Commit
·
70e6f33
1
Parent(s):
7f3acae
add weights
Browse filesThis view is limited to 50 files because it contains too many changes.
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- README.md +20 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- all_results.json +7 -0
- checkpoint-100/README.md +20 -0
- checkpoint-100/adapter_config.json +21 -0
- checkpoint-100/adapter_model.bin +3 -0
- checkpoint-100/finetuning_args.json +16 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state_0.pth +3 -0
- checkpoint-100/rng_state_1.pth +3 -0
- checkpoint-100/rng_state_2.pth +3 -0
- checkpoint-100/rng_state_3.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/trainer_state.json +76 -0
- checkpoint-100/training_args.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/finetuning_args.json +16 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/rng_state_0.pth +3 -0
- checkpoint-200/rng_state_1.pth +3 -0
- checkpoint-200/rng_state_2.pth +3 -0
- checkpoint-200/rng_state_3.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/trainer_state.json +136 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-300/README.md +20 -0
- checkpoint-300/adapter_config.json +21 -0
- checkpoint-300/adapter_model.bin +3 -0
- checkpoint-300/finetuning_args.json +16 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/rng_state_0.pth +3 -0
- checkpoint-300/rng_state_1.pth +3 -0
- checkpoint-300/rng_state_2.pth +3 -0
- checkpoint-300/rng_state_3.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/trainer_state.json +196 -0
- checkpoint-300/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/finetuning_args.json +16 -0
- checkpoint-400/optimizer.pt +3 -0
- checkpoint-400/rng_state_0.pth +3 -0
- checkpoint-400/rng_state_1.pth +3 -0
- checkpoint-400/rng_state_2.pth +3 -0
- checkpoint-400/rng_state_3.pth +3 -0
- checkpoint-400/scheduler.pt +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: 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: float16
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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": "./Llama-2-7b-chat-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": 32.0,
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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": 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 sha256:2caaad197530a3965a22162a1a4f134ea47bedb0764e975de78c12c02243c5bb
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size 16821197
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.09018798397804953,
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"train_runtime": 3518.059,
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+
"train_samples_per_second": 17.302,
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"train_steps_per_second": 0.135
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}
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checkpoint-100/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 |
+
|
6 |
+
|
7 |
+
The following `bitsandbytes` quantization config was used during training:
|
8 |
+
- load_in_8bit: False
|
9 |
+
- load_in_4bit: True
|
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
|
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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: float16
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### Framework versions
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+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
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checkpoint-100/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "./Llama-2-7b-chat-hf",
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"bias": "none",
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5 |
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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": 32.0,
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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": 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-100/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fda278e5ace76c536aa3bf1c85fe37dee7c1f6ac6d8437aa7124a5892bd0b5dc
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size 16821197
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checkpoint-100/finetuning_args.json
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{
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"dpo_beta": 0.1,
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"finetuning_type": "lora",
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"lora_alpha": 32.0,
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"lora_dropout": 0.1,
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"lora_rank": 8,
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"lora_target": [
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"q_proj",
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"v_proj"
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],
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"name_module_trainable": "mlp",
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"num_hidden_layers": 32,
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"num_layer_trainable": 3,
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"ppo_score_norm": false,
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"resume_lora_training": true
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}
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checkpoint-100/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 33661637
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checkpoint-100/rng_state_0.pth
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size 18679
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checkpoint-100/rng_state_1.pth
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checkpoint-100/scheduler.pt
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checkpoint-100/trainer_state.json
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checkpoint-100/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe4d4776971676826edc330ee61437e7a54bfe686c560913bd8069abb82f5e49
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size 3233
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checkpoint-200/README.md
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---
|
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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: False
|
9 |
+
- load_in_4bit: True
|
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: nf4
|
15 |
+
- bnb_4bit_use_double_quant: True
|
16 |
+
- bnb_4bit_compute_dtype: float16
|
17 |
+
### Framework versions
|
18 |
+
|
19 |
+
|
20 |
+
- PEFT 0.4.0
|
checkpoint-200/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "./Llama-2-7b-chat-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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"lora_alpha": 32.0,
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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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checkpoint-300/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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|
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|
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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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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Framework versions
|
18 |
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|
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|
20 |
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- PEFT 0.4.0
|
checkpoint-300/adapter_config.json
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checkpoint-400/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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### Framework versions
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- PEFT 0.4.0
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