End of training

README.md

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+---
+library_name: peft
+license: gemma
+base_model: google/paligemma-3b-ft-docvqa-448
+tags:
+- generated_from_trainer
+model-index:
+- name: pali-gemma-ft-ml-challenge-vamsi
+  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. -->
+
+# pali-gemma-ft-ml-challenge-vamsi
+
+This model is a fine-tuned version of [google/paligemma-3b-ft-docvqa-448](https://huggingface.co/google/paligemma-3b-ft-docvqa-448) on an unknown dataset.
+
+## 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-06
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.45.0
+- Pytorch 2.2.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.20.1