metadata
base_model: google/paligemma-3b-mix-448
datasets:
- khatt-paragraphs
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma_khatt_paragraph_mix_448_ep1_r128
results: []
paligemma_khatt_paragraph_mix_448_ep1_r128
This model is a fine-tuned version of google/paligemma-3b-mix-448 on the khatt-paragraphs dataset. It achieves the following results on the evaluation set:
- Loss: 1.6759
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 2
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5113 | 0.1014 | 100 | 2.4764 |
| 2.1232 | 0.2027 | 200 | 2.1948 |
| 1.8843 | 0.3041 | 300 | 2.0064 |
| 1.815 | 0.4055 | 400 | 1.8942 |
| 1.8574 | 0.5068 | 500 | 1.8223 |
| 1.6986 | 0.6082 | 600 | 1.7674 |
| 1.749 | 0.7096 | 700 | 1.7335 |
| 1.7122 | 0.8109 | 800 | 1.7025 |
| 1.61 | 0.9123 | 900 | 1.6759 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1