---
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
- bleu
model-index:
- name: IC_ver6b_coco_swin_gpt2_50Bpc_1e
  results: []
---

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# IC_ver6b_coco_swin_gpt2_50Bpc_1e

This model is a fine-tuned version of [VK246/IC_ver6a_coco_swin_gpt2_50Apc_1e](https://huggingface.co/VK246/IC_ver6a_coco_swin_gpt2_50Apc_1e) on the coco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8180
- Rouge1: 41.462
- Rouge2: 16.1291
- Rougel: 37.6518
- Rougelsum: 37.6471
- Bleu: 9.9643
- Gen Len: 11.3063

## 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: 96
- eval_batch_size: 96
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
| 0.8889        | 0.17  | 500  | 0.8659          | 39.7654 | 14.603  | 36.1709 | 36.1638   | 8.8491 | 11.3063 |
| 0.8756        | 0.34  | 1000 | 0.8515          | 40.3678 | 15.2852 | 36.7303 | 36.7188   | 9.3029 | 11.3063 |
| 0.862         | 0.51  | 1500 | 0.8388          | 40.7537 | 15.2635 | 37.0523 | 37.0379   | 9.3057 | 11.3063 |
| 0.8546        | 0.68  | 2000 | 0.8281          | 40.961  | 15.6192 | 37.1627 | 37.1546   | 9.7453 | 11.3063 |
| 0.837         | 0.85  | 2500 | 0.8214          | 41.5703 | 16.1006 | 37.7767 | 37.7654   | 9.9062 | 11.3063 |


### Framework versions

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