Farouk
commited on
Commit
Β·
7f98adb
1
Parent(s):
ebc5cec
Training in progress, step 3800
Browse files- adapter_model.bin +1 -1
- checkpoint-1600/adapter_model/adapter_model/README.md +0 -20
- checkpoint-1600/adapter_model/adapter_model/adapter_config.json +0 -26
- checkpoint-1600/adapter_model/adapter_model/adapter_model.bin +0 -3
- checkpoint-3000/adapter_model/adapter_model/README.md +12 -0
- checkpoint-3000/adapter_model/adapter_model/adapter_model.bin +1 -1
- {checkpoint-1600 β checkpoint-3800}/README.md +0 -0
- {checkpoint-1600 β checkpoint-3800}/adapter_config.json +0 -0
- {checkpoint-1600 β checkpoint-3800}/adapter_model.bin +1 -1
- {checkpoint-1600 β checkpoint-3800}/added_tokens.json +0 -0
- {checkpoint-1600 β checkpoint-3800}/optimizer.pt +1 -1
- {checkpoint-1600 β checkpoint-3800}/rng_state.pth +1 -1
- {checkpoint-1600 β checkpoint-3800}/scheduler.pt +1 -1
- {checkpoint-1600 β checkpoint-3800}/special_tokens_map.json +0 -0
- {checkpoint-1600 β checkpoint-3800}/tokenizer.model +0 -0
- {checkpoint-1600 β checkpoint-3800}/tokenizer_config.json +0 -0
- {checkpoint-1600 β checkpoint-3800}/trainer_state.json +2106 -5
- {checkpoint-1600 β checkpoint-3800}/training_args.bin +0 -0
adapter_model.bin
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checkpoint-1600/adapter_model/adapter_model/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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- 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 0.4.0
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checkpoint-1600/adapter_model/adapter_model/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "pankajmathur/orca_mini_v3_7b",
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"bias": "none",
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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": 16.0,
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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": 64,
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"revision": null,
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"target_modules": [
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"v_proj",
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"down_proj",
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"o_proj",
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"k_proj",
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"up_proj",
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"gate_proj",
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"q_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/adapter_model/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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size 319977229
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checkpoint-3000/adapter_model/adapter_model/README.md
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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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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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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- PEFT 0.4.0
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- PEFT 0.4.0
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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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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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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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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+
- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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checkpoint-3000/adapter_model/adapter_model/adapter_model.bin
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{checkpoint-1600 β checkpoint-3800}/README.md
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{checkpoint-1600 β checkpoint-3800}/adapter_config.json
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{checkpoint-1600 β checkpoint-3800}/adapter_model.bin
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{checkpoint-1600 β checkpoint-3800}/added_tokens.json
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{checkpoint-1600 β checkpoint-3800}/optimizer.pt
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{checkpoint-1600 β checkpoint-3800}/rng_state.pth
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{checkpoint-1600 β checkpoint-3800}/scheduler.pt
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{checkpoint-1600 β checkpoint-3800}/special_tokens_map.json
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{checkpoint-1600 β checkpoint-3800}/tokenizer.model
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{checkpoint-1600 β checkpoint-3800}/tokenizer_config.json
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{checkpoint-1600 β checkpoint-3800}/trainer_state.json
RENAMED
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{checkpoint-1600 β checkpoint-3800}/training_args.bin
RENAMED
File without changes
|