metadata
base_model: clip_roberta
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: Chest-X-Ray-Roco-Clip
results: []
Chest-X-Ray-Roco-Clip
This model is a fine-tuned version of clip_roberta on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.3863
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: 4
- eval_batch_size: 4
- seed: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3868 | 0.4619 | 100 | 1.3863 |
| 1.3867 | 0.9238 | 200 | 1.3863 |
| 1.3862 | 1.3857 | 300 | 1.3863 |
| 1.3872 | 1.8476 | 400 | 1.3863 |
| 1.3869 | 2.3095 | 500 | 1.3863 |
| 1.3861 | 2.7714 | 600 | 1.3863 |
| 1.3862 | 3.2333 | 700 | 1.3863 |
| 1.3863 | 3.6952 | 800 | 1.3863 |
| 1.3865 | 4.1570 | 900 | 1.3863 |
| 1.3864 | 4.6189 | 1000 | 1.3863 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1