---
tags:
- generated_from_trainer
datasets:
- coco
metrics:
- rouge
- bleu
model-index:
- name: IC_ver6c_coco_swin_gpt2_50Apc_1e
  results: []
---

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# IC_ver6c_coco_swin_gpt2_50Apc_1e

This model is a fine-tuned version of [VK246/IC_ver6b_coco_swin_gpt2_50Bpc_1e](https://huggingface.co/VK246/IC_ver6b_coco_swin_gpt2_50Bpc_1e) on the coco dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7946
- Rouge1: 41.9094
- Rouge2: 16.3068
- Rougel: 38.073
- Rougelsum: 38.0746
- Bleu: 10.1966
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|
| 0.8232        | 0.17  | 500  | 0.8331          | 40.454  | 15.1311 | 36.7639 | 36.7714   | 9.2957  | 11.2806 |
| 0.8016        | 0.34  | 1000 | 0.8200          | 40.6374 | 15.5346 | 36.902  | 36.9055   | 9.6894  | 11.2806 |
| 0.8048        | 0.51  | 1500 | 0.8136          | 41.3382 | 15.9333 | 37.6502 | 37.6442   | 9.7743  | 11.2806 |
| 0.8018        | 0.68  | 2000 | 0.8028          | 41.5968 | 16.106  | 37.8326 | 37.836    | 9.9815  | 11.2806 |
| 0.8075        | 0.85  | 2500 | 0.7978          | 41.7017 | 16.1589 | 37.8899 | 37.8954   | 10.1244 | 11.2806 |


### Framework versions

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