transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-lstm-4
  results: []
---

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# pp-mod-subj2-lstm-4

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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7988        | 0.03  | 76320   | 4.8119          |
| 4.5128        | 1.03  | 152640  | 4.5289          |
| 4.3661        | 0.03  | 228960  | 4.3930          |
| 4.2793        | 1.03  | 305280  | 4.3106          |
| 4.2199        | 2.03  | 381600  | 4.2538          |
| 4.1656        | 0.03  | 457920  | 4.2123          |
| 4.1242        | 1.03  | 534240  | 4.1813          |
| 4.0913        | 0.03  | 610560  | 4.1555          |
| 4.0629        | 1.03  | 686880  | 4.1362          |
| 4.0421        | 2.03  | 763200  | 4.1204          |
| 4.0202        | 0.03  | 839520  | 4.1084          |
| 4.0025        | 1.03  | 915840  | 4.0972          |
| 3.989         | 0.03  | 992160  | 4.0882          |
| 3.9751        | 1.03  | 1068480 | 4.0794          |
| 3.9595        | 2.03  | 1144800 | 4.0728          |
| 3.9436        | 0.03  | 1221120 | 4.0676          |
| 3.9344        | 1.03  | 1297440 | 4.0620          |
| 3.9263        | 2.03  | 1373760 | 4.0570          |
| 3.9151        | 0.03  | 1450080 | 4.0538          |
| 3.9114        | 1.03  | 1526400 | 4.0491          |
| 3.9089        | 2.03  | 1602720 | 4.0466          |
| 3.8981        | 0.03  | 1679040 | 4.0438          |
| 3.8904        | 1.03  | 1755360 | 4.0413          |
| 3.8841        | 0.03  | 1831680 | 4.0396          |
| 3.8756        | 1.03  | 1908000 | 4.0376          |
| 3.8743        | 2.03  | 1984320 | 4.0353          |
| 3.8676        | 0.03  | 2060640 | 4.0340          |
| 3.8629        | 1.03  | 2136960 | 4.0330          |
| 3.8599        | 0.03  | 2213280 | 4.0308          |
| 3.856         | 1.03  | 2289600 | 4.0297          |
| 3.8492        | 2.03  | 2365920 | 4.0286          |
| 3.8436        | 0.03  | 2442240 | 4.0276          |
| 3.8417        | 0.03  | 2518560 | 4.0271          |
| 3.8421        | 1.03  | 2594880 | 4.0268          |
| 3.8355        | 0.03  | 2671200 | 4.0259          |
| 3.8387        | 1.03  | 2747520 | 4.0254          |
| 3.8418        | 0.03  | 2823840 | 4.0249          |
| 3.8357        | 1.03  | 2900160 | 4.0245          |
| 3.8343        | 2.03  | 2976480 | 4.0239          |
| 3.8291        | 0.02  | 3052726 | 4.0236          |


### Framework versions

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