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Browse files- README.md +20 -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-60/README.md +20 -0
- checkpoint-60/adapter_config.json +26 -0
- checkpoint-60/adapter_model.bin +3 -0
- checkpoint-60/adapter_model/README.md +20 -0
- checkpoint-60/adapter_model/adapter_config.json +26 -0
- checkpoint-60/adapter_model/adapter_model.bin +3 -0
- checkpoint-60/optimizer.pt +3 -0
- checkpoint-60/rng_state.pth +3 -0
- checkpoint-60/scheduler.pt +3 -0
- checkpoint-60/trainer_state.json +472 -0
- checkpoint-60/training_args.bin +3 -0
- checkpoint-80/README.md +20 -0
- checkpoint-80/adapter_config.json +26 -0
- checkpoint-80/adapter_model.bin +3 -0
- checkpoint-80/adapter_model/README.md +20 -0
- checkpoint-80/adapter_model/adapter_config.json +26 -0
- checkpoint-80/adapter_model/adapter_model.bin +3 -0
- checkpoint-80/optimizer.pt +3 -0
- checkpoint-80/rng_state.pth +3 -0
- checkpoint-80/scheduler.pt +3 -0
- checkpoint-80/trainer_state.json +624 -0
- checkpoint-80/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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### 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": "meta-llama/Llama-2-13b-hf",
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"bias": "none",
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| 5 |
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"fan_in_fan_out": null,
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| 6 |
+
"inference_mode": true,
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| 7 |
+
"init_lora_weights": true,
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| 8 |
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"layers_pattern": null,
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| 9 |
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"layers_to_transform": null,
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| 10 |
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"lora_alpha": 8,
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| 11 |
+
"lora_dropout": 0.0,
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| 12 |
+
"modules_to_save": null,
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| 13 |
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"peft_type": "LORA",
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| 14 |
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"r": 4,
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| 15 |
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"revision": null,
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| 16 |
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"target_modules": [
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| 17 |
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"gate_proj",
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| 18 |
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"down_proj",
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| 19 |
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"up_proj",
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| 20 |
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"q_proj",
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| 21 |
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"v_proj",
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| 22 |
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"k_proj",
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| 23 |
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"o_proj"
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| 24 |
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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 sha256:4fa0189c84963fea95cc47f6089a306258747e9e4831836f0be11695bdf891b5
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| 3 |
+
size 62787853
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checkpoint-100/README.md
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+
---
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| 2 |
+
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
|
| 16 |
+
- bnb_4bit_compute_dtype: float32
|
| 17 |
+
### Framework versions
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- PEFT 0.4.0
|
checkpoint-100/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-2-13b-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,
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| 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 |
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"task_type": "CAUSAL_LM"
|
| 26 |
+
}
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checkpoint-100/adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:03f21124954311f7b7fb3feaa80eaa9b93b92678fc3f10388fbe1e88babd117a
|
| 3 |
+
size 62787853
|
checkpoint-100/adapter_model/README.md
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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-2-13b-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 sha256:03f21124954311f7b7fb3feaa80eaa9b93b92678fc3f10388fbe1e88babd117a
|
| 3 |
+
size 62787853
|
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
|
| 2 |
+
oid sha256:d35b0bc0d1a11bb01408f685e08994fe51915f45aa1c364e7986413b65ce207a
|
| 3 |
+
size 15984958
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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
|
| 2 |
+
oid sha256:370c3a07f37a8aae6ea141b54ca992b21699546baf7407eb587b6056f787333b
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| 3 |
+
size 14575
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checkpoint-100/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:41455f7f4f2bd1024973206c2d8ad16e78af8d1f2ebdfb3a66f7efb193382148
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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-60/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_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-60/adapter_config.json
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checkpoint-60/adapter_model/README.md
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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 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- load_in_8bit: True
|
| 9 |
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- load_in_4bit: False
|
| 10 |
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- llm_int8_threshold: 6.0
|
| 11 |
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
|
| 13 |
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|
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|
| 15 |
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- bnb_4bit_use_double_quant: False
|
| 16 |
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- bnb_4bit_compute_dtype: float32
|
| 17 |
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### Framework versions
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- PEFT 0.4.0
|
checkpoint-60/adapter_model/adapter_config.json
ADDED
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@@ -0,0 +1,26 @@
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],
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"task_type": "CAUSAL_LM"
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}
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version https://git-lfs.github.com/spec/v1
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checkpoint-80/README.md
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---
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library_name: peft
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---
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| 4 |
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## Training procedure
|
| 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 |
+
|
| 20 |
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- PEFT 0.4.0
|
checkpoint-80/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-80/adapter_model/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 |
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- llm_int8_has_fp16_weight: False
|
| 14 |
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- 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-80/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-80/training_args.bin
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