init
Browse files- README.md +20 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-200/README.md +20 -0
- checkpoint-200/adapter_config.json +21 -0
- checkpoint-200/adapter_model.bin +3 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/trainer_state.json +144 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-400/README.md +20 -0
- checkpoint-400/adapter_config.json +21 -0
- checkpoint-400/adapter_model.bin +3 -0
- checkpoint-400/optimizer.pt +3 -0
- checkpoint-400/rng_state.pth +3 -0
- checkpoint-400/scheduler.pt +3 -0
- checkpoint-400/trainer_state.json +272 -0
- checkpoint-400/training_args.bin +3 -0
- runs/Sep21_07-30-54_ltl-gpu05/events.out.tfevents.1695277855.ltl-gpu05.57264.0 +3 -0
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: 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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### Framework versions
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- PEFT 0.4.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/mnt/nas_home/cs2175/models/CodeLlama-7b-Instruct-hf",
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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,
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"lora_dropout": 0.05,
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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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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7b8cc13150e0aa54e442041891053c2d0fc97d92f93e2e36ab283a6c098902c
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size 16822989
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checkpoint-200/README.md
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---
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2 |
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library_name: peft
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3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: True
|
9 |
+
- load_in_4bit: False
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
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+
- bnb_4bit_compute_dtype: float32
|
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+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
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checkpoint-200/adapter_config.json
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"peft_type": "LORA",
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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-200/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7b8cc13150e0aa54e442041891053c2d0fc97d92f93e2e36ab283a6c098902c
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size 16822989
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checkpoint-200/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-200/rng_state.pth
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checkpoint-200/training_args.bin
ADDED
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:e23f8efc0898dc6f2dbc18b3c7163dd6932c7f78062f3d4f8b8790631210e0fc
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checkpoint-400/README.md
ADDED
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|
1 |
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---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: True
|
9 |
+
- load_in_4bit: False
|
10 |
+
- llm_int8_threshold: 6.0
|
11 |
+
- llm_int8_skip_modules: None
|
12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
13 |
+
- llm_int8_has_fp16_weight: False
|
14 |
+
- bnb_4bit_quant_type: fp4
|
15 |
+
- bnb_4bit_use_double_quant: False
|
16 |
+
- bnb_4bit_compute_dtype: float32
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-400/adapter_config.json
ADDED
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|
16 |
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"target_modules": [
|
17 |
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"q_proj",
|
18 |
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"v_proj"
|
19 |
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],
|
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