transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-lstm-2
  results: []
---

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# pp-mod-subj2-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: 4.0244

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7935        | 0.03  | 76320   | 4.8062          |
| 4.5109        | 1.03  | 152640  | 4.5276          |
| 4.364         | 0.03  | 228960  | 4.3927          |
| 4.2769        | 1.03  | 305280  | 4.3088          |
| 4.218         | 2.03  | 381600  | 4.2524          |
| 4.1632        | 0.03  | 457920  | 4.2110          |
| 4.122         | 1.03  | 534240  | 4.1790          |
| 4.0898        | 0.03  | 610560  | 4.1564          |
| 4.061         | 1.03  | 686880  | 4.1367          |
| 4.0412        | 0.03  | 763200  | 4.1209          |
| 4.017         | 1.03  | 839520  | 4.1068          |
| 4.0005        | 2.03  | 915840  | 4.0968          |
| 3.9871        | 0.03  | 992160  | 4.0886          |
| 3.9741        | 1.03  | 1068480 | 4.0804          |
| 3.9581        | 0.03  | 1144800 | 4.0726          |
| 3.9422        | 1.03  | 1221120 | 4.0674          |
| 3.9348        | 2.03  | 1297440 | 4.0626          |
| 3.9277        | 0.03  | 1373760 | 4.0584          |
| 3.9161        | 1.03  | 1450080 | 4.0541          |
| 3.9137        | 2.03  | 1526400 | 4.0513          |
| 3.9114        | 0.03  | 1602720 | 4.0470          |
| 3.9006        | 1.03  | 1679040 | 4.0451          |
| 3.8935        | 2.03  | 1755360 | 4.0424          |
| 3.8884        | 0.03  | 1831680 | 4.0403          |
| 3.8812        | 1.03  | 1908000 | 4.0383          |
| 3.8775        | 0.03  | 1984320 | 4.0364          |
| 3.8699        | 1.03  | 2060640 | 4.0352          |
| 3.8649        | 0.03  | 2136960 | 4.0336          |
| 3.8632        | 1.03  | 2213280 | 4.0325          |
| 3.8588        | 0.03  | 2289600 | 4.0305          |
| 3.8516        | 1.03  | 2365920 | 4.0299          |
| 3.8467        | 2.03  | 2442240 | 4.0294          |
| 3.8464        | 0.03  | 2518560 | 4.0286          |
| 3.8457        | 0.03  | 2594880 | 4.0275          |
| 3.8392        | 1.03  | 2671200 | 4.0269          |
| 3.841         | 0.03  | 2747520 | 4.0259          |
| 3.8415        | 1.03  | 2823840 | 4.0257          |
| 3.8387        | 0.03  | 2900160 | 4.0253          |
| 3.8357        | 1.03  | 2976480 | 4.0248          |
| 3.834         | 2.02  | 3052726 | 4.0244          |


### Framework versions

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