---
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
- bleu
model-index:
- name: IC_ver2_coco_swin_gpt2_5pc_1e
  results: []
---

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# IC_ver2_coco_swin_gpt2_5pc_1e

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: 0.9972
- Rouge1: 34.8608
- Rouge2: 10.9857
- Rougel: 32.1905
- Rougelsum: 32.1794
- Bleu: 6.1162
- 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
| 1.4995        | 0.23  | 100  | 1.1227          | 28.4179 | 5.9026  | 26.5601 | 26.5682   | 3.0237 | 11.2887 |
| 1.136         | 0.45  | 200  | 1.0506          | 31.4866 | 8.9504  | 29.1403 | 29.0996   | 4.2965 | 11.2887 |
| 1.0899        | 0.68  | 300  | 1.0203          | 33.9899 | 10.3576 | 31.6646 | 31.6435   | 5.5456 | 11.2887 |
| 1.057         | 0.9   | 400  | 0.9972          | 34.8608 | 10.9857 | 32.1905 | 32.1794   | 6.1162 | 11.2887 |


### Framework versions

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