transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-lstm-0
  results: []
---

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# pp-mod-subj2-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: 4.0215

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7865        | 0.03  | 76320   | 4.7973          |
| 4.502         | 1.03  | 152640  | 4.5167          |
| 4.3567        | 0.03  | 228960  | 4.3828          |
| 4.272         | 1.03  | 305280  | 4.3003          |
| 4.2106        | 2.03  | 381600  | 4.2449          |
| 4.1566        | 0.03  | 457920  | 4.2046          |
| 4.118         | 1.03  | 534240  | 4.1734          |
| 4.0851        | 0.03  | 610560  | 4.1498          |
| 4.0563        | 1.03  | 686880  | 4.1309          |
| 4.0367        | 0.03  | 763200  | 4.1159          |
| 4.0134        | 1.03  | 839520  | 4.1037          |
| 3.9977        | 2.03  | 915840  | 4.0930          |
| 3.9827        | 0.03  | 992160  | 4.0838          |
| 3.9706        | 1.03  | 1068480 | 4.0765          |
| 3.9551        | 2.03  | 1144800 | 4.0699          |
| 3.9406        | 0.03  | 1221120 | 4.0643          |
| 3.9305        | 1.03  | 1297440 | 4.0594          |
| 3.9228        | 2.03  | 1373760 | 4.0555          |
| 3.9128        | 0.03  | 1450080 | 4.0514          |
| 3.9095        | 1.03  | 1526400 | 4.0483          |
| 3.9058        | 2.03  | 1602720 | 4.0453          |
| 3.8955        | 0.03  | 1679040 | 4.0415          |
| 3.8886        | 1.03  | 1755360 | 4.0394          |
| 3.8803        | 2.03  | 1831680 | 4.0366          |
| 3.8745        | 0.03  | 1908000 | 4.0354          |
| 3.8719        | 1.03  | 1984320 | 4.0332          |
| 3.8664        | 0.03  | 2060640 | 4.0317          |
| 3.8623        | 1.03  | 2136960 | 4.0308          |
| 3.8597        | 0.03  | 2213280 | 4.0296          |
| 3.8551        | 1.03  | 2289600 | 4.0285          |
| 3.8488        | 0.03  | 2365920 | 4.0273          |
| 3.8429        | 0.03  | 2442240 | 4.0266          |
| 3.8403        | 0.03  | 2518560 | 4.0258          |
| 3.8406        | 1.03  | 2594880 | 4.0251          |
| 3.8341        | 0.03  | 2671200 | 4.0244          |
| 3.8346        | 1.03  | 2747520 | 4.0237          |
| 3.8395        | 0.03  | 2823840 | 4.0231          |
| 3.8338        | 0.03  | 2900160 | 4.0225          |
| 3.8315        | 1.03  | 2976480 | 4.0220          |
| 3.8293        | 0.02  | 3052726 | 4.0215          |


### Framework versions

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