transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-only-lstm-1
  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-1

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: 3.9692

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7741        | 0.03  | 76320   | 4.7420          |
| 4.4915        | 1.03  | 152640  | 4.4631          |
| 4.3483        | 0.03  | 228960  | 4.3303          |
| 4.2585        | 1.03  | 305280  | 4.2483          |
| 4.1993        | 0.03  | 381600  | 4.1924          |
| 4.1533        | 0.03  | 457920  | 4.1528          |
| 4.1166        | 1.03  | 534240  | 4.1225          |
| 4.0876        | 0.03  | 610560  | 4.0987          |
| 4.0603        | 1.03  | 686880  | 4.0803          |
| 4.0317        | 0.03  | 763200  | 4.0637          |
| 4.0102        | 1.03  | 839520  | 4.0512          |
| 3.9927        | 0.03  | 915840  | 4.0407          |
| 3.9778        | 1.03  | 992160  | 4.0326          |
| 3.9602        | 0.03  | 1068480 | 4.0247          |
| 3.9465        | 1.03  | 1144800 | 4.0175          |
| 3.9422        | 0.03  | 1221120 | 4.0125          |
| 3.9251        | 1.03  | 1297440 | 4.0065          |
| 3.9181        | 0.03  | 1373760 | 4.0027          |
| 3.9096        | 1.03  | 1450080 | 3.9988          |
| 3.901         | 0.03  | 1526400 | 3.9953          |
| 3.897         | 1.03  | 1602720 | 3.9925          |
| 3.8934        | 0.03  | 1679040 | 3.9896          |
| 3.8898        | 1.03  | 1755360 | 3.9873          |
| 3.8861        | 0.03  | 1831680 | 3.9854          |
| 3.8792        | 1.03  | 1908000 | 3.9838          |
| 3.8721        | 0.03  | 1984320 | 3.9818          |
| 3.8633        | 1.03  | 2060640 | 3.9798          |
| 3.8568        | 0.03  | 2136960 | 3.9786          |
| 3.8528        | 1.03  | 2213280 | 3.9773          |
| 3.8456        | 0.03  | 2289600 | 3.9759          |
| 3.8406        | 1.03  | 2365920 | 3.9750          |
| 3.845         | 0.03  | 2442240 | 3.9736          |
| 3.836         | 1.03  | 2518560 | 3.9728          |
| 3.8344        | 0.03  | 2594880 | 3.9720          |
| 3.8308        | 1.03  | 2671200 | 3.9715          |
| 3.8287        | 0.03  | 2747520 | 3.9709          |
| 3.8306        | 1.03  | 2823840 | 3.9704          |
| 3.83          | 0.03  | 2900160 | 3.9699          |
| 3.8331        | 1.03  | 2976480 | 3.9695          |
| 3.8329        | 0.02  | 3052726 | 3.9692          |


### Framework versions

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