clip-roberta-coco / README.md
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Training in progress epoch 2
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---
tags:
- generated_from_keras_callback
datasets:
- ydshieh/coco_dataset_script
model-index:
- name: Rocketknight1/clip-roberta-coco
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# 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