---
base_model: VK246/IC_ver6F_coco_swin_gpt2_50B_1e
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
model-index:
- name: IC_ver6G_coco_swin_gpt2_50A_1e
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IC_ver6G_coco_swin_gpt2_50A_1e

This model is a fine-tuned version of [VK246/IC_ver6F_coco_swin_gpt2_50B_1e](https://huggingface.co/VK246/IC_ver6F_coco_swin_gpt2_50B_1e) on the coco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7892
- Cider: 15.3553
- Rouge1: 41.9548
- Rouge2: 16.3636
- Rougel: 38.1268
- Rougelsum: 38.1269
- Bleu-1: 42.7082
- Bleu-2: 24.7427
- Bleu-3: 15.632
- Bleu-4: 10.351
- Gen Len: 11.2806

## 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 | Cider   | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu-1  | Bleu-2  | Bleu-3  | Bleu-4 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:------:|:-------:|
| 0.6462        | 0.34  | 1000 | 0.8195          | 16.4275 | 41.2411 | 15.6826 | 37.4271 | 37.4332   | 42.1612 | 24.0307 | 15.0144 | 9.8204 | 11.2806 |
| 0.6923        | 0.68  | 2000 | 0.7892          | 15.3553 | 41.9548 | 16.3636 | 38.1268 | 38.1269   | 42.7082 | 24.7427 | 15.632  | 10.351 | 11.2806 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3