transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj-lstm-2
  results: []
---

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# pp-mod-subj-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: 4.0209

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7854        | 0.03  | 76319   | 4.8028          |
| 4.4977        | 1.03  | 152638  | 4.5223          |
| 4.3587        | 0.03  | 228957  | 4.3889          |
| 4.2696        | 1.03  | 305276  | 4.3065          |
| 4.207         | 0.03  | 381595  | 4.2505          |
| 4.1571        | 1.03  | 457914  | 4.2098          |
| 4.121         | 0.03  | 534233  | 4.1792          |
| 4.0895        | 1.03  | 610552  | 4.1544          |
| 4.0629        | 0.03  | 686871  | 4.1348          |
| 4.0412        | 1.03  | 763190  | 4.1193          |
| 4.0214        | 0.03  | 839509  | 4.1071          |
| 4.0024        | 1.03  | 915828  | 4.0951          |
| 3.9814        | 0.03  | 992147  | 4.0868          |
| 3.9685        | 1.03  | 1068466 | 4.0790          |
| 3.9564        | 0.03  | 1144785 | 4.0722          |
| 3.9452        | 1.03  | 1221104 | 4.0665          |
| 3.9355        | 0.03  | 1297424 | 4.0602          |
| 3.9281        | 1.03  | 1373744 | 4.0566          |
| 3.917         | 0.03  | 1450064 | 4.0518          |
| 3.9124        | 1.03  | 1526384 | 4.0483          |
| 3.908         | 0.03  | 1602704 | 4.0445          |
| 3.9004        | 0.03  | 1679024 | 4.0419          |
| 3.893         | 1.03  | 1755344 | 4.0391          |
| 3.8861        | 0.03  | 1831664 | 4.0372          |
| 3.8812        | 1.03  | 1907984 | 4.0348          |
| 3.8753        | 0.03  | 1984304 | 4.0337          |
| 3.8713        | 0.03  | 2060624 | 4.0326          |
| 3.8646        | 1.03  | 2136944 | 4.0310          |
| 3.8633        | 0.03  | 2213264 | 4.0295          |
| 3.8573        | 1.03  | 2289584 | 4.0282          |
| 3.853         | 2.03  | 2365904 | 4.0275          |
| 3.8467        | 0.03  | 2442224 | 4.0265          |
| 3.8425        | 1.03  | 2518544 | 4.0254          |
| 3.843         | 2.03  | 2594864 | 4.0244          |
| 3.837         | 0.03  | 2671184 | 4.0234          |
| 3.8397        | 1.03  | 2747504 | 4.0227          |
| 3.8417        | 2.03  | 2823824 | 4.0220          |
| 3.8383        | 0.03  | 2900144 | 4.0215          |
| 3.8356        | 1.03  | 2976464 | 4.0212          |
| 3.8319        | 0.02  | 3052726 | 4.0209          |


### Framework versions

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