Model save
Browse files- README.md +55 -0
- 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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license: bigscience-bloom-rail-1.0
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base_model: bigscience/bloomz-1b7
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tags:
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- generated_from_trainer
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model-index:
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- name: SiNa-Bloomz-1b7-LoRA_SiNa-FC-007
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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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# SiNa-Bloomz-1b7-LoRA_SiNa-FC-007
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This model is a fine-tuned version of [bigscience/bloomz-1b7](https://huggingface.co/bigscience/bloomz-1b7) on the None 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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 0
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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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: 100
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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adapter_config.json
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 1,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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adapter_model.safetensors
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training_args.bin
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