transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-only-lstm-0
  results: []
---

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# npi-only-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: 3.9716

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7901        | 0.03  | 76320   | 4.7559          |
| 4.504         | 1.03  | 152640  | 4.4747          |
| 4.3606        | 0.03  | 228960  | 4.3405          |
| 4.2698        | 1.03  | 305280  | 4.2576          |
| 4.2099        | 0.03  | 381600  | 4.2008          |
| 4.1617        | 1.03  | 457920  | 4.1598          |
| 4.1238        | 0.03  | 534240  | 4.1281          |
| 4.0951        | 1.03  | 610560  | 4.1041          |
| 4.0667        | 0.03  | 686880  | 4.0848          |
| 4.0409        | 1.03  | 763200  | 4.0688          |
| 4.0202        | 0.03  | 839520  | 4.0563          |
| 4.0008        | 1.03  | 915840  | 4.0450          |
| 3.9836        | 0.03  | 992160  | 4.0350          |
| 3.9693        | 1.03  | 1068480 | 4.0277          |
| 3.9538        | 0.03  | 1144800 | 4.0212          |
| 3.953         | 1.03  | 1221120 | 4.0154          |
| 3.9363        | 0.03  | 1297440 | 4.0106          |
| 3.9281        | 1.03  | 1373760 | 4.0060          |
| 3.9175        | 0.03  | 1450080 | 4.0021          |
| 3.9093        | 1.03  | 1526400 | 3.9987          |
| 3.9051        | 0.03  | 1602720 | 3.9950          |
| 3.9007        | 1.03  | 1679040 | 3.9924          |
| 3.8976        | 0.03  | 1755360 | 3.9900          |
| 3.8936        | 1.03  | 1831680 | 3.9875          |
| 3.8884        | 0.03  | 1908000 | 3.9852          |
| 3.8794        | 1.03  | 1984320 | 3.9837          |
| 3.873         | 0.03  | 2060640 | 3.9819          |
| 3.868         | 1.03  | 2136960 | 3.9806          |
| 3.8618        | 0.03  | 2213280 | 3.9795          |
| 3.856         | 0.03  | 2289600 | 3.9782          |
| 3.852         | 1.03  | 2365920 | 3.9774          |
| 3.8583        | 0.03  | 2442240 | 3.9764          |
| 3.8458        | 1.03  | 2518560 | 3.9755          |
| 3.8454        | 0.03  | 2594880 | 3.9747          |
| 3.8409        | 1.03  | 2671200 | 3.9740          |
| 3.8376        | 0.03  | 2747520 | 3.9735          |
| 3.8394        | 1.03  | 2823840 | 3.9729          |
| 3.8386        | 0.03  | 2900160 | 3.9722          |
| 3.8412        | 1.03  | 2976480 | 3.9719          |
| 3.8417        | 0.02  | 3052726 | 3.9716          |


### Framework versions

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