---
tags:
- generated_from_trainer
model-index:
- name: npi-sent-neg-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-sent-neg-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: 3.9733

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7973        | 0.03  | 76320   | 4.7626          |
| 4.5158        | 1.03  | 152640  | 4.4833          |
| 4.3697        | 0.03  | 228960  | 4.3466          |
| 4.2855        | 1.03  | 305280  | 4.2630          |
| 4.2225        | 0.03  | 381600  | 4.2052          |
| 4.1772        | 1.03  | 457920  | 4.1643          |
| 4.1392        | 0.03  | 534240  | 4.1331          |
| 4.1075        | 1.03  | 610560  | 4.1085          |
| 4.0788        | 0.03  | 686880  | 4.0892          |
| 4.0539        | 1.03  | 763200  | 4.0733          |
| 4.0313        | 0.03  | 839520  | 4.0602          |
| 4.0136        | 1.03  | 915840  | 4.0497          |
| 3.9962        | 0.03  | 992160  | 4.0401          |
| 3.9763        | 1.03  | 1068480 | 4.0325          |
| 3.9668        | 0.03  | 1144800 | 4.0259          |
| 3.9549        | 1.03  | 1221120 | 4.0196          |
| 3.9443        | 0.03  | 1297440 | 4.0140          |
| 3.9349        | 1.03  | 1373760 | 4.0093          |
| 3.924         | 0.03  | 1450080 | 4.0051          |
| 3.9235        | 1.03  | 1526400 | 4.0013          |
| 3.9181        | 0.03  | 1602720 | 3.9981          |
| 3.9167        | 1.03  | 1679040 | 3.9956          |
| 3.9108        | 0.03  | 1755360 | 3.9932          |
| 3.906         | 1.03  | 1831680 | 3.9912          |
| 3.8992        | 0.03  | 1908000 | 3.9892          |
| 3.8911        | 1.03  | 1984320 | 3.9871          |
| 3.8821        | 0.03  | 2060640 | 3.9856          |
| 3.8791        | 1.03  | 2136960 | 3.9839          |
| 3.872         | 0.03  | 2213280 | 3.9821          |
| 3.8634        | 1.03  | 2289600 | 3.9804          |
| 3.8596        | 0.03  | 2365920 | 3.9795          |
| 3.859         | 1.03  | 2442240 | 3.9785          |
| 3.8557        | 0.03  | 2518560 | 3.9776          |
| 3.8529        | 0.03  | 2594880 | 3.9768          |
| 3.8463        | 1.03  | 2671200 | 3.9759          |
| 3.8517        | 0.03  | 2747520 | 3.9753          |
| 3.8505        | 1.03  | 2823840 | 3.9748          |
| 3.8552        | 0.03  | 2900160 | 3.9742          |
| 3.854         | 1.03  | 2976480 | 3.9737          |
| 3.8522        | 0.02  | 3052726 | 3.9733          |


### Framework versions

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