transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-lstm-1
  results: []
---

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# pp-mod-subj2-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: 4.0244

## 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: 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7926        | 0.03  | 76320   | 4.8046          |
| 4.5099        | 1.03  | 152640  | 4.5258          |
| 4.3635        | 0.03  | 228960  | 4.3901          |
| 4.2771        | 1.03  | 305280  | 4.3076          |
| 4.2173        | 2.03  | 381600  | 4.2516          |
| 4.1646        | 0.03  | 457920  | 4.2105          |
| 4.1238        | 0.03  | 534240  | 4.1808          |
| 4.0899        | 1.03  | 610560  | 4.1562          |
| 4.0628        | 2.03  | 686880  | 4.1370          |
| 4.0419        | 0.03  | 763200  | 4.1217          |
| 4.0191        | 1.03  | 839520  | 4.1092          |
| 4.0021        | 2.03  | 915840  | 4.0979          |
| 3.9884        | 0.03  | 992160  | 4.0885          |
| 3.9743        | 1.03  | 1068480 | 4.0805          |
| 3.9592        | 2.03  | 1144800 | 4.0736          |
| 3.9441        | 0.03  | 1221120 | 4.0688          |
| 3.9355        | 1.03  | 1297440 | 4.0630          |
| 3.9289        | 2.03  | 1373760 | 4.0589          |
| 3.9175        | 0.03  | 1450080 | 4.0547          |
| 3.9141        | 1.03  | 1526400 | 4.0505          |
| 3.9112        | 2.03  | 1602720 | 4.0477          |
| 3.9007        | 0.03  | 1679040 | 4.0438          |
| 3.8939        | 1.03  | 1755360 | 4.0432          |
| 3.8858        | 0.03  | 1831680 | 4.0397          |
| 3.8795        | 1.03  | 1908000 | 4.0380          |
| 3.8776        | 0.03  | 1984320 | 4.0363          |
| 3.8692        | 1.03  | 2060640 | 4.0353          |
| 3.8658        | 0.03  | 2136960 | 4.0338          |
| 3.8636        | 1.03  | 2213280 | 4.0321          |
| 3.8603        | 0.03  | 2289600 | 4.0314          |
| 3.8524        | 1.03  | 2365920 | 4.0305          |
| 3.846         | 2.03  | 2442240 | 4.0297          |
| 3.8448        | 0.03  | 2518560 | 4.0285          |
| 3.8429        | 0.03  | 2594880 | 4.0275          |
| 3.8383        | 1.03  | 2671200 | 4.0271          |
| 3.8414        | 0.03  | 2747520 | 4.0266          |
| 3.8428        | 0.03  | 2823840 | 4.0259          |
| 3.8395        | 0.03  | 2900160 | 4.0253          |
| 3.8371        | 1.03  | 2976480 | 4.0248          |
| 3.8331        | 2.02  | 3052726 | 4.0244          |


### Framework versions

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