transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-lstm-4
  results: []
---

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# npi-sim-ques-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: 3.9697

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7918        | 0.03  | 76320   | 4.7476          |
| 4.5063        | 1.03  | 152640  | 4.4713          |
| 4.3693        | 0.03  | 228960  | 4.3372          |
| 4.2798        | 1.03  | 305280  | 4.2552          |
| 4.2162        | 0.03  | 381600  | 4.1996          |
| 4.1702        | 1.03  | 457920  | 4.1579          |
| 4.1299        | 0.03  | 534240  | 4.1274          |
| 4.0979        | 1.03  | 610560  | 4.1032          |
| 4.0699        | 0.03  | 686880  | 4.0841          |
| 4.0453        | 1.03  | 763200  | 4.0682          |
| 4.0227        | 0.03  | 839520  | 4.0544          |
| 4.0083        | 1.03  | 915840  | 4.0439          |
| 3.9855        | 0.03  | 992160  | 4.0348          |
| 3.9686        | 1.03  | 1068480 | 4.0269          |
| 3.9569        | 0.03  | 1144800 | 4.0202          |
| 3.9536        | 1.03  | 1221120 | 4.0145          |
| 3.9419        | 0.03  | 1297440 | 4.0091          |
| 3.9296        | 1.03  | 1373760 | 4.0045          |
| 3.9249        | 0.03  | 1450080 | 4.0007          |
| 3.9165        | 1.03  | 1526400 | 3.9972          |
| 3.91          | 0.03  | 1602720 | 3.9940          |
| 3.9061        | 1.03  | 1679040 | 3.9914          |
| 3.9003        | 0.03  | 1755360 | 3.9890          |
| 3.8927        | 1.03  | 1831680 | 3.9870          |
| 3.8857        | 0.03  | 1908000 | 3.9842          |
| 3.8796        | 1.03  | 1984320 | 3.9827          |
| 3.8738        | 0.03  | 2060640 | 3.9813          |
| 3.8713        | 1.03  | 2136960 | 3.9798          |
| 3.8624        | 0.03  | 2213280 | 3.9784          |
| 3.8527        | 0.03  | 2289600 | 3.9773          |
| 3.8497        | 1.03  | 2365920 | 3.9758          |
| 3.8542        | 0.03  | 2442240 | 3.9742          |
| 3.8492        | 0.03  | 2518560 | 3.9731          |
| 3.8441        | 1.03  | 2594880 | 3.9722          |
| 3.845         | 0.03  | 2671200 | 3.9717          |
| 3.8432        | 0.03  | 2747520 | 3.9712          |
| 3.8429        | 1.03  | 2823840 | 3.9707          |
| 3.8432        | 0.03  | 2900160 | 3.9704          |
| 3.8435        | 1.03  | 2976480 | 3.9700          |
| 3.8378        | 0.02  | 3052726 | 3.9697          |


### Framework versions

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