metadata
base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma-cnmc-ft
results: []
paligemma-cnmc-ft
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: 0.3006
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9645 | 17 | 1.2278 |
| No log | 1.9858 | 35 | 0.4162 |
| 0.8676 | 2.9504 | 52 | 0.3132 |
| 0.8676 | 3.9716 | 70 | 0.2602 |
| 0.8676 | 4.9929 | 88 | 0.2446 |
| 0.2526 | 5.9574 | 105 | 0.2100 |
| 0.2526 | 6.9787 | 123 | 0.1986 |
| 0.2526 | 8.0 | 141 | 0.3006 |
Framework versions
- PEFT 0.11.1
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1