transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj-lstm-4
  results: []
---

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# pp-mod-subj-lstm-4

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: 4.0228

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7906        | 0.03  | 76319   | 4.8075          |
| 4.5003        | 1.03  | 152638  | 4.5249          |
| 4.3616        | 0.03  | 228957  | 4.3904          |
| 4.2704        | 1.03  | 305276  | 4.3082          |
| 4.2086        | 0.03  | 381595  | 4.2515          |
| 4.1599        | 1.03  | 457914  | 4.2106          |
| 4.1234        | 0.03  | 534233  | 4.1798          |
| 4.0919        | 1.03  | 610552  | 4.1544          |
| 4.0655        | 0.03  | 686871  | 4.1360          |
| 4.0406        | 1.03  | 763190  | 4.1198          |
| 4.0219        | 0.03  | 839509  | 4.1069          |
| 4.0045        | 1.03  | 915828  | 4.0971          |
| 3.9834        | 0.03  | 992147  | 4.0878          |
| 3.9687        | 0.03  | 1068466 | 4.0806          |
| 3.956         | 1.03  | 1144785 | 4.0738          |
| 3.952         | 0.03  | 1221105 | 4.0657          |
| 3.9407        | 1.03  | 1297425 | 4.0606          |
| 3.9296        | 0.03  | 1373745 | 4.0566          |
| 3.917         | 1.03  | 1450065 | 4.0529          |
| 3.9143        | 2.03  | 1526385 | 4.0498          |
| 3.909         | 0.03  | 1602705 | 4.0460          |
| 3.9           | 1.03  | 1679025 | 4.0440          |
| 3.8943        | 2.03  | 1755345 | 4.0411          |
| 3.888         | 0.03  | 1831665 | 4.0389          |
| 3.8795        | 1.03  | 1907985 | 4.0365          |
| 3.8727        | 2.03  | 1984305 | 4.0343          |
| 3.8701        | 0.03  | 2060625 | 4.0330          |
| 3.8647        | 1.03  | 2136945 | 4.0315          |
| 3.8625        | 2.03  | 2213265 | 4.0301          |
| 3.8572        | 0.03  | 2289585 | 4.0286          |
| 3.8561        | 0.03  | 2365905 | 4.0274          |
| 3.8493        | 1.03  | 2442225 | 4.0270          |
| 3.8418        | 2.03  | 2518545 | 4.0264          |
| 3.8425        | 0.03  | 2594865 | 4.0256          |
| 3.839         | 1.03  | 2671185 | 4.0251          |
| 3.8411        | 2.03  | 2747505 | 4.0247          |
| 3.8431        | 0.03  | 2823825 | 4.0241          |
| 3.8379        | 0.03  | 2900145 | 4.0237          |
| 3.8353        | 1.03  | 2976465 | 4.0233          |
| 3.8331        | 0.02  | 3052726 | 4.0228          |


### Framework versions

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