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