Re-trained QLora Adapter with 260 data (5 epoch)
Browse files
README.md
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### Framework versions
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- PEFT 0.13.
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- Transformers 4.45.
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.45.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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adapter_config.json
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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":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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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": 64,
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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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size 134235048
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runs/Oct20_11-03-28_c06fa3a5df24/events.out.tfevents.1729422227.c06fa3a5df24.5296.0
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training_args.bin
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