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# v4-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: 1.0897

## 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   | 230  | 0.9567          |
| No log        | 2.0   | 460  | 0.8849          |
| 0.9747        | 3.0   | 690  | 0.8750          |
| 0.9747        | 4.0   | 920  | 0.9034          |
| 0.3363        | 5.0   | 1150 | 0.9130          |
| 0.3363        | 6.0   | 1380 | 0.9173          |
| 0.1657        | 7.0   | 1610 | 0.9336          |
| 0.1657        | 8.0   | 1840 | 0.9556          |
| 0.0957        | 9.0   | 2070 | 0.9811          |
| 0.0957        | 10.0  | 2300 | 0.9835          |
| 0.0625        | 11.0  | 2530 | 0.9950          |
| 0.0625        | 12.0  | 2760 | 0.9918          |
| 0.0625        | 13.0  | 2990 | 1.0242          |
| 0.0429        | 14.0  | 3220 | 1.0211          |
| 0.0429        | 15.0  | 3450 | 1.0181          |
| 0.0317        | 16.0  | 3680 | 1.0250          |
| 0.0317        | 17.0  | 3910 | 1.0389          |
| 0.0244        | 18.0  | 4140 | 1.0467          |
| 0.0244        | 19.0  | 4370 | 1.0638          |
| 0.0192        | 20.0  | 4600 | 1.0697          |
| 0.0192        | 21.0  | 4830 | 1.0614          |
| 0.0124        | 22.0  | 5060 | 1.0723          |
| 0.0124        | 23.0  | 5290 | 1.0754          |
| 0.0122        | 24.0  | 5520 | 1.0809          |
| 0.0122        | 25.0  | 5750 | 1.0854          |
| 0.0122        | 26.0  | 5980 | 1.0937          |
| 0.0085        | 27.0  | 6210 | 1.0886          |
| 0.0085        | 28.0  | 6440 | 1.0892          |
| 0.0072        | 29.0  | 6670 | 1.0896          |
| 0.0072        | 30.0  | 6900 | 1.0897          |


### Framework versions

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

{"tags": ["generated_from_trainer"], "base_model": "Patcas/plbart-works", "model-index": [{"name": "v4-my_awesome", "results": []}]}
transformers tensorboard safetensors plbart text2text-generation generated_from_trainer base_model:Patcas/plbart-works autotrain_compatible endpoints_compatible region:us