transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: passive-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. -->

# passive-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: 3.9742

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7721        | 0.03  | 76320   | 4.7403          |
| 4.4938        | 1.03  | 152640  | 4.4686          |
| 4.3497        | 0.03  | 228960  | 4.3374          |
| 4.2699        | 0.03  | 305280  | 4.2560          |
| 4.2042        | 1.03  | 381600  | 4.2005          |
| 4.1597        | 0.03  | 457920  | 4.1602          |
| 4.1213        | 0.03  | 534240  | 4.1284          |
| 4.0881        | 1.03  | 610560  | 4.1051          |
| 4.058         | 0.03  | 686880  | 4.0860          |
| 4.0344        | 1.03  | 763200  | 4.0706          |
| 4.0105        | 0.03  | 839520  | 4.0573          |
| 3.9935        | 1.03  | 915840  | 4.0466          |
| 3.9739        | 0.03  | 992160  | 4.0379          |
| 3.9532        | 1.03  | 1068480 | 4.0302          |
| 3.9432        | 0.03  | 1144800 | 4.0231          |
| 3.939         | 1.03  | 1221120 | 4.0177          |
| 3.9282        | 0.03  | 1297440 | 4.0131          |
| 3.9195        | 1.03  | 1373760 | 4.0090          |
| 3.9069        | 0.03  | 1450080 | 4.0045          |
| 3.9075        | 1.03  | 1526400 | 4.0009          |
| 3.8977        | 0.03  | 1602720 | 3.9981          |
| 3.8977        | 1.03  | 1679040 | 3.9952          |
| 3.892         | 0.03  | 1755360 | 3.9930          |
| 3.8848        | 1.03  | 1831680 | 3.9905          |
| 3.8757        | 0.03  | 1908000 | 3.9878          |
| 3.8689        | 1.03  | 1984320 | 3.9858          |
| 3.8612        | 0.03  | 2060640 | 3.9842          |
| 3.8576        | 1.03  | 2136960 | 3.9836          |
| 3.8501        | 0.03  | 2213280 | 3.9823          |
| 3.8404        | 1.03  | 2289600 | 3.9811          |
| 3.8371        | 0.03  | 2365920 | 3.9803          |
| 3.8437        | 1.03  | 2442240 | 3.9792          |
| 3.8388        | 0.03  | 2518560 | 3.9781          |
| 3.8353        | 0.03  | 2594880 | 3.9776          |
| 3.8294        | 0.03  | 2671200 | 3.9766          |
| 3.8363        | 1.03  | 2747520 | 3.9760          |
| 3.8327        | 0.03  | 2823840 | 3.9755          |
| 3.8355        | 0.03  | 2900160 | 3.9750          |
| 3.8333        | 1.03  | 2976480 | 3.9745          |
| 3.8312        | 0.02  | 3052726 | 3.9742          |


### Framework versions

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