Model save
Browse files- README.md +59 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- runs/Jun05_10-14-26_gpu-l4-ab/events.out.tfevents.1717582549.gpu-l4-ab.40677.0 +3 -0
- runs/Jun05_10-20-37_gpu-l4-ab/events.out.tfevents.1717582837.gpu-l4-ab.42008.0 +3 -0
- runs/Jun05_12-33-55_gpu-l4-ab/events.out.tfevents.1717590836.gpu-l4-ab.64311.0 +3 -0
- runs/Jun05_13-00-33_gpu-l4-ab/events.out.tfevents.1717592438.gpu-l4-ab.64311.1 +3 -0
- runs/Jun05_13-01-46_gpu-l4-ab/events.out.tfevents.1717592507.gpu-l4-ab.68303.0 +3 -0
- runs/Jun06_08-15-43_gpu-l4-ab/events.out.tfevents.1717661745.gpu-l4-ab.2926.0 +3 -0
- runs/Jun06_08-25-37_gpu-l4-ab/events.out.tfevents.1717662338.gpu-l4-ab.9591.0 +3 -0
- runs/Jun06_08-44-12_gpu-l4-ab/events.out.tfevents.1717663503.gpu-l4-ab +3 -0
- runs/Jun06_08-51-00_gpu-l4-ab/events.out.tfevents.1717663864.gpu-l4-ab +3 -0
- runs/Jun06_09-10-03_gpu-l4-ab/events.out.tfevents.1717665004.gpu-l4-ab +3 -0
- training_args.bin +3 -0
README.md
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---
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license: gemma
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: google/paligemma-3b-pt-224
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datasets:
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- imagefolder
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model-index:
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- name: paligemma_educacode
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# paligemma_educacode
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This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on the imagefolder dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 2
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/paligemma-3b-pt-224",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 8,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"gate_proj",
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"v_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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runs/Jun05_10-14-26_gpu-l4-ab/events.out.tfevents.1717582549.gpu-l4-ab.40677.0
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runs/Jun05_10-20-37_gpu-l4-ab/events.out.tfevents.1717582837.gpu-l4-ab.42008.0
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runs/Jun05_12-33-55_gpu-l4-ab/events.out.tfevents.1717590836.gpu-l4-ab.64311.0
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runs/Jun05_13-00-33_gpu-l4-ab/events.out.tfevents.1717592438.gpu-l4-ab.64311.1
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runs/Jun05_13-01-46_gpu-l4-ab/events.out.tfevents.1717592507.gpu-l4-ab.68303.0
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runs/Jun06_08-15-43_gpu-l4-ab/events.out.tfevents.1717661745.gpu-l4-ab.2926.0
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runs/Jun06_08-25-37_gpu-l4-ab/events.out.tfevents.1717662338.gpu-l4-ab.9591.0
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runs/Jun06_08-44-12_gpu-l4-ab/events.out.tfevents.1717663503.gpu-l4-ab
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runs/Jun06_08-51-00_gpu-l4-ab/events.out.tfevents.1717663864.gpu-l4-ab
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runs/Jun06_09-10-03_gpu-l4-ab/events.out.tfevents.1717665004.gpu-l4-ab
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training_args.bin
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