---
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: 0.4024
- Rouge1: 12.4067
- Rouge2: 0.0
- Rougel: 12.3221
- Rougelsum: 12.5107
- Gen Len: 20.0

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 25   | 0.4603          | 0.0     | 0.0    | 0.0     | 0.0       | 1.0     |
| No log        | 2.0   | 50   | 0.4319          | 0.0     | 0.0    | 0.0     | 0.0       | 1.0     |
| No log        | 3.0   | 75   | 0.4115          | 0.0     | 0.0    | 0.0     | 0.0       | 20.0    |
| No log        | 4.0   | 100  | 0.4034          | 0.8274  | 0.0    | 0.8     | 0.8274    | 20.0    |
| No log        | 5.0   | 125  | 0.4024          | 12.4067 | 0.0    | 12.3221 | 12.5107   | 20.0    |


### Framework versions

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