---
tags:
- generated_from_trainer
model-index:
- name: npi-only-lstm-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# npi-only-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: 3.9736

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8029        | 0.03  | 76320   | 4.7703          |
| 4.5143        | 1.03  | 152640  | 4.4846          |
| 4.3681        | 0.03  | 228960  | 4.3478          |
| 4.278         | 1.03  | 305280  | 4.2635          |
| 4.216         | 0.03  | 381600  | 4.2065          |
| 4.1673        | 1.03  | 457920  | 4.1652          |
| 4.1305        | 0.03  | 534240  | 4.1336          |
| 4.1009        | 1.03  | 610560  | 4.1090          |
| 4.072         | 0.03  | 686880  | 4.0897          |
| 4.0456        | 1.03  | 763200  | 4.0734          |
| 4.0221        | 0.03  | 839520  | 4.0599          |
| 4.004         | 1.03  | 915840  | 4.0494          |
| 3.989         | 0.03  | 992160  | 4.0406          |
| 3.972         | 1.03  | 1068480 | 4.0324          |
| 3.957         | 0.03  | 1144800 | 4.0258          |
| 3.9552        | 1.03  | 1221120 | 4.0200          |
| 3.939         | 0.03  | 1297440 | 4.0145          |
| 3.9295        | 1.03  | 1373760 | 4.0097          |
| 3.92          | 0.03  | 1450080 | 4.0060          |
| 3.9116        | 1.03  | 1526400 | 4.0022          |
| 3.9078        | 0.03  | 1602720 | 3.9989          |
| 3.902         | 0.03  | 1679040 | 3.9949          |
| 3.8983        | 1.03  | 1755360 | 3.9923          |
| 3.8939        | 0.03  | 1831680 | 3.9896          |
| 3.8878        | 1.03  | 1908000 | 3.9879          |
| 3.8797        | 0.03  | 1984320 | 3.9860          |
| 3.8705        | 1.03  | 2060640 | 3.9840          |
| 3.8649        | 0.03  | 2136960 | 3.9826          |
| 3.8623        | 1.03  | 2213280 | 3.9813          |
| 3.8555        | 0.03  | 2289600 | 3.9799          |
| 3.8494        | 1.03  | 2365920 | 3.9790          |
| 3.8561        | 0.03  | 2442240 | 3.9782          |
| 3.8472        | 1.03  | 2518560 | 3.9773          |
| 3.8448        | 0.03  | 2594880 | 3.9766          |
| 3.8419        | 1.03  | 2671200 | 3.9760          |
| 3.8398        | 0.03  | 2747520 | 3.9753          |
| 3.842         | 1.03  | 2823840 | 3.9746          |
| 3.8406        | 0.03  | 2900160 | 3.9742          |
| 3.8414        | 1.03  | 2976480 | 3.9738          |
| 3.8422        | 0.02  | 3052726 | 3.9736          |


### Framework versions

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