---
base_model: Patcas/plbart-works
tags:
- generated_from_trainer
model-index:
- name: v5-my_awesome
  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. -->

# v5-my_awesome

This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0208

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 264  | 0.9325          |
| 1.0258        | 2.0   | 528  | 0.8500          |
| 1.0258        | 3.0   | 792  | 0.8358          |
| 0.3925        | 4.0   | 1056 | 0.8538          |
| 0.3925        | 5.0   | 1320 | 0.8462          |
| 0.2           | 6.0   | 1584 | 0.9122          |
| 0.2           | 7.0   | 1848 | 0.8987          |
| 0.1246        | 8.0   | 2112 | 0.8859          |
| 0.1246        | 9.0   | 2376 | 0.8990          |
| 0.0834        | 10.0  | 2640 | 0.9022          |
| 0.0834        | 11.0  | 2904 | 0.9212          |
| 0.058         | 12.0  | 3168 | 0.9542          |
| 0.058         | 13.0  | 3432 | 0.9466          |
| 0.0431        | 14.0  | 3696 | 0.9615          |
| 0.0431        | 15.0  | 3960 | 0.9675          |
| 0.0321        | 16.0  | 4224 | 0.9719          |
| 0.0321        | 17.0  | 4488 | 0.9786          |
| 0.0237        | 18.0  | 4752 | 0.9918          |
| 0.0189        | 19.0  | 5016 | 0.9911          |
| 0.0189        | 20.0  | 5280 | 0.9983          |
| 0.0143        | 21.0  | 5544 | 0.9973          |
| 0.0143        | 22.0  | 5808 | 1.0100          |
| 0.0129        | 23.0  | 6072 | 1.0160          |
| 0.0129        | 24.0  | 6336 | 1.0091          |
| 0.0097        | 25.0  | 6600 | 1.0191          |
| 0.0097        | 26.0  | 6864 | 1.0224          |
| 0.0084        | 27.0  | 7128 | 1.0238          |
| 0.0084        | 28.0  | 7392 | 1.0201          |
| 0.0079        | 29.0  | 7656 | 1.0200          |
| 0.0079        | 30.0  | 7920 | 1.0208          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0