| license: gemma | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: google/paligemma-3b-pt-224 | |
| model-index: | |
| - name: paligemma-hin-v8 | |
| results: [] | |
| <!-- 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-hin-v8 | |
| This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 5.3798 | |
| - eval_runtime: 400.8311 | |
| - eval_samples_per_second: 1.25 | |
| - eval_steps_per_second: 1.25 | |
| - epoch: 0.0129 | |
| - step: 40 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 16 | |
| - 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: 2 | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - PEFT 0.11.1 | |
| - Transformers 4.42.0.dev0 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.19.1 |