transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-3
  results: []
---

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# 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: 3.9719

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.787         | 0.03  | 76320   | 4.7500          |
| 4.5023        | 1.03  | 152640  | 4.4726          |
| 4.3574        | 0.03  | 228960  | 4.3385          |
| 4.2706        | 1.03  | 305280  | 4.2563          |
| 4.2067        | 0.03  | 381600  | 4.2004          |
| 4.1598        | 1.03  | 457920  | 4.1593          |
| 4.1222        | 0.03  | 534240  | 4.1286          |
| 4.0884        | 1.03  | 610560  | 4.1044          |
| 4.06          | 0.03  | 686880  | 4.0853          |
| 4.0349        | 1.03  | 763200  | 4.0699          |
| 4.0153        | 0.03  | 839520  | 4.0564          |
| 3.9999        | 1.03  | 915840  | 4.0454          |
| 3.9841        | 0.03  | 992160  | 4.0365          |
| 3.9663        | 1.03  | 1068480 | 4.0289          |
| 3.9576        | 0.03  | 1144800 | 4.0222          |
| 3.9434        | 1.03  | 1221120 | 4.0164          |
| 3.9331        | 0.03  | 1297440 | 4.0107          |
| 3.9224        | 1.03  | 1373760 | 4.0063          |
| 3.9117        | 0.03  | 1450080 | 4.0029          |
| 3.9068        | 1.03  | 1526400 | 3.9988          |
| 3.9024        | 0.03  | 1602720 | 3.9966          |
| 3.8961        | 1.03  | 1679040 | 3.9935          |
| 3.8922        | 0.03  | 1755360 | 3.9913          |
| 3.8832        | 0.03  | 1831680 | 3.9888          |
| 3.876         | 1.03  | 1908000 | 3.9861          |
| 3.8682        | 0.03  | 1984320 | 3.9844          |
| 3.8638        | 1.03  | 2060640 | 3.9831          |
| 3.8615        | 0.03  | 2136960 | 3.9816          |
| 3.8567        | 1.03  | 2213280 | 3.9804          |
| 3.85          | 0.03  | 2289600 | 3.9793          |
| 3.8483        | 1.03  | 2365920 | 3.9779          |
| 3.8467        | 0.03  | 2442240 | 3.9766          |
| 3.8417        | 0.03  | 2518560 | 3.9756          |
| 3.8381        | 1.03  | 2594880 | 3.9749          |
| 3.8329        | 0.03  | 2671200 | 3.9740          |
| 3.8346        | 1.03  | 2747520 | 3.9735          |
| 3.8324        | 0.03  | 2823840 | 3.9729          |
| 3.8333        | 1.03  | 2900160 | 3.9724          |
| 3.8332        | 0.03  | 2976480 | 3.9720          |
| 3.8296        | 1.02  | 3052726 | 3.9719          |


### Framework versions

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