---
license: apache-2.0
base_model: GanjinZero/biobart-v2-large
tags:
- generated_from_trainer
model-index:
- name: 20231207_Step_101_Retrain_Augmn_Instrn_BioBart_Xep_Loss_TBD
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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