transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-lstm-3
  results: []
---

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# pp-mod-subj2-lstm-3

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: 4.0236

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7998        | 0.03  | 76320   | 4.8120          |
| 4.5096        | 1.03  | 152640  | 4.5251          |
| 4.3616        | 0.03  | 228960  | 4.3905          |
| 4.2752        | 1.03  | 305280  | 4.3081          |
| 4.2147        | 0.03  | 381600  | 4.2510          |
| 4.1606        | 1.03  | 457920  | 4.2100          |
| 4.121         | 2.03  | 534240  | 4.1801          |
| 4.0874        | 0.03  | 610560  | 4.1569          |
| 4.0594        | 1.03  | 686880  | 4.1368          |
| 4.0388        | 0.03  | 763200  | 4.1216          |
| 4.016         | 1.03  | 839520  | 4.1087          |
| 4.0008        | 2.03  | 915840  | 4.0984          |
| 3.9863        | 0.03  | 992160  | 4.0888          |
| 3.9719        | 1.03  | 1068480 | 4.0808          |
| 3.9568        | 2.03  | 1144800 | 4.0741          |
| 3.9403        | 0.03  | 1221120 | 4.0691          |
| 3.9322        | 1.03  | 1297440 | 4.0641          |
| 3.9259        | 2.03  | 1373760 | 4.0599          |
| 3.9149        | 0.03  | 1450080 | 4.0563          |
| 3.9133        | 1.03  | 1526400 | 4.0523          |
| 3.9093        | 2.03  | 1602720 | 4.0500          |
| 3.8988        | 0.03  | 1679040 | 4.0472          |
| 3.8926        | 1.03  | 1755360 | 4.0448          |
| 3.8832        | 2.03  | 1831680 | 4.0416          |
| 3.8768        | 0.03  | 1908000 | 4.0403          |
| 3.8735        | 1.03  | 1984320 | 4.0384          |
| 3.8645        | 2.03  | 2060640 | 4.0364          |
| 3.8607        | 0.03  | 2136960 | 4.0340          |
| 3.8578        | 1.03  | 2213280 | 4.0319          |
| 3.8554        | 0.03  | 2289600 | 4.0308          |
| 3.848         | 1.03  | 2365920 | 4.0301          |
| 3.843         | 0.03  | 2442240 | 4.0291          |
| 3.8407        | 0.03  | 2518560 | 4.0285          |
| 3.839         | 1.03  | 2594880 | 4.0277          |
| 3.8342        | 0.03  | 2671200 | 4.0266          |
| 3.8362        | 1.03  | 2747520 | 4.0257          |
| 3.8409        | 0.03  | 2823840 | 4.0250          |
| 3.8346        | 1.03  | 2900160 | 4.0244          |
| 3.8314        | 0.03  | 2976480 | 4.0241          |
| 3.8276        | 1.02  | 3052726 | 4.0236          |


### Framework versions

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