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# Rocketknight1/clip-roberta-coco

This model is a fine-tuned version of [](https://huggingface.co/) on the ydshieh/coco_dataset_script 2017 dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1749
- Validation Loss: 1.6969
- Epoch: 2

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'global_clipnorm': 1.0, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 27738, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.6558     | 1.8089          | 0     |
| 0.3065     | 1.7544          | 1     |
| 0.1749     | 1.6969          | 2     |


### Framework versions

- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2

{"tags": ["generated_from_keras_callback"], "datasets": ["ydshieh/coco_dataset_script"], "model-index": [{"name": "Rocketknight1/clip-roberta-coco", "results": []}]}
transformers tf vision-text-dual-encoder feature-extraction generated_from_keras_callback dataset:ydshieh/coco_dataset_script endpoints_compatible region:us
TAGS
#transformers #tf #vision-text-dual-encoder #feature-extraction #generated_from_keras_callback #dataset-ydshieh/coco_dataset_script #endpoints_compatible #region-us 

Rocketknight1/clip-roberta-coco
===============================


This model is a fine-tuned version of [](URL on the ydshieh/coco\_dataset\_script 2017 dataset.
It achieves the following results on the evaluation set:


* Train Loss: 0.1749
* Validation Loss: 1.6969
* Epoch: 2


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:


* optimizer: {'name': 'AdamWeightDecay', 'global\_clipnorm': 1.0, 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': 27738, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.1}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Datasets 2.9.1.dev0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'global\_clipnorm': 1.0, 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': 27738, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.1}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Datasets 2.9.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #tf #vision-text-dual-encoder #feature-extraction #generated_from_keras_callback #dataset-ydshieh/coco_dataset_script #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'global\_clipnorm': 1.0, 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': 27738, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.1}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Datasets 2.9.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #tf #vision-text-dual-encoder #feature-extraction #generated_from_keras_callback #dataset-ydshieh/coco_dataset_script #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'global\_clipnorm': 1.0, 'learning\_rate': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': 27738, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.1}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.27.0.dev0
* TensorFlow 2.11.0
* Datasets 2.9.1.dev0
* Tokenizers 0.13.2