---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-transformer-3
  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-subj2-transformer-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: 3.9229

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2304        | 0.03  | 76320   | 4.2434          |
| 4.0273        | 1.03  | 152640  | 4.0739          |
| 3.9168        | 0.03  | 228960  | 3.9985          |
| 3.8483        | 1.03  | 305280  | 3.9588          |
| 3.799         | 0.03  | 381600  | 3.9349          |
| 3.75          | 0.03  | 457920  | 3.9180          |
| 3.7146        | 1.03  | 534240  | 3.9084          |
| 3.6816        | 0.03  | 610560  | 3.9017          |
| 3.6536        | 1.03  | 686880  | 3.8982          |
| 3.6321        | 0.03  | 763200  | 3.8960          |
| 3.6052        | 1.03  | 839520  | 3.8936          |
| 3.5849        | 0.03  | 915840  | 3.8942          |
| 3.5686        | 1.03  | 992160  | 3.8936          |
| 3.5512        | 0.03  | 1068480 | 3.8955          |
| 3.5337        | 1.03  | 1144800 | 3.8962          |
| 3.5182        | 0.03  | 1221120 | 3.8980          |
| 3.5053        | 1.03  | 1297440 | 3.9001          |
| 3.4935        | 0.03  | 1373760 | 3.9003          |
| 3.4789        | 1.03  | 1450080 | 3.9032          |
| 3.4708        | 0.03  | 1526400 | 3.9033          |
| 3.4644        | 1.03  | 1602720 | 3.9063          |
| 3.4495        | 0.03  | 1679040 | 3.9084          |
| 3.4367        | 1.03  | 1755360 | 3.9119          |
| 3.4234        | 0.03  | 1831680 | 3.9138          |
| 3.4104        | 1.03  | 1908000 | 3.9149          |
| 3.403         | 0.03  | 1984320 | 3.9162          |
| 3.3885        | 1.03  | 2060640 | 3.9171          |
| 3.3782        | 0.03  | 2136960 | 3.9195          |
| 3.3693        | 1.03  | 2213280 | 3.9197          |
| 3.3588        | 0.03  | 2289600 | 3.9216          |
| 3.3474        | 0.03  | 2365920 | 3.9225          |
| 3.3383        | 0.03  | 2442240 | 3.9235          |
| 3.3305        | 1.03  | 2518560 | 3.9250          |
| 3.322         | 0.03  | 2594880 | 3.9253          |
| 3.3136        | 1.03  | 2671200 | 3.9247          |
| 3.3064        | 0.03  | 2747520 | 3.9262          |
| 3.3045        | 0.03  | 2823840 | 3.9255          |
| 3.2906        | 1.03  | 2900160 | 3.9256          |
| 3.2833        | 0.03  | 2976480 | 3.9249          |
| 3.2756        | 1.02  | 3052726 | 3.9229          |


### Framework versions

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