transformers pytorch bart text2text-generation generated_from_trainer base_model:GanjinZero/biobart-v2-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: GanjinZero/biobart-v2-large
tags:
- generated_from_trainer
model-index:
- name: 20231130_BioBart-Base_5ep_Summ
  results: []
---

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# 20231130_BioBart-Base_5ep_Summ

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: 0.7539

## 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: 1e-05
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8288        | 1.0   | 1201 | 0.7430          |
| 0.6141        | 2.0   | 2402 | 0.7103          |
| 0.5191        | 3.0   | 3603 | 0.7173          |
| 0.4039        | 4.0   | 4804 | 0.7414          |
| 0.341         | 5.0   | 6005 | 0.7539          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.10.1
- Tokenizers 0.14.1
