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# swin-aragpt2-image-captioning-v3

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1743
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Meteor: 5.02
- Bleu1: 8.5611
- Bleu2: 2.9273
- Bleu3: 1.1796
- Bleu4: 0.4618

## 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: 1.5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Meteor | Bleu1  | Bleu2  | Bleu3  | Bleu4  |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:------:|:------:|:------:|:------:|
| 1.5775        | 4.71  | 5000  | 1.2386          | 0.0    | 0.0    | 0.0    | 0.0       | 1.91   | 2.6908 | 1.0804 | 0.3964 | 0.1282 |
| 1.2446        | 9.42  | 10000 | 1.1985          | 0.0    | 0.0    | 0.0    | 0.0       | 5.09   | 8.4549 | 2.9556 | 1.2756 | 0.4817 |
| 1.1919        | 14.12 | 15000 | 1.1792          | 0.0    | 0.0    | 0.0    | 0.0       | 5.4    | 9.0722 | 2.9343 | 1.1887 | 0.4748 |
| 1.1669        | 18.83 | 20000 | 1.1743          | 0.0    | 0.0    | 0.0    | 0.0       | 5.02   | 8.5611 | 2.9273 | 1.1796 | 0.4618 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "swin-aragpt2-image-captioning-v3", "results": []}]}
transformers pytorch tensorboard vision-encoder-decoder generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #region-us 

swin-aragpt2-image-captioning-v3
================================


This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1743
* Rouge1: 0.0
* Rouge2: 0.0
* Rougel: 0.0
* Rougelsum: 0.0
* Meteor: 5.02
* Bleu1: 8.5611
* Bleu2: 2.9273
* Bleu3: 1.1796
* Bleu4: 0.4618


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: 1.5e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1.5e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1.5e-06
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3