---
license: apache-2.0
base_model: GanjinZero/biobart-v2-large
tags:
- generated_from_trainer
model-index:
- name: 20231130_BioBart-Base_10ep_Summ
  results: []
---

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# 20231130_BioBart-Base_10ep_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: 0.7717

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 300  | 0.8193          |
| 1.1071        | 2.0   | 601  | 0.7497          |
| 1.1071        | 3.0   | 901  | 0.7227          |
| 0.6455        | 4.0   | 1202 | 0.7163          |
| 0.5135        | 5.0   | 1502 | 0.7239          |
| 0.5135        | 6.0   | 1803 | 0.7303          |
| 0.4212        | 7.0   | 2103 | 0.7540          |
| 0.4212        | 8.0   | 2404 | 0.7555          |
| 0.3507        | 9.0   | 2704 | 0.7717          |


### Framework versions

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