metadata
base_model: google/paligemma-3b-mix-448
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: resultsrocogoogle_paligemma-3b-mix-448__fullrun__0111-165804
results: []
resultsrocogoogle_paligemma-3b-mix-448__fullrun__0111-165804
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: 2.0471
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1353 | 0.9998 | 2044 | 2.1582 |
| 2.0695 | 1.9996 | 4088 | 2.0904 |
| 2.0833 | 2.9999 | 6133 | 2.0631 |
| 1.9914 | 3.9998 | 8177 | 2.0488 |
| 1.9621 | 4.9996 | 10221 | 2.0409 |
| 1.8801 | 5.9999 | 12266 | 2.0344 |
| 1.9081 | 6.9997 | 14310 | 2.0336 |
| 1.8805 | 8.0 | 16355 | 2.0353 |
| 1.909 | 8.9998 | 18399 | 2.0369 |
| 1.8255 | 9.9982 | 20440 | 2.0471 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.3.0.post101
- Datasets 2.19.1
- Tokenizers 0.20.0