End of training
Browse files- README.md +13 -0
- adapter_model.bin +1 -1
- runs/Aug02_17-06-21_b282177827ba/events.out.tfevents.1690995989.b282177827ba.5153.0 +3 -0
- runs/Aug02_17-20-46_b282177827ba/events.out.tfevents.1690996849.b282177827ba.5153.1 +3 -0
- runs/Aug02_17-24-43_b282177827ba/events.out.tfevents.1690997086.b282177827ba.5153.2 +3 -0
- training_args.bin +1 -1
README.md
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model-index:
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- name: opt-350m_bn
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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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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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model-index:
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- name: opt-350m_bn
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results: []
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library_name: peft
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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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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Training hyperparameters
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The following hyperparameters were used during training:
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### Framework versions
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- PEFT 0.5.0.dev0
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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adapter_model.bin
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training_args.bin
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