adishourya/cxr_pg

README.md

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+---
+base_model: google/paligemma-3b-mix-448
+library_name: peft
+license: gemma
+tags:
+- generated_from_trainer
+model-index:
+- name: resultscxrgoogle_paligemma-3b-mix-4482501-205419
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# resultscxrgoogle_paligemma-3b-mix-4482501-205419
+
+This model is a fine-tuned version of [google/paligemma-3b-mix-448](https://huggingface.co/google/paligemma-3b-mix-448) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3761
+
+## 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: 1e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 96
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3579        | 0.9999 | 3021 | 0.4085          |
+| 0.3216        | 1.9999 | 6042 | 0.3761          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.3.0.post101
+- Datasets 2.19.1
+- Tokenizers 0.20.0