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

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# pp-mod-subj-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: 4.0221

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7923        | 0.03  | 76319   | 4.8102          |
| 4.5063        | 1.03  | 152638  | 4.5307          |
| 4.365         | 0.03  | 228957  | 4.3961          |
| 4.2747        | 1.03  | 305276  | 4.3126          |
| 4.212         | 0.03  | 381595  | 4.2551          |
| 4.1642        | 1.03  | 457914  | 4.2132          |
| 4.1266        | 0.03  | 534233  | 4.1807          |
| 4.0965        | 1.03  | 610552  | 4.1574          |
| 4.0676        | 0.03  | 686871  | 4.1386          |
| 4.0454        | 1.03  | 763190  | 4.1230          |
| 4.0256        | 0.03  | 839509  | 4.1096          |
| 4.0096        | 0.03  | 915828  | 4.0983          |
| 3.9875        | 1.03  | 992147  | 4.0892          |
| 3.9708        | 0.03  | 1068466 | 4.0805          |
| 3.9619        | 1.03  | 1144785 | 4.0743          |
| 3.9492        | 0.03  | 1221104 | 4.0677          |
| 3.9395        | 1.03  | 1297423 | 4.0635          |
| 3.9333        | 0.03  | 1373743 | 4.0583          |
| 3.9224        | 1.03  | 1450063 | 4.0539          |
| 3.9179        | 0.03  | 1526383 | 4.0510          |
| 3.9137        | 1.03  | 1602703 | 4.0476          |
| 3.9059        | 2.03  | 1679023 | 4.0453          |
| 3.8991        | 0.03  | 1755343 | 4.0420          |
| 3.8915        | 1.03  | 1831663 | 4.0406          |
| 3.8835        | 2.03  | 1907983 | 4.0377          |
| 3.88          | 0.03  | 1984303 | 4.0361          |
| 3.8762        | 1.03  | 2060623 | 4.0347          |
| 3.8699        | 0.03  | 2136943 | 4.0329          |
| 3.8691        | 0.03  | 2213263 | 4.0315          |
| 3.8616        | 1.03  | 2289583 | 4.0305          |
| 3.8593        | 0.03  | 2365903 | 4.0288          |
| 3.8529        | 1.03  | 2442223 | 4.0275          |
| 3.8463        | 0.03  | 2518543 | 4.0265          |
| 3.845         | 1.03  | 2594863 | 4.0255          |
| 3.8398        | 0.03  | 2671183 | 4.0249          |
| 3.8416        | 1.03  | 2747503 | 4.0241          |
| 3.8438        | 2.03  | 2823823 | 4.0235          |
| 3.8409        | 0.03  | 2900143 | 4.0229          |
| 3.8403        | 1.03  | 2976463 | 4.0227          |
| 3.8357        | 2.02  | 3052726 | 4.0221          |


### Framework versions

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