transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:GanjinZero/biobart-v2-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: GanjinZero/biobart-v2-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: fine-tuned-2048-inputs-30-epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# fine-tuned-2048-inputs-30-epochs

This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8273
- Rouge1: 0.2909
- Rouge2: 0.117
- Rougel: 0.2667
- Rougelsum: 0.2666
- Gen Len: 15.53

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 151  | 0.7529          | 0.2073 | 0.0784 | 0.1893 | 0.1893    | 13.16   |
| No log        | 2.0   | 302  | 0.7144          | 0.2569 | 0.0828 | 0.2249 | 0.2262    | 13.76   |
| No log        | 3.0   | 453  | 0.6993          | 0.2397 | 0.0787 | 0.2138 | 0.2143    | 14.52   |
| 0.7226        | 4.0   | 604  | 0.6957          | 0.2857 | 0.1014 | 0.2603 | 0.2619    | 14.27   |
| 0.7226        | 5.0   | 755  | 0.7037          | 0.2906 | 0.1168 | 0.2653 | 0.268     | 14.73   |
| 0.7226        | 6.0   | 906  | 0.6971          | 0.2753 | 0.1126 | 0.2512 | 0.2512    | 14.92   |
| 0.4948        | 7.0   | 1057 | 0.7117          | 0.2806 | 0.1139 | 0.2546 | 0.2539    | 14.93   |
| 0.4948        | 8.0   | 1208 | 0.7185          | 0.2931 | 0.1188 | 0.2667 | 0.2685    | 14.45   |
| 0.4948        | 9.0   | 1359 | 0.7250          | 0.3007 | 0.1106 | 0.2736 | 0.2755    | 14.76   |
| 0.368         | 10.0  | 1510 | 0.7343          | 0.3157 | 0.126  | 0.2908 | 0.2904    | 14.67   |
| 0.368         | 11.0  | 1661 | 0.7418          | 0.3045 | 0.1194 | 0.2758 | 0.2757    | 15.23   |
| 0.368         | 12.0  | 1812 | 0.7521          | 0.2981 | 0.113  | 0.2745 | 0.275     | 14.91   |
| 0.368         | 13.0  | 1963 | 0.7556          | 0.2902 | 0.1142 | 0.2695 | 0.2712    | 15.01   |
| 0.2865        | 14.0  | 2114 | 0.7636          | 0.3145 | 0.1238 | 0.2936 | 0.295     | 15.44   |
| 0.2865        | 15.0  | 2265 | 0.7722          | 0.2965 | 0.1102 | 0.2684 | 0.2704    | 14.93   |
| 0.2865        | 16.0  | 2416 | 0.7788          | 0.3015 | 0.1087 | 0.2737 | 0.2751    | 15.29   |
| 0.2221        | 17.0  | 2567 | 0.7834          | 0.2957 | 0.1127 | 0.2691 | 0.2688    | 15.11   |
| 0.2221        | 18.0  | 2718 | 0.7905          | 0.292  | 0.1136 | 0.2595 | 0.2596    | 15.1    |
| 0.2221        | 19.0  | 2869 | 0.7945          | 0.2903 | 0.1027 | 0.2626 | 0.263     | 15.5    |
| 0.1825        | 20.0  | 3020 | 0.8033          | 0.3146 | 0.1226 | 0.2826 | 0.2839    | 15.54   |
| 0.1825        | 21.0  | 3171 | 0.8009          | 0.3027 | 0.114  | 0.2742 | 0.2749    | 15.69   |
| 0.1825        | 22.0  | 3322 | 0.8085          | 0.2951 | 0.1132 | 0.2616 | 0.2624    | 15.37   |
| 0.1825        | 23.0  | 3473 | 0.8120          | 0.3045 | 0.1182 | 0.2733 | 0.2749    | 15.48   |
| 0.1498        | 24.0  | 3624 | 0.8163          | 0.3015 | 0.111  | 0.2723 | 0.2738    | 15.47   |
| 0.1498        | 25.0  | 3775 | 0.8197          | 0.3054 | 0.1144 | 0.2785 | 0.2778    | 15.51   |
| 0.1498        | 26.0  | 3926 | 0.8212          | 0.2987 | 0.1199 | 0.2723 | 0.2709    | 15.59   |
| 0.1329        | 27.0  | 4077 | 0.8230          | 0.3025 | 0.1154 | 0.2751 | 0.2756    | 15.5    |
| 0.1329        | 28.0  | 4228 | 0.8250          | 0.2845 | 0.1108 | 0.2599 | 0.2608    | 15.49   |
| 0.1329        | 29.0  | 4379 | 0.8275          | 0.3002 | 0.1102 | 0.2745 | 0.2753    | 15.57   |
| 0.1226        | 30.0  | 4530 | 0.8273          | 0.2909 | 0.117  | 0.2667 | 0.2666    | 15.53   |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
