Training in progress, step 1600, checkpoint
Browse files- checkpoint-1600/README.md +21 -0
- checkpoint-1600/adapter_config.json +21 -0
- checkpoint-1600/adapter_model.bin +3 -0
- checkpoint-1600/optimizer.pt +3 -0
- checkpoint-1600/rng_state.pth +3 -0
- checkpoint-1600/scheduler.pt +3 -0
- checkpoint-1600/trainer_state.json +345 -0
- checkpoint-1600/training_args.bin +3 -0
checkpoint-1600/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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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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### Framework versions
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- PEFT 0.6.0.dev0
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checkpoint-1600/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
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"bias": "lora_only",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 8,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-1600/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd63484b0b3ff0e103cf7482bc1ac58d7fd7d7ebdb2e46c2b4883d024da41e0a
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size 16822989
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checkpoint-1600/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e57f0bb554b1283a9fa2f1f9060fe2524786eab36c7d4b0af8fa92dcb7f4d8c
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size 8555781
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checkpoint-1600/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8ed40e67db909d7ca744bbd8a7fc1b8340cd3705ec010975efb51a204a4cc14
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size 14575
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checkpoint-1600/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d81782e94449cd8814d93411cf896c7116234abf7ab62c04bd56b6bfd506aa9
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size 627
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checkpoint-1600/trainer_state.json
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