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adishourya/roco_pg
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README.md
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---
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base_model: google/paligemma-3b-mix-448
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library_name: peft
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license: gemma
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tags:
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- generated_from_trainer
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model-index:
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- name: resultsrocogoogle_paligemma-3b-mix-448__quickrun__0111-165311
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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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# resultsrocogoogle_paligemma-3b-mix-448__quickrun__0111-165311
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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.
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It achieves the following results on the evaluation set:
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- Loss: 3.7518
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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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.509 | 1.0 | 1 | 3.9997 |
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| 1.1011 | 2.0 | 3 | 3.9437 |
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| 2.3622 | 3.0 | 4 | 3.9107 |
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| 1.7492 | 4.0 | 6 | 3.8786 |
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| 0.5772 | 5.0 | 8 | 3.8138 |
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| 2.3454 | 6.0 | 9 | 3.7833 |
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| 0.8544 | 6.4 | 10 | 3.7518 |
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### Framework versions
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- PEFT 0.13.0
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- Transformers 4.45.1
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- Pytorch 2.3.0.post101
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- Datasets 2.19.1
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- Tokenizers 0.20.0
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