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-3
  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-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: 3.9286

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2242        | 0.03  | 76319   | 4.2409          |
| 4.02          | 0.03  | 152638  | 4.0727          |
| 3.9131        | 0.03  | 228957  | 3.9988          |
| 3.8422        | 0.03  | 305276  | 3.9591          |
| 3.7903        | 0.03  | 381595  | 3.9357          |
| 3.7462        | 1.03  | 457914  | 3.9199          |
| 3.7113        | 0.03  | 534233  | 3.9105          |
| 3.6838        | 0.03  | 610552  | 3.9045          |
| 3.6564        | 1.03  | 686871  | 3.8994          |
| 3.63          | 0.03  | 763190  | 3.8980          |
| 3.6086        | 0.03  | 839509  | 3.8966          |
| 3.5902        | 1.03  | 915828  | 3.8978          |
| 3.5709        | 0.03  | 992148  | 3.8916          |
| 3.5523        | 1.03  | 1068468 | 3.8932          |
| 3.5349        | 0.03  | 1144788 | 3.8944          |
| 3.518         | 1.03  | 1221108 | 3.8979          |
| 3.504         | 0.03  | 1297428 | 3.8994          |
| 3.4889        | 1.03  | 1373748 | 3.9016          |
| 3.4773        | 0.03  | 1450068 | 3.9037          |
| 3.4686        | 0.03  | 1526388 | 3.9062          |
| 3.4615        | 1.03  | 1602708 | 3.9090          |
| 3.449         | 0.03  | 1679028 | 3.9111          |
| 3.4364        | 1.03  | 1755348 | 3.9123          |
| 3.4251        | 0.03  | 1831668 | 3.9152          |
| 3.4097        | 1.03  | 1907988 | 3.9180          |
| 3.3987        | 0.03  | 1984308 | 3.9189          |
| 3.3864        | 0.03  | 2060628 | 3.9229          |
| 3.375         | 0.03  | 2136948 | 3.9232          |
| 3.3676        | 1.03  | 2213268 | 3.9248          |
| 3.3576        | 0.03  | 2289588 | 3.9265          |
| 3.3447        | 1.03  | 2365908 | 3.9277          |
| 3.3337        | 0.03  | 2442228 | 3.9294          |
| 3.3247        | 1.03  | 2518548 | 3.9311          |
| 3.3156        | 0.03  | 2594868 | 3.9312          |
| 3.3073        | 0.03  | 2671188 | 3.9313          |
| 3.3017        | 0.03  | 2747508 | 3.9313          |
| 3.2986        | 0.03  | 2823828 | 3.9318          |
| 3.2881        | 1.03  | 2900148 | 3.9311          |
| 3.2809        | 0.03  | 2976468 | 3.9301          |
| 3.2725        | 1.02  | 3052726 | 3.9286          |


### Framework versions

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