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# 20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_TBD

This model is a fine-tuned version of [GanjinZero/biobart-v2-large](https://huggingface.co/GanjinZero/biobart-v2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4449

## 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: 4
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4613        | 1.0   | 901  | 0.3336          |
| 0.1954        | 2.0   | 1802 | 0.3913          |
| 0.079         | 3.0   | 2703 | 0.4449          |


### 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": "GanjinZero/biobart-v2-large", "model-index": [{"name": "20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_TBD", "results": []}]}
transformers pytorch bart text2text-generation generated_from_trainer base_model:GanjinZero/biobart-v2-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us