transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj-lstm-1
  results: []
---

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# pp-mod-subj-lstm-1

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: 4.0224

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7849        | 0.03  | 76319   | 4.8022          |
| 4.5004        | 1.03  | 152638  | 4.5227          |
| 4.3599        | 0.03  | 228957  | 4.3896          |
| 4.2696        | 1.03  | 305276  | 4.3071          |
| 4.2077        | 0.03  | 381595  | 4.2521          |
| 4.159         | 1.03  | 457914  | 4.2115          |
| 4.1216        | 0.03  | 534233  | 4.1809          |
| 4.0933        | 1.03  | 610552  | 4.1563          |
| 4.0655        | 0.03  | 686871  | 4.1367          |
| 4.04          | 0.03  | 763190  | 4.1205          |
| 4.0235        | 1.03  | 839509  | 4.1073          |
| 3.9961        | 0.03  | 915829  | 4.0956          |
| 3.9757        | 1.03  | 992149  | 4.0857          |
| 3.9626        | 2.03  | 1068469 | 4.0777          |
| 3.9615        | 0.03  | 1144789 | 4.0696          |
| 3.95          | 1.03  | 1221109 | 4.0640          |
| 3.9353        | 0.03  | 1297429 | 4.0601          |
| 3.9269        | 1.03  | 1373749 | 4.0546          |
| 3.92          | 0.03  | 1450069 | 4.0511          |
| 3.9153        | 1.03  | 1526389 | 4.0480          |
| 3.9133        | 2.03  | 1602709 | 4.0449          |
| 3.9024        | 0.03  | 1679029 | 4.0422          |
| 3.8976        | 1.03  | 1755349 | 4.0404          |
| 3.893         | 2.03  | 1831669 | 4.0375          |
| 3.8841        | 0.03  | 1907989 | 4.0360          |
| 3.8781        | 1.03  | 1984309 | 4.0336          |
| 3.8733        | 0.03  | 2060629 | 4.0318          |
| 3.8696        | 0.03  | 2136949 | 4.0307          |
| 3.8654        | 1.03  | 2213269 | 4.0296          |
| 3.8611        | 2.03  | 2289589 | 4.0286          |
| 3.8572        | 0.03  | 2365909 | 4.0275          |
| 3.8535        | 0.03  | 2442229 | 4.0267          |
| 3.8476        | 0.03  | 2518549 | 4.0260          |
| 3.8458        | 1.03  | 2594869 | 4.0250          |
| 3.8425        | 0.03  | 2671189 | 4.0245          |
| 3.8468        | 1.03  | 2747509 | 4.0237          |
| 3.847         | 2.03  | 2823829 | 4.0235          |
| 3.8412        | 0.03  | 2900149 | 4.0230          |
| 3.8407        | 1.03  | 2976469 | 4.0225          |
| 3.8391        | 2.02  | 3052726 | 4.0224          |


### Framework versions

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