---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ViT-RadBert_Mimic
  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. -->

# ViT-RadBert_Mimic

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0887
- Rouge1: 32.8977
- Rouge2: 21.8288
- Rougel: 32.302
- Rougelsum: 32.7773
- Gen Len: 18.79

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.2426        | 1.0   | 625  | 0.1040          | 27.5188 | 21.3864 | 27.3549 | 27.4573   | 19.258  |
| 0.0954        | 2.0   | 1250 | 0.0891          | 19.0537 | 14.7729 | 18.9993 | 19.0513   | 19.666  |
| 0.0809        | 3.0   | 1875 | 0.0857          | 28.2601 | 21.7315 | 28.0709 | 28.3266   | 19.416  |
| 0.0679        | 4.0   | 2500 | 0.0858          | 30.8838 | 23.7439 | 30.6859 | 30.936    | 18.792  |
| 0.0635        | 5.0   | 3125 | 0.0861          | 32.0132 | 23.2768 | 31.5703 | 31.8913   | 18.796  |
| 0.0596        | 6.0   | 3750 | 0.0880          | 34.1984 | 23.726  | 33.7241 | 34.2367   | 18.59   |
| 0.056         | 7.0   | 4375 | 0.0904          | 34.6439 | 23.7097 | 34.0416 | 34.5722   | 18.91   |
| 0.0471        | 8.0   | 5000 | 0.0858          | 34.0822 | 22.9515 | 33.3727 | 33.8493   | 18.79   |
| 0.0442        | 9.0   | 5625 | 0.0874          | 34.2676 | 23.6976 | 33.7124 | 34.2363   | 18.782  |
| 0.0412        | 10.0  | 6250 | 0.0887          | 32.8977 | 21.8288 | 32.302  | 32.7773   | 18.79   |


### Framework versions

- Transformers 4.37.1
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.1