Phương
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Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +44 -0
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
- checkpoint-100/README.md +20 -0
- checkpoint-100/adapter_config.json +26 -0
- checkpoint-100/adapter_model.bin +3 -0
- checkpoint-100/adapter_model/README.md +20 -0
- checkpoint-100/adapter_model/adapter_config.json +26 -0
- checkpoint-100/adapter_model/adapter_model.bin +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/trainer_state.json +776 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-120/README.md +20 -0
- checkpoint-120/adapter_config.json +26 -0
- checkpoint-120/adapter_model.bin +3 -0
- checkpoint-120/adapter_model/README.md +20 -0
- checkpoint-120/adapter_model/adapter_config.json +26 -0
- checkpoint-120/adapter_model/adapter_model.bin +3 -0
- checkpoint-120/optimizer.pt +3 -0
- checkpoint-120/rng_state.pth +3 -0
- checkpoint-120/scheduler.pt +3 -0
- checkpoint-120/trainer_state.json +928 -0
- checkpoint-120/training_args.bin +3 -0
- checkpoint-140/README.md +20 -0
- checkpoint-140/adapter_config.json +26 -0
- checkpoint-140/adapter_model.bin +3 -0
- checkpoint-140/adapter_model/README.md +20 -0
- checkpoint-140/adapter_model/adapter_config.json +26 -0
- checkpoint-140/adapter_model/adapter_model.bin +3 -0
- checkpoint-140/optimizer.pt +3 -0
- checkpoint-140/rng_state.pth +3 -0
- checkpoint-140/scheduler.pt +3 -0
- checkpoint-140/trainer_state.json +1080 -0
- checkpoint-140/training_args.bin +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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+
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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| 21 |
+
- llm_int8_threshold: 6.0
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+
- llm_int8_skip_modules: None
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| 23 |
+
- 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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| 27 |
+
- bnb_4bit_compute_dtype: float32
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+
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| 29 |
+
The following `bitsandbytes` quantization config was used during training:
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| 30 |
+
- load_in_8bit: True
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| 31 |
+
- load_in_4bit: False
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| 32 |
+
- llm_int8_threshold: 6.0
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| 33 |
+
- llm_int8_skip_modules: None
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| 34 |
+
- llm_int8_enable_fp32_cpu_offload: False
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| 35 |
+
- llm_int8_has_fp16_weight: False
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| 36 |
+
- bnb_4bit_quant_type: fp4
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| 37 |
+
- bnb_4bit_use_double_quant: False
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| 38 |
+
- bnb_4bit_compute_dtype: float32
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| 39 |
+
### Framework versions
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| 40 |
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| 41 |
+
- PEFT 0.4.0
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| 42 |
+
- PEFT 0.4.0
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| 43 |
+
|
| 44 |
+
- 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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| 3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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| 4 |
+
"bias": "none",
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| 5 |
+
"fan_in_fan_out": null,
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| 6 |
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"inference_mode": true,
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| 7 |
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"init_lora_weights": true,
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| 8 |
+
"layers_pattern": null,
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| 9 |
+
"layers_to_transform": null,
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| 10 |
+
"lora_alpha": 8,
|
| 11 |
+
"lora_dropout": 0.0,
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| 12 |
+
"modules_to_save": null,
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| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 4,
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| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
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"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
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| 21 |
+
"v_proj",
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| 22 |
+
"k_proj",
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| 23 |
+
"o_proj"
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| 24 |
+
],
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| 25 |
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"task_type": "CAUSAL_LM"
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| 26 |
+
}
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adapter_model.bin
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:16aded0165ccdf34618552c9774428822fab7840e9b07e0108bd61eb8e7c0510
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| 3 |
+
size 40137613
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checkpoint-100/README.md
ADDED
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| 1 |
+
---
|
| 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-100/adapter_config.json
ADDED
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@@ -0,0 +1,26 @@
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+
{
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| 2 |
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"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 8,
|
| 11 |
+
"lora_dropout": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 4,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-100/adapter_model.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be06210c83a582aa636921654ed1b7db1366f254673140e110ee471c1e119727
|
| 3 |
+
size 40137613
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checkpoint-100/adapter_model/README.md
ADDED
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| 1 |
+
---
|
| 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-100/adapter_model/adapter_config.json
ADDED
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@@ -0,0 +1,26 @@
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| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 8,
|
| 11 |
+
"lora_dropout": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 4,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-100/adapter_model/adapter_model.bin
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be06210c83a582aa636921654ed1b7db1366f254673140e110ee471c1e119727
|
| 3 |
+
size 40137613
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checkpoint-100/optimizer.pt
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:5e04e6f433ccc01787e935d43bcd1fddd2e75d58dc1a2d75d5041ba25a502d3c
|
| 3 |
+
size 10264773
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checkpoint-100/rng_state.pth
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:6fbc44877a85dc9e31508ab5cdcb4b09e15e4ccd881628820393d3ed5e0b4726
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| 3 |
+
size 14575
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checkpoint-100/scheduler.pt
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:4773e854daa1644290049115865b392563071f7ab7ace9dc2513bd5d4e5afa65
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| 3 |
+
size 627
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checkpoint-100/trainer_state.json
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@@ -0,0 +1,776 @@
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checkpoint-120/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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| 5 |
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The following `bitsandbytes` quantization config was used during training:
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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
|
| 18 |
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|
| 19 |
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|
| 20 |
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- PEFT 0.4.0
|
checkpoint-120/adapter_config.json
ADDED
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}
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version https://git-lfs.github.com/spec/v1
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checkpoint-120/adapter_model/README.md
ADDED
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|
| 1 |
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---
|
| 2 |
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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-120/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
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"target_modules": [
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],
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"task_type": "CAUSAL_LM"
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}
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| 3 |
+
size 10264773
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checkpoint-120/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:830e818e6899ff30b431c470cff0e4bafb5e8c7e429469a6fb9dfb5272323c44
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| 3 |
+
size 14575
|
checkpoint-120/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:87c65de0f3d90fa8477a7f6d5dce812df67139fc573ed544a861f1535557a37e
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| 3 |
+
size 627
|
checkpoint-120/trainer_state.json
ADDED
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@@ -0,0 +1,928 @@
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version https://git-lfs.github.com/spec/v1
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checkpoint-140/README.md
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---
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| 2 |
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library_name: peft
|
| 3 |
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---
|
| 4 |
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## Training procedure
|
| 5 |
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|
| 6 |
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|
| 7 |
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The following `bitsandbytes` quantization config was used during training:
|
| 8 |
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- load_in_8bit: True
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- load_in_4bit: False
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| 10 |
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- llm_int8_threshold: 6.0
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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
|
| 18 |
+
|
| 19 |
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|
| 20 |
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- PEFT 0.4.0
|
checkpoint-140/adapter_config.json
ADDED
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@@ -0,0 +1,26 @@
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}
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ADDED
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version https://git-lfs.github.com/spec/v1
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size 40137613
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checkpoint-140/adapter_model/README.md
ADDED
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|
| 1 |
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---
|
| 2 |
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library_name: peft
|
| 3 |
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---
|
| 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 |
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- llm_int8_skip_modules: None
|
| 12 |
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- llm_int8_enable_fp32_cpu_offload: False
|
| 13 |
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- llm_int8_has_fp16_weight: False
|
| 14 |
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- bnb_4bit_quant_type: fp4
|
| 15 |
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- bnb_4bit_use_double_quant: False
|
| 16 |
+
- bnb_4bit_compute_dtype: float32
|
| 17 |
+
### Framework versions
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- PEFT 0.4.0
|
checkpoint-140/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
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"target_modules": [
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"up_proj",
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"v_proj",
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"k_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM"
|
| 26 |
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}
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checkpoint-140/adapter_model/adapter_model.bin
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size 40137613
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checkpoint-140/optimizer.pt
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checkpoint-140/rng_state.pth
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