metadata
base_model: google/paligemma-3b-mix-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: results__fullrun__0710-151659
results: []
results__fullrun__0710-151659
This model is a fine-tuned version of google/paligemma-3b-mix-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9365
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: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6543 | 0.9952 | 180 | 2.5976 |
| 2.3815 | 1.9959 | 361 | 2.4431 |
| 2.202 | 2.9965 | 542 | 2.3760 |
| 2.0724 | 3.9972 | 723 | 2.3569 |
| 1.9581 | 4.9979 | 904 | 2.3635 |
| 1.8454 | 5.9986 | 1085 | 2.3840 |
| 1.7332 | 6.9993 | 1266 | 2.4254 |
| 1.6564 | 8.0 | 1447 | 2.4647 |
| 1.5437 | 8.9952 | 1627 | 2.5172 |
| 1.4799 | 9.9959 | 1808 | 2.5699 |
| 1.4155 | 10.9965 | 1989 | 2.6371 |
| 1.3326 | 11.9972 | 2170 | 2.7292 |
| 1.2682 | 12.9979 | 2351 | 2.7818 |
| 1.2501 | 13.9986 | 2532 | 2.8409 |
| 1.1692 | 14.9993 | 2713 | 2.8931 |
| 1.166 | 16.0 | 2894 | 2.9522 |
| 1.0736 | 16.9952 | 3074 | 3.0303 |
| 1.0849 | 17.9959 | 3255 | 3.0626 |
| 1.0453 | 18.9965 | 3436 | 3.1208 |
| 0.9778 | 19.9972 | 3617 | 3.1514 |
| 0.9626 | 20.9979 | 3798 | 3.2182 |
| 0.9285 | 21.9986 | 3979 | 3.2926 |
| 0.9047 | 22.9993 | 4160 | 3.3494 |
| 0.8471 | 24.0 | 4341 | 3.3960 |
| 0.8123 | 24.9952 | 4521 | 3.4674 |
| 0.7798 | 25.9959 | 4702 | 3.5216 |
| 0.762 | 26.9965 | 4883 | 3.6214 |
| 0.7284 | 27.9972 | 5064 | 3.6831 |
| 0.6922 | 28.9979 | 5245 | 3.6883 |
| 0.6732 | 29.9986 | 5426 | 3.7731 |
| 0.6575 | 30.9993 | 5607 | 3.8512 |
| 0.608 | 32.0 | 5788 | 3.9272 |
| 0.5817 | 32.9952 | 5968 | 3.9129 |
| 0.5567 | 33.9959 | 6149 | 4.0213 |
| 0.5448 | 34.9965 | 6330 | 4.0896 |
| 0.5159 | 35.9972 | 6511 | 4.1160 |
| 0.4992 | 36.9979 | 6692 | 4.1914 |
| 0.4644 | 37.9986 | 6873 | 4.2932 |
| 0.4412 | 38.9993 | 7054 | 4.3430 |
| 0.4619 | 40.0 | 7235 | 4.4002 |
| 0.4155 | 40.9952 | 7415 | 4.3920 |
| 0.3948 | 41.9959 | 7596 | 4.5190 |
| 0.3714 | 42.9965 | 7777 | 4.5420 |
| 0.3536 | 43.9972 | 7958 | 4.6237 |
| 0.3402 | 44.9979 | 8139 | 4.6591 |
| 0.3336 | 45.9986 | 8320 | 4.7309 |
| 0.3026 | 46.9993 | 8501 | 4.7661 |
| 0.2914 | 48.0 | 8682 | 4.8383 |
| 0.2711 | 48.9952 | 8862 | 4.8839 |
| 0.2498 | 49.7581 | 9000 | 4.9365 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.19.1