transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sent-neg-lstm-3
  results: []
---

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# npi-sent-neg-lstm-3

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: 3.9695

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7787        | 0.03  | 76320   | 4.7454          |
| 4.4985        | 1.03  | 152640  | 4.4658          |
| 4.3554        | 0.03  | 228960  | 4.3321          |
| 4.2729        | 1.03  | 305280  | 4.2502          |
| 4.2103        | 0.03  | 381600  | 4.1941          |
| 4.1659        | 1.03  | 457920  | 4.1536          |
| 4.1289        | 0.03  | 534240  | 4.1227          |
| 4.0969        | 1.03  | 610560  | 4.0994          |
| 4.0686        | 0.03  | 686880  | 4.0806          |
| 4.042         | 1.03  | 763200  | 4.0645          |
| 4.0214        | 0.03  | 839520  | 4.0523          |
| 4.0052        | 1.03  | 915840  | 4.0417          |
| 3.988         | 0.03  | 992160  | 4.0327          |
| 3.9675        | 1.03  | 1068480 | 4.0249          |
| 3.9565        | 0.03  | 1144800 | 4.0184          |
| 3.947         | 1.03  | 1221120 | 4.0131          |
| 3.9356        | 0.03  | 1297440 | 4.0083          |
| 3.9268        | 1.03  | 1373760 | 4.0033          |
| 3.9145        | 0.03  | 1450080 | 3.9987          |
| 3.9159        | 1.03  | 1526400 | 3.9962          |
| 3.9097        | 0.03  | 1602720 | 3.9930          |
| 3.9062        | 0.03  | 1679040 | 3.9900          |
| 3.903         | 1.03  | 1755360 | 3.9876          |
| 3.8964        | 0.03  | 1831680 | 3.9853          |
| 3.8904        | 1.03  | 1908000 | 3.9837          |
| 3.8806        | 0.03  | 1984320 | 3.9820          |
| 3.8744        | 1.03  | 2060640 | 3.9805          |
| 3.8708        | 0.03  | 2136960 | 3.9789          |
| 3.8653        | 1.03  | 2213280 | 3.9777          |
| 3.8555        | 0.03  | 2289600 | 3.9765          |
| 3.8522        | 1.03  | 2365920 | 3.9758          |
| 3.8512        | 0.03  | 2442240 | 3.9746          |
| 3.8452        | 1.03  | 2518560 | 3.9737          |
| 3.8453        | 0.03  | 2594880 | 3.9729          |
| 3.8385        | 1.03  | 2671200 | 3.9722          |
| 3.8427        | 0.03  | 2747520 | 3.9714          |
| 3.8428        | 1.03  | 2823840 | 3.9708          |
| 3.8445        | 0.03  | 2900160 | 3.9701          |
| 3.8459        | 1.03  | 2976480 | 3.9698          |
| 3.8442        | 0.02  | 3052726 | 3.9695          |


### Framework versions

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