---
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
- bleu
model-index:
- name: IC_ver1_coco_swin_gpt2_5pc_2e
  results: []
---

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# IC_ver1_coco_swin_gpt2_5pc_2e

This model is a fine-tuned version of [](https://huggingface.co/) on the coco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9700
- Rouge1: 36.317
- Rouge2: 12.0175
- Rougel: 33.7883
- Rougelsum: 33.7342
- Bleu: 6.5392
- Gen Len: 11.2887

## 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
| 1.29          | 0.71  | 200  | 1.0273          | 33.6256 | 10.3076 | 31.0868 | 31.0562   | 5.5088 | 11.2887 |
| 1.0193        | 1.41  | 400  | 0.9700          | 36.317  | 12.0175 | 33.7883 | 33.7342   | 6.5392 | 11.2887 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3