
| 3.8823        | 1.03  | 1831680 | 3.9863          |
| 3.8772        | 0.03  | 1908000 | 3.9844          |
| 3.8681        | 0.03  | 1984320 | 3.9819          |
| 3.8644        | 1.03  | 2060640 | 3.9805          |
| 3.861         | 0.03  | 2136960 | 3.9793          |
| 3.8578        | 1.03  | 2213280 | 3.9780          |
| 3.8507        | 0.03  | 2289600 | 3.9769          |
| 3.8499        | 1.03  | 2365920 | 3.9759          |
| 3.8477        | 0.03  | 2442240 | 3.9749          |
| 3.8431        | 1.03  | 2518560 | 3.9742          |
| 3.8386        | 0.03  | 2594880 | 3.9735          |
| 3.8348        | 0.03  | 2671200 | 3.9727          |
| 3.8369        | 0.03  | 2747520 | 3.9720          |
| 3.8354        | 1.03  | 2823840 | 3.9718          |
| 3.8366        | 0.03  | 2900160 | 3.9713          |
| 3.8366        | 1.03  | 2976480 | 3.9710          |
| 3.8324        | 0.02  | 3052726 | 3.9707          |


### Framework versions

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