transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: pp-mod-subj2-transformer-4
  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-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: 3.9266

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2297        | 0.03  | 76320   | 4.2433          |
| 4.0275        | 1.03  | 152640  | 4.0750          |
| 3.9187        | 0.03  | 228960  | 4.0013          |
| 3.8499        | 1.03  | 305280  | 3.9602          |
| 3.8009        | 0.03  | 381600  | 3.9359          |
| 3.754         | 1.03  | 457920  | 3.9211          |
| 3.7162        | 0.03  | 534240  | 3.9103          |
| 3.6839        | 1.03  | 610560  | 3.9040          |
| 3.6566        | 0.03  | 686880  | 3.9007          |
| 3.6332        | 1.03  | 763200  | 3.8988          |
| 3.6064        | 0.03  | 839520  | 3.8968          |
| 3.5872        | 1.03  | 915840  | 3.8964          |
| 3.5702        | 0.03  | 992160  | 3.8978          |
| 3.5552        | 1.03  | 1068480 | 3.8977          |
| 3.5343        | 0.03  | 1144800 | 3.9006          |
| 3.5197        | 1.03  | 1221120 | 3.9013          |
| 3.5064        | 0.03  | 1297440 | 3.9038          |
| 3.4941        | 0.03  | 1373760 | 3.9058          |
| 3.481         | 1.03  | 1450080 | 3.9078          |
| 3.4726        | 0.03  | 1526400 | 3.9097          |
| 3.4675        | 1.03  | 1602720 | 3.9105          |
| 3.4502        | 0.03  | 1679040 | 3.9132          |
| 3.4381        | 1.03  | 1755360 | 3.9147          |
| 3.4265        | 0.03  | 1831680 | 3.9167          |
| 3.4144        | 1.03  | 1908000 | 3.9173          |
| 3.4049        | 0.03  | 1984320 | 3.9193          |
| 3.3904        | 0.03  | 2060640 | 3.9211          |
| 3.3792        | 1.03  | 2136960 | 3.9233          |
| 3.3687        | 0.03  | 2213280 | 3.9250          |
| 3.3597        | 1.03  | 2289600 | 3.9263          |
| 3.3466        | 0.03  | 2365920 | 3.9275          |
| 3.3407        | 1.03  | 2442240 | 3.9272          |
| 3.3293        | 0.03  | 2518560 | 3.9300          |
| 3.3238        | 0.03  | 2594880 | 3.9299          |
| 3.3127        | 1.03  | 2671200 | 3.9311          |
| 3.3062        | 0.03  | 2747520 | 3.9313          |
| 3.3036        | 0.03  | 2823840 | 3.9303          |
| 3.2911        | 1.03  | 2900160 | 3.9300          |
| 3.2841        | 0.03  | 2976480 | 3.9290          |
| 3.2768        | 1.02  | 3052726 | 3.9266          |


### Framework versions

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