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# 20231207_Step_98_Retrain_Instrn_Bart-Samsun_v1.30

This model is a fine-tuned version of [linydub/bart-large-samsum](https://huggingface.co/linydub/bart-large-samsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4292

## 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-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.8211        | 1.0   | 1201  | 0.3633          |
| 0.301         | 2.0   | 2402  | 0.3271          |
| 0.2527        | 3.0   | 3603  | 0.3320          |
| 0.2061        | 4.0   | 4804  | 0.3400          |
| 0.1533        | 5.0   | 6005  | 0.3610          |
| 0.1602        | 6.0   | 7206  | 0.3814          |
| 0.131         | 7.0   | 8407  | 0.4089          |
| 0.1213        | 8.0   | 9608  | 0.4255          |
| 0.1003        | 9.0   | 10809 | 0.4292          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "linydub/bart-large-samsum", "model-index": [{"name": "20231207_Step_98_Retrain_Instrn_Bart-Samsun_v1.30", "results": []}]}
transformers pytorch bart text2text-generation generated_from_trainer base_model:linydub/bart-large-samsum license:apache-2.0 autotrain_compatible endpoints_compatible region:us