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README.md
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [philschmid/flan-t5-xxl-sharded-fp16](https://huggingface.co/philschmid/flan-t5-xxl-sharded-fp16) on the None dataset.
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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: True
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- load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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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 0.4.0
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- Transformers 4.31.0
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- Pytorch 2.0.1
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- Datasets 2.14.0
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tags:
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- generated_from_trainer
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model-index:
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- name: lora-flan-t5-xxl-jobCategory
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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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# lora-flan-t5-xxl-jobCategory
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This model is a fine-tuned version of [philschmid/flan-t5-xxl-sharded-fp16](https://huggingface.co/philschmid/flan-t5-xxl-sharded-fp16) on the None dataset.
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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 4.31.0
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- Pytorch 2.0.1
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- Datasets 2.14.0
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