---
tags:
- generated_from_trainer
model-index:
- name: passive-lstm-0
  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-0

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: 3.9751

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7967        | 0.03  | 76320   | 4.7654          |
| 4.5105        | 1.03  | 152640  | 4.4848          |
| 4.364         | 0.03  | 228960  | 4.3488          |
| 4.2808        | 1.03  | 305280  | 4.2656          |
| 4.2147        | 0.03  | 381600  | 4.2086          |
| 4.1698        | 1.03  | 457920  | 4.1672          |
| 4.1303        | 0.03  | 534240  | 4.1355          |
| 4.0968        | 0.03  | 610560  | 4.1111          |
| 4.0683        | 1.03  | 686880  | 4.0911          |
| 4.0422        | 0.03  | 763200  | 4.0753          |
| 4.0192        | 1.03  | 839520  | 4.0622          |
| 4.0024        | 0.03  | 915840  | 4.0506          |
| 3.9838        | 1.03  | 992160  | 4.0418          |
| 3.9649        | 0.03  | 1068480 | 4.0331          |
| 3.9532        | 1.03  | 1144800 | 4.0262          |
| 3.9473        | 0.03  | 1221120 | 4.0205          |
| 3.9366        | 1.03  | 1297440 | 4.0154          |
| 3.9278        | 0.03  | 1373760 | 4.0112          |
| 3.9154        | 1.03  | 1450080 | 4.0068          |
| 3.9157        | 0.03  | 1526400 | 4.0030          |
| 3.91          | 1.03  | 1602720 | 3.9997          |
| 3.9074        | 0.03  | 1679040 | 3.9966          |
| 3.9004        | 0.03  | 1755360 | 3.9936          |
| 3.895         | 1.03  | 1831680 | 3.9921          |
| 3.8859        | 0.03  | 1908000 | 3.9900          |
| 3.8817        | 1.03  | 1984320 | 3.9889          |
| 3.8741        | 0.03  | 2060640 | 3.9870          |
| 3.8677        | 1.03  | 2136960 | 3.9854          |
| 3.8609        | 0.03  | 2213280 | 3.9839          |
| 3.8528        | 1.03  | 2289600 | 3.9827          |
| 3.8486        | 0.03  | 2365920 | 3.9815          |
| 3.8523        | 1.03  | 2442240 | 3.9804          |
| 3.8484        | 0.03  | 2518560 | 3.9794          |
| 3.8468        | 1.03  | 2594880 | 3.9784          |
| 3.8399        | 0.03  | 2671200 | 3.9779          |
| 3.8457        | 0.03  | 2747520 | 3.9771          |
| 3.8448        | 1.03  | 2823840 | 3.9764          |
| 3.8464        | 0.03  | 2900160 | 3.9761          |
| 3.8464        | 1.03  | 2976480 | 3.9755          |
| 3.8418        | 0.02  | 3052726 | 3.9751          |


### Framework versions

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