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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__fullrun__0111-165804
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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__fullrun__0111-165804
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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: 2.0471
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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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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| 2.1353 | 0.9998 | 2044 | 2.1582 |
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| 2.0695 | 1.9996 | 4088 | 2.0904 |
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| 2.0833 | 2.9999 | 6133 | 2.0631 |
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| 1.9914 | 3.9998 | 8177 | 2.0488 |
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| 1.9621 | 4.9996 | 10221 | 2.0409 |
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| 1.8801 | 5.9999 | 12266 | 2.0344 |
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| 1.9081 | 6.9997 | 14310 | 2.0336 |
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| 1.8805 | 8.0 | 16355 | 2.0353 |
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| 1.909 | 8.9998 | 18399 | 2.0369 |
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| 1.8255 | 9.9982 | 20440 | 2.0471 |
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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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