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-subj-transformer-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pp-mod-subj-transformer-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: 3.9216

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2284        | 0.03  | 76319   | 4.2464          |
| 4.022         | 0.03  | 152638  | 4.0756          |
| 3.9165        | 0.03  | 228957  | 4.0014          |
| 3.845         | 0.03  | 305276  | 3.9610          |
| 3.7923        | 0.03  | 381595  | 3.9358          |
| 3.7472        | 0.03  | 457914  | 3.9196          |
| 3.7144        | 0.03  | 534233  | 3.9107          |
| 3.6831        | 0.03  | 610552  | 3.9037          |
| 3.6555        | 0.03  | 686871  | 3.8989          |
| 3.6296        | 1.03  | 763190  | 3.8978          |
| 3.6102        | 0.03  | 839510  | 3.8908          |
| 3.5875        | 1.03  | 915830  | 3.8914          |
| 3.5688        | 0.03  | 992150  | 3.8931          |
| 3.5513        | 1.03  | 1068470 | 3.8935          |
| 3.5348        | 0.03  | 1144790 | 3.8949          |
| 3.5189        | 1.03  | 1221110 | 3.8979          |
| 3.5035        | 0.03  | 1297430 | 3.8983          |
| 3.4886        | 1.03  | 1373750 | 3.9014          |
| 3.4778        | 0.03  | 1450070 | 3.9015          |
| 3.4697        | 1.03  | 1526390 | 3.9047          |
| 3.4615        | 0.03  | 1602710 | 3.9072          |
| 3.4463        | 0.03  | 1679030 | 3.9081          |
| 3.4369        | 1.03  | 1755350 | 3.9108          |
| 3.4268        | 0.03  | 1831670 | 3.9115          |
| 3.4106        | 1.03  | 1907990 | 3.9129          |
| 3.4009        | 0.03  | 1984310 | 3.9149          |
| 3.3873        | 1.03  | 2060630 | 3.9166          |
| 3.3776        | 0.03  | 2136950 | 3.9181          |
| 3.3661        | 1.03  | 2213270 | 3.9200          |
| 3.3553        | 0.03  | 2289590 | 3.9216          |
| 3.3454        | 0.03  | 2365910 | 3.9219          |
| 3.3375        | 0.03  | 2442230 | 3.9231          |
| 3.3268        | 0.03  | 2518550 | 3.9243          |
| 3.3174        | 1.03  | 2594870 | 3.9252          |
| 3.3094        | 0.03  | 2671190 | 3.9248          |
| 3.3041        | 1.03  | 2747510 | 3.9247          |
| 3.2986        | 0.03  | 2823830 | 3.9247          |
| 3.2883        | 0.03  | 2900150 | 3.9242          |
| 3.281         | 1.03  | 2976470 | 3.9231          |
| 3.2775        | 0.02  | 3052726 | 3.9216          |


### Framework versions

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