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-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-subj-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: 3.9241

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2271        | 0.03  | 76319   | 4.2438          |
| 4.0211        | 0.03  | 152638  | 4.0736          |
| 3.9159        | 0.03  | 228957  | 4.0002          |
| 3.8439        | 0.03  | 305276  | 3.9584          |
| 3.7926        | 0.03  | 381595  | 3.9340          |
| 3.7493        | 0.03  | 457914  | 3.9186          |
| 3.7135        | 0.03  | 534233  | 3.9081          |
| 3.6846        | 0.03  | 610552  | 3.9026          |
| 3.6569        | 0.03  | 686871  | 3.8992          |
| 3.6319        | 1.03  | 763190  | 3.8971          |
| 3.6103        | 0.03  | 839510  | 3.8914          |
| 3.5908        | 1.03  | 915830  | 3.8907          |
| 3.5721        | 0.03  | 992150  | 3.8927          |
| 3.5536        | 1.03  | 1068470 | 3.8928          |
| 3.5359        | 0.03  | 1144790 | 3.8953          |
| 3.5224        | 1.03  | 1221110 | 3.8973          |
| 3.5034        | 0.03  | 1297430 | 3.8986          |
| 3.491         | 0.03  | 1373750 | 3.9005          |
| 3.4799        | 1.03  | 1450070 | 3.9023          |
| 3.4689        | 0.03  | 1526390 | 3.9049          |
| 3.4616        | 1.03  | 1602710 | 3.9054          |
| 3.4481        | 0.03  | 1679030 | 3.9090          |
| 3.4351        | 1.03  | 1755350 | 3.9108          |
| 3.4266        | 0.03  | 1831670 | 3.9123          |
| 3.4112        | 1.03  | 1907990 | 3.9139          |
| 3.4014        | 0.03  | 1984310 | 3.9171          |
| 3.3887        | 1.03  | 2060630 | 3.9187          |
| 3.377         | 0.03  | 2136950 | 3.9198          |
| 3.3682        | 1.03  | 2213270 | 3.9211          |
| 3.3572        | 0.03  | 2289590 | 3.9223          |
| 3.3464        | 1.03  | 2365910 | 3.9236          |
| 3.336         | 0.03  | 2442230 | 3.9254          |
| 3.3236        | 1.03  | 2518550 | 3.9257          |
| 3.3173        | 0.03  | 2594870 | 3.9269          |
| 3.3101        | 0.03  | 2671190 | 3.9266          |
| 3.3025        | 0.03  | 2747510 | 3.9266          |
| 3.2986        | 1.03  | 2823830 | 3.9265          |
| 3.2869        | 0.03  | 2900150 | 3.9270          |
| 3.2817        | 0.03  | 2976470 | 3.9255          |
| 3.2771        | 1.02  | 3052726 | 3.9241          |


### Framework versions

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