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--- |
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base_model: clip_roberta |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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model-index: |
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- name: Chest-X-Ray-Roco-Clip |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Chest-X-Ray-Roco-Clip |
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This model is a fine-tuned version of [clip_roberta](https://huggingface.co/clip_roberta) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3863 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 5 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3868 | 0.4619 | 100 | 1.3863 | |
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| 1.3867 | 0.9238 | 200 | 1.3863 | |
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| 1.3862 | 1.3857 | 300 | 1.3863 | |
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| 1.3872 | 1.8476 | 400 | 1.3863 | |
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| 1.3869 | 2.3095 | 500 | 1.3863 | |
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| 1.3861 | 2.7714 | 600 | 1.3863 | |
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| 1.3862 | 3.2333 | 700 | 1.3863 | |
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| 1.3863 | 3.6952 | 800 | 1.3863 | |
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| 1.3865 | 4.1570 | 900 | 1.3863 | |
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| 1.3864 | 4.6189 | 1000 | 1.3863 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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