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paligemma_vqav2_lr1e_5
RoyRoyRpy/paligemma_vqav2_lr1e_5
paligemma_vqav2_lr1e_5 is a machine learning model from RoyRoyRpy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024
- SHA
- 92840de9
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
paligemma_vqav2_lr1e_5
This model is a fine-tuned version of google/paligemma-3b-pt-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8757
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: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8047 | 0.3125 | 100 | 2.7102 |
| 2.5191 | 0.625 | 200 | 1.8346 |
| 1.9491 | 0.9375 | 300 | 1.4737 |
| 1.7149 | 1.25 | 400 | 1.2760 |
| 1.638 | 1.5625 | 500 | 1.1683 |
| 1.5128 | 1.875 | 600 | 1.1024 |
| 1.4079 | 2.1875 | 700 | 1.0432 |
| 1.3928 | 2.5 | 800 | 1.0078 |
| 1.3355 | 2.8125 | 900 | 0.9682 |
| 1.1662 | 3.125 | 1000 | 0.9412 |
| 1.222 | 3.4375 | 1100 | 0.9246 |
| 1.2254 | 3.75 | 1200 | 0.9102 |
| 1.1127 | 4.0625 | 1300 | 0.8936 |
| 1.0704 | 4.375 | 1400 | 0.8698 |
| 1.0614 | 4.6875 | 1500 | 0.8617 |
| 1.0572 | 5.0 | 1600 | 0.8531 |
| 0.9373 | 5.3125 | 1700 | 0.8505 |
| 0.9517 | 5.625 | 1800 | 0.8339 |
| 0.9599 | 5.9375 | 1900 | 0.8308 |
| 0.8669 | 6.25 | 2000 | 0.8364 |
| 0.8671 | 6.5625 | 2100 | 0.8374 |
| 0.8996 | 6.875 | 2200 | 0.8258 |
| 0.7827 | 7.1875 | 2300 | 0.8214 |
| 0.7874 | 7.5 | 2400 | 0.8343 |
| 0.7524 | 7.8125 | 2500 | 0.8135 |
| 0.7243 | 8.125 | 2600 | 0.8300 |
| 0.6922 | 8.4375 | 2700 | 0.8323 |
| 0.7111 | 8.75 | 2800 | 0.8259 |
| 0.6894 | 9.0625 | 2900 | 0.8595 |
| 0.6122 | 9.375 | 3000 | 0.8308 |
| 0.6113 | 9.6875 | 3100 | 0.8358 |
| 0.6199 | 10.0 | 3200 | 0.8371 |
| 0.5587 | 10.3125 | 3300 | 0.8657 |
| 0.5487 | 10.625 | 3400 | 0.8677 |
| 0.5529 | 10.9375 | 3500 | 0.8612 |
| 0.4998 | 11.25 | 3600 | 0.8937 |
| 0.4999 | 11.5625 | 3700 | 0.8784 |
| 0.4809 | 11.875 | 3800 | 0.8757 |
Framework versions
- PEFT 0.13.0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- peft
- License
- gemma
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024