---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ViT-Bert_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-Bert_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: 0.2334
- Rouge1: 27.4942
- Rouge2: 21.9051
- Rougel: 26.9521
- Rougelsum: 27.0238
- Gen Len: 16.0

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 125  | 0.3533          | 0.0     | 0.0     | 0.0     | 0.0       | 20.0    |
| No log        | 2.0   | 250  | 0.3009          | 7.9737  | 1.5     | 7.7593  | 7.9222    | 16.38   |
| No log        | 3.0   | 375  | 0.2334          | 27.4942 | 21.9051 | 26.9521 | 27.0238   | 16.0    |


### Framework versions

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