metadata
base_model: google/paligemma-3b-mix-448
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: results__fullrun__2110-104610
results: []
results__fullrun__2110-104610
This model is a fine-tuned version of google/paligemma-3b-mix-448 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2421
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6855 | 0.9952 | 180 | 2.6276 |
| 2.4044 | 1.9959 | 361 | 2.4716 |
| 2.2275 | 2.9965 | 542 | 2.4070 |
| 2.092 | 3.9972 | 723 | 2.3871 |
| 1.9761 | 4.9979 | 904 | 2.3929 |
| 1.8674 | 5.9986 | 1085 | 2.4194 |
| 1.7501 | 6.9993 | 1266 | 2.4726 |
| 1.6706 | 8.0 | 1447 | 2.5062 |
| 1.5599 | 8.9952 | 1627 | 2.5492 |
| 1.4896 | 9.9959 | 1808 | 2.6080 |
| 1.4289 | 10.9965 | 1989 | 2.6687 |
| 1.3458 | 11.9972 | 2170 | 2.7300 |
| 1.2746 | 12.9979 | 2351 | 2.7933 |
| 1.2656 | 13.9986 | 2532 | 2.8295 |
| 1.1751 | 14.9993 | 2713 | 2.9203 |
| 1.1792 | 16.0 | 2894 | 2.9811 |
| 1.0851 | 16.9952 | 3074 | 3.0481 |
| 1.0966 | 17.9959 | 3255 | 3.0981 |
| 1.0581 | 18.9965 | 3436 | 3.1394 |
| 1.0055 | 19.9032 | 3600 | 3.2421 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.20.0