transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sent-neg-lstm-1
  results: []
---

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# npi-sent-neg-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: 3.9724

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7981        | 0.03  | 76320   | 4.7641          |
| 4.5144        | 1.03  | 152640  | 4.4830          |
| 4.37          | 0.03  | 228960  | 4.3471          |
| 4.2871        | 1.03  | 305280  | 4.2640          |
| 4.2243        | 0.03  | 381600  | 4.2066          |
| 4.1794        | 0.03  | 457920  | 4.1658          |
| 4.142         | 1.03  | 534240  | 4.1345          |
| 4.1091        | 0.03  | 610560  | 4.1103          |
| 4.0804        | 1.03  | 686880  | 4.0904          |
| 4.0533        | 0.03  | 763200  | 4.0740          |
| 4.029         | 1.03  | 839520  | 4.0605          |
| 4.0156        | 0.03  | 915840  | 4.0497          |
| 3.9955        | 1.03  | 992160  | 4.0397          |
| 3.9746        | 0.03  | 1068480 | 4.0307          |
| 3.9655        | 1.03  | 1144800 | 4.0248          |
| 3.9539        | 0.03  | 1221120 | 4.0186          |
| 3.9435        | 1.03  | 1297440 | 4.0140          |
| 3.9357        | 0.03  | 1373760 | 4.0090          |
| 3.9227        | 1.03  | 1450080 | 4.0046          |
| 3.9239        | 0.03  | 1526400 | 4.0009          |
| 3.9158        | 1.03  | 1602720 | 3.9978          |
| 3.9149        | 0.03  | 1679040 | 3.9947          |
| 3.9098        | 1.03  | 1755360 | 3.9922          |
| 3.9045        | 0.03  | 1831680 | 3.9899          |
| 3.8979        | 1.03  | 1908000 | 3.9885          |
| 3.8895        | 0.03  | 1984320 | 3.9865          |
| 3.8816        | 1.03  | 2060640 | 3.9846          |
| 3.8781        | 0.03  | 2136960 | 3.9832          |
| 3.8719        | 1.03  | 2213280 | 3.9814          |
| 3.8604        | 0.03  | 2289600 | 3.9800          |
| 3.8581        | 1.03  | 2365920 | 3.9787          |
| 3.8556        | 0.03  | 2442240 | 3.9777          |
| 3.8512        | 1.03  | 2518560 | 3.9763          |
| 3.8498        | 0.03  | 2594880 | 3.9755          |
| 3.8439        | 1.03  | 2671200 | 3.9749          |
| 3.8483        | 0.03  | 2747520 | 3.9742          |
| 3.8483        | 1.03  | 2823840 | 3.9736          |
| 3.8515        | 0.03  | 2900160 | 3.9730          |
| 3.851         | 1.03  | 2976480 | 3.9726          |
| 3.8506        | 0.02  | 3052726 | 3.9724          |


### Framework versions

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