---
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: 0.0924
- Rouge1: 34.7587
- Rouge2: 25.3644
- Rougel: 34.5531
- Rougelsum: 34.6322
- Gen Len: 13.584

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.0952        | 1.0   | 2500 | 0.0960          | 26.9673 | 20.9727 | 26.939  | 26.9315   | 15.552  |
| 0.0768        | 2.0   | 5000 | 0.0931          | 35.4227 | 25.9227 | 35.1707 | 35.3002   | 13.552  |
| 0.0662        | 3.0   | 7500 | 0.0924          | 34.7587 | 25.3644 | 34.5531 | 34.6322   | 13.584  |


### Framework versions

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