yunfan-y/trump-gemma-qa
Browse files- README.md +5 -5
- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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---
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base_model: google/gemma-2-
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library_name: peft
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license: gemma
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tags:
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# result
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This model is a fine-tuned version of [google/gemma-2-
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## Model description
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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:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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: 50
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---
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base_model: google/gemma-2-9b-it
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library_name: peft
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license: gemma
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tags:
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# result
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This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset.
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## Model description
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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: 2
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- total_train_batch_size: 4
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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: 50
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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/gemma-2-
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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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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2-9b-it",
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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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adapter_model.safetensors
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size
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training_args.bin
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