results_solo_fold_1_pt
This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2045
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
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.2659 | 1.0 | 2091 | 0.2373 |
0.2604 | 2.0 | 4182 | 0.2230 |
0.2414 | 3.0 | 6273 | 0.2121 |
0.2287 | 4.0 | 8364 | 0.2104 |
0.2304 | 5.0 | 10455 | 0.2066 |
0.233 | 6.0 | 12546 | 0.2064 |
0.2142 | 7.0 | 14637 | 0.2045 |
0.2163 | 8.0 | 16728 | 0.2051 |
0.2228 | 9.0 | 18819 | 0.2047 |
0.2283 | 10.0 | 20910 | 0.2049 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.1.2+cu121
- Tokenizers 0.21.0
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Base model
google/paligemma-3b-pt-224