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---
library_name: transformers
license: gemma
base_model: google/paligemma-3b-pt-224
tags:
- generated_from_trainer
model-index:
- name: paligemma_racer_fp32
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. -->
# paligemma_racer_fp32
This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5338
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.942 | 0.1674 | 100 | 3.2672 |
| 2.8843 | 0.3349 | 200 | 2.7924 |
| 2.675 | 0.5023 | 300 | 2.6303 |
| 2.5428 | 0.6697 | 400 | 2.5909 |
| 2.5034 | 0.8372 | 500 | 2.5196 |
| 2.4216 | 1.0046 | 600 | 2.5330 |
| 2.377 | 1.1720 | 700 | 2.5048 |
| 2.3428 | 1.3395 | 800 | 2.5692 |
| 2.3453 | 1.5069 | 900 | 2.5152 |
| 2.3258 | 1.6743 | 1000 | 2.5434 |
| 2.2206 | 1.8418 | 1100 | 2.5338 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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