---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj-transformer-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# pp-mod-subj-transformer-0

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: 3.9272

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2225        | 0.03  | 76319   | 4.2389          |
| 4.0185        | 0.03  | 152638  | 4.0713          |
| 3.9131        | 0.03  | 228957  | 3.9978          |
| 3.8409        | 0.03  | 305276  | 3.9590          |
| 3.788         | 0.03  | 381595  | 3.9349          |
| 3.7444        | 0.03  | 457914  | 3.9197          |
| 3.711         | 0.03  | 534233  | 3.9116          |
| 3.6829        | 0.03  | 610552  | 3.9048          |
| 3.6541        | 0.03  | 686871  | 3.9011          |
| 3.63          | 0.03  | 763190  | 3.8989          |
| 3.6103        | 1.03  | 839509  | 3.8982          |
| 3.5887        | 0.03  | 915829  | 3.8914          |
| 3.569         | 1.03  | 992149  | 3.8933          |
| 3.552         | 0.03  | 1068469 | 3.8944          |
| 3.535         | 1.03  | 1144789 | 3.8962          |
| 3.5188        | 0.03  | 1221109 | 3.8980          |
| 3.5028        | 1.03  | 1297429 | 3.9003          |
| 3.4894        | 0.03  | 1373749 | 3.9013          |
| 3.4769        | 1.03  | 1450069 | 3.9045          |
| 3.4689        | 0.03  | 1526389 | 3.9050          |
| 3.4588        | 0.03  | 1602709 | 3.9080          |
| 3.4454        | 1.03  | 1679029 | 3.9094          |
| 3.4345        | 0.03  | 1755349 | 3.9128          |
| 3.4239        | 0.03  | 1831669 | 3.9132          |
| 3.4088        | 1.03  | 1907989 | 3.9164          |
| 3.3977        | 0.03  | 1984309 | 3.9182          |
| 3.3864        | 1.03  | 2060629 | 3.9208          |
| 3.376         | 0.03  | 2136949 | 3.9220          |
| 3.3652        | 1.03  | 2213269 | 3.9247          |
| 3.3569        | 0.03  | 2289589 | 3.9260          |
| 3.3449        | 1.03  | 2365909 | 3.9271          |
| 3.3353        | 0.03  | 2442229 | 3.9283          |
| 3.3245        | 1.03  | 2518549 | 3.9300          |
| 3.3165        | 0.03  | 2594869 | 3.9304          |
| 3.3094        | 0.03  | 2671189 | 3.9313          |
| 3.3041        | 1.03  | 2747509 | 3.9317          |
| 3.2966        | 0.03  | 2823829 | 3.9312          |
| 3.2876        | 0.03  | 2900149 | 3.9298          |
| 3.2797        | 1.03  | 2976469 | 3.9291          |
| 3.2741        | 0.02  | 3052726 | 3.9272          |


### Framework versions

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