---
base_model: Patcas/plbart-works
tags:
- generated_from_trainer
model-index:
- name: work-with-plbart
  results: []
---

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# work-with-plbart

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: 0.7953

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 17   | 0.8711          |
| No log        | 2.0   | 34   | 0.8598          |
| No log        | 3.0   | 51   | 0.8400          |
| No log        | 4.0   | 68   | 0.8216          |
| No log        | 5.0   | 85   | 0.8102          |
| No log        | 6.0   | 102  | 0.8053          |
| No log        | 7.0   | 119  | 0.8000          |
| No log        | 8.0   | 136  | 0.7954          |
| No log        | 9.0   | 153  | 0.7954          |
| No log        | 10.0  | 170  | 0.7953          |


### Framework versions

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