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

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# npi-sent-neg-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: 3.9712

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7935        | 0.03  | 76320   | 4.7599          |
| 4.5123        | 1.03  | 152640  | 4.4801          |
| 4.3681        | 0.03  | 228960  | 4.3453          |
| 4.2854        | 1.03  | 305280  | 4.2617          |
| 4.2246        | 0.03  | 381600  | 4.2046          |
| 4.1788        | 1.03  | 457920  | 4.1634          |
| 4.141         | 0.03  | 534240  | 4.1317          |
| 4.1095        | 1.03  | 610560  | 4.1079          |
| 4.0812        | 0.03  | 686880  | 4.0879          |
| 4.0542        | 1.03  | 763200  | 4.0726          |
| 4.0325        | 0.03  | 839520  | 4.0593          |
| 4.0159        | 1.03  | 915840  | 4.0483          |
| 3.9968        | 0.03  | 992160  | 4.0385          |
| 3.977         | 1.03  | 1068480 | 4.0305          |
| 3.9666        | 0.03  | 1144800 | 4.0233          |
| 3.9566        | 1.03  | 1221120 | 4.0167          |
| 3.9466        | 0.03  | 1297440 | 4.0116          |
| 3.9381        | 1.03  | 1373760 | 4.0071          |
| 3.9246        | 0.03  | 1450080 | 4.0032          |
| 3.9258        | 1.03  | 1526400 | 3.9998          |
| 3.9207        | 0.03  | 1602720 | 3.9964          |
| 3.9174        | 1.03  | 1679040 | 3.9939          |
| 3.9139        | 0.03  | 1755360 | 3.9918          |
| 3.909         | 1.03  | 1831680 | 3.9895          |
| 3.9011        | 0.03  | 1908000 | 3.9873          |
| 3.8908        | 1.03  | 1984320 | 3.9857          |
| 3.8845        | 0.03  | 2060640 | 3.9840          |
| 3.8807        | 1.03  | 2136960 | 3.9822          |
| 3.8746        | 0.03  | 2213280 | 3.9809          |
| 3.8645        | 1.03  | 2289600 | 3.9798          |
| 3.8602        | 0.03  | 2365920 | 3.9777          |
| 3.8618        | 1.03  | 2442240 | 3.9766          |
| 3.8564        | 0.03  | 2518560 | 3.9757          |
| 3.8547        | 1.03  | 2594880 | 3.9747          |
| 3.8478        | 0.03  | 2671200 | 3.9738          |
| 3.8532        | 1.03  | 2747520 | 3.9730          |
| 3.8525        | 0.03  | 2823840 | 3.9725          |
| 3.856         | 1.03  | 2900160 | 3.9718          |
| 3.8575        | 0.03  | 2976480 | 3.9715          |
| 3.8548        | 0.02  | 3052726 | 3.9712          |


### Framework versions

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