---
tags:
- generated_from_trainer
model-index:
- name: passive-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. -->

# passive-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: 3.9752

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.786         | 0.03  | 76320   | 4.7548          |
| 4.5038        | 1.03  | 152640  | 4.4770          |
| 4.3578        | 0.03  | 228960  | 4.3425          |
| 4.2754        | 1.03  | 305280  | 4.2601          |
| 4.2103        | 0.03  | 381600  | 4.2042          |
| 4.167         | 1.03  | 457920  | 4.1633          |
| 4.1277        | 0.03  | 534240  | 4.1333          |
| 4.0937        | 1.03  | 610560  | 4.1091          |
| 4.0654        | 0.03  | 686880  | 4.0896          |
| 4.0421        | 0.03  | 763200  | 4.0738          |
| 4.0183        | 1.03  | 839520  | 4.0603          |
| 4.0005        | 0.03  | 915840  | 4.0497          |
| 3.9827        | 1.03  | 992160  | 4.0406          |
| 3.9616        | 0.03  | 1068480 | 4.0328          |
| 3.9518        | 1.03  | 1144800 | 4.0262          |
| 3.9451        | 0.03  | 1221120 | 4.0199          |
| 3.9351        | 1.03  | 1297440 | 4.0155          |
| 3.927         | 0.03  | 1373760 | 4.0110          |
| 3.9139        | 1.03  | 1450080 | 4.0067          |
| 3.9136        | 0.03  | 1526400 | 4.0030          |
| 3.9056        | 1.03  | 1602720 | 4.0003          |
| 3.9037        | 0.03  | 1679040 | 3.9974          |
| 3.8981        | 1.03  | 1755360 | 3.9947          |
| 3.8921        | 0.03  | 1831680 | 3.9926          |
| 3.8817        | 1.03  | 1908000 | 3.9909          |
| 3.8764        | 0.03  | 1984320 | 3.9887          |
| 3.867         | 1.03  | 2060640 | 3.9868          |
| 3.8619        | 0.03  | 2136960 | 3.9857          |
| 3.8544        | 1.03  | 2213280 | 3.9842          |
| 3.8438        | 0.03  | 2289600 | 3.9830          |
| 3.842         | 1.03  | 2365920 | 3.9820          |
| 3.8454        | 0.03  | 2442240 | 3.9809          |
| 3.8413        | 1.03  | 2518560 | 3.9797          |
| 3.8398        | 0.03  | 2594880 | 3.9790          |
| 3.8337        | 1.03  | 2671200 | 3.9779          |
| 3.8391        | 0.03  | 2747520 | 3.9774          |
| 3.8369        | 1.03  | 2823840 | 3.9768          |
| 3.839         | 0.03  | 2900160 | 3.9761          |
| 3.8394        | 1.03  | 2976480 | 3.9755          |
| 3.8356        | 0.02  | 3052726 | 3.9752          |


### Framework versions

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