transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-lstm-2
  results: []
---

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# npi-sim-ques-lstm-2

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: 3.9709

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.806         | 0.03  | 76320   | 4.7637          |
| 4.5179        | 1.03  | 152640  | 4.4810          |
| 4.3786        | 0.03  | 228960  | 4.3461          |
| 4.2891        | 1.03  | 305280  | 4.2627          |
| 4.2257        | 0.03  | 381600  | 4.2058          |
| 4.1775        | 1.03  | 457920  | 4.1652          |
| 4.1404        | 0.03  | 534240  | 4.1341          |
| 4.1056        | 1.03  | 610560  | 4.1093          |
| 4.0786        | 0.03  | 686880  | 4.0893          |
| 4.0545        | 1.03  | 763200  | 4.0733          |
| 4.0336        | 0.03  | 839520  | 4.0604          |
| 4.0179        | 1.03  | 915840  | 4.0494          |
| 3.9965        | 0.03  | 992160  | 4.0393          |
| 3.979         | 1.03  | 1068480 | 4.0310          |
| 3.9668        | 0.03  | 1144800 | 4.0236          |
| 3.9616        | 1.03  | 1221120 | 4.0182          |
| 3.9493        | 0.03  | 1297440 | 4.0129          |
| 3.9384        | 1.03  | 1373760 | 4.0078          |
| 3.9327        | 0.03  | 1450080 | 4.0035          |
| 3.924         | 1.03  | 1526400 | 4.0002          |
| 3.9181        | 0.03  | 1602720 | 3.9966          |
| 3.9132        | 1.03  | 1679040 | 3.9935          |
| 3.9076        | 0.03  | 1755360 | 3.9911          |
| 3.9016        | 1.03  | 1831680 | 3.9887          |
| 3.8946        | 0.03  | 1908000 | 3.9864          |
| 3.8885        | 1.03  | 1984320 | 3.9848          |
| 3.8822        | 0.03  | 2060640 | 3.9832          |
| 3.8791        | 0.03  | 2136960 | 3.9816          |
| 3.8702        | 1.03  | 2213280 | 3.9803          |
| 3.8615        | 0.03  | 2289600 | 3.9788          |
| 3.8593        | 0.03  | 2365920 | 3.9775          |
| 3.8616        | 1.03  | 2442240 | 3.9767          |
| 3.8572        | 0.03  | 2518560 | 3.9757          |
| 3.8525        | 1.03  | 2594880 | 3.9745          |
| 3.8549        | 0.03  | 2671200 | 3.9739          |
| 3.8517        | 1.03  | 2747520 | 3.9732          |
| 3.85          | 0.03  | 2823840 | 3.9724          |
| 3.8506        | 1.03  | 2900160 | 3.9718          |
| 3.8519        | 0.03  | 2976480 | 3.9712          |
| 3.8467        | 1.02  | 3052726 | 3.9709          |


### Framework versions

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