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  1. README.md +267 -0
  2. adapter_config.json +21 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-120/README.md +21 -0
  5. checkpoint-120/adapter_config.json +21 -0
  6. checkpoint-120/adapter_model.safetensors +3 -0
  7. checkpoint-120/optimizer.pt +3 -0
  8. checkpoint-120/rng_state.pth +3 -0
  9. checkpoint-120/scheduler.pt +3 -0
  10. checkpoint-120/trainer_state.json +355 -0
  11. checkpoint-120/training_args.bin +3 -0
  12. checkpoint-130/README.md +21 -0
  13. checkpoint-130/adapter_config.json +21 -0
  14. checkpoint-130/adapter_model.safetensors +3 -0
  15. checkpoint-130/optimizer.pt +3 -0
  16. checkpoint-130/rng_state.pth +3 -0
  17. checkpoint-130/scheduler.pt +3 -0
  18. checkpoint-130/trainer_state.json +383 -0
  19. checkpoint-130/training_args.bin +3 -0
  20. checkpoint-140/README.md +21 -0
  21. checkpoint-140/adapter_config.json +21 -0
  22. checkpoint-140/adapter_model.safetensors +3 -0
  23. checkpoint-140/optimizer.pt +3 -0
  24. checkpoint-140/rng_state.pth +3 -0
  25. checkpoint-140/scheduler.pt +3 -0
  26. checkpoint-140/trainer_state.json +411 -0
  27. checkpoint-140/training_args.bin +3 -0
  28. checkpoint-60/README.md +23 -0
  29. checkpoint-60/adapter_config.json +21 -0
  30. checkpoint-60/adapter_model.safetensors +3 -0
  31. checkpoint-60/optimizer.pt +3 -0
  32. checkpoint-60/rng_state.pth +3 -0
  33. checkpoint-60/scheduler.pt +3 -0
  34. checkpoint-60/trainer_state.json +201 -0
  35. checkpoint-60/training_args.bin +3 -0
  36. checkpoint-70/README.md +68 -0
  37. checkpoint-70/adapter_config.json +21 -0
  38. checkpoint-70/adapter_model.safetensors +3 -0
  39. checkpoint-70/optimizer.pt +3 -0
  40. checkpoint-70/rng_state.pth +3 -0
  41. checkpoint-70/scheduler.pt +3 -0
  42. checkpoint-70/trainer_state.json +231 -0
  43. checkpoint-70/training_args.bin +3 -0
  44. config.json +42 -0
  45. logs/events.out.tfevents.1699989718.node0370.palmetto.clemson.edu.1119956.2 +3 -0
  46. logs/events.out.tfevents.1699989813.node0370.palmetto.clemson.edu.1119956.4 +3 -0
  47. logs/events.out.tfevents.1699994287.node0370.palmetto.clemson.edu.1126403.1 +3 -0
  48. logs/events.out.tfevents.1699995040.node0370.palmetto.clemson.edu.1127435.1 +3 -0
  49. logs/events.out.tfevents.1700064888.node0277.palmetto.clemson.edu.1971495.1 +3 -0
  50. logs/events.out.tfevents.1700066157.node0277.palmetto.clemson.edu.1973537.1 +3 -0
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
+ - quant_method: bitsandbytes
9
+ - _load_in_8bit: False
10
+ - _load_in_4bit: False
11
+ - llm_int8_threshold: 6.0
12
+ - llm_int8_skip_modules: None
13
+ - llm_int8_enable_fp32_cpu_offload: False
14
+ - llm_int8_has_fp16_weight: False
15
+ - bnb_4bit_quant_type: fp4
16
+ - bnb_4bit_use_double_quant: False
17
+ - bnb_4bit_compute_dtype: float32
18
+ - load_in_4bit: False
19
+ - load_in_8bit: False
20
+
21
+ The following `bitsandbytes` quantization config was used during training:
22
+ - quant_method: bitsandbytes
23
+ - _load_in_8bit: False
24
+ - _load_in_4bit: False
25
+ - llm_int8_threshold: 6.0
26
+ - llm_int8_skip_modules: None
27
+ - llm_int8_enable_fp32_cpu_offload: False
28
+ - llm_int8_has_fp16_weight: False
29
+ - bnb_4bit_quant_type: fp4
30
+ - bnb_4bit_use_double_quant: False
31
+ - bnb_4bit_compute_dtype: float32
32
+ - load_in_4bit: False
33
+ - load_in_8bit: False
34
+
35
+ The following `bitsandbytes` quantization config was used during training:
36
+ - quant_method: bitsandbytes
37
+ - _load_in_8bit: False
38
+ - _load_in_4bit: False
39
+ - llm_int8_threshold: 6.0
40
+ - llm_int8_skip_modules: None
41
+ - llm_int8_enable_fp32_cpu_offload: False
42
+ - llm_int8_has_fp16_weight: False
43
+ - bnb_4bit_quant_type: fp4
44
+ - bnb_4bit_use_double_quant: False
45
+ - bnb_4bit_compute_dtype: float32
46
+ - load_in_4bit: False
47
+ - load_in_8bit: False
48
+
49
+ The following `bitsandbytes` quantization config was used during training:
50
+ - quant_method: bitsandbytes
51
+ - _load_in_8bit: False
52
+ - _load_in_4bit: False
53
+ - llm_int8_threshold: 6.0
54
+ - llm_int8_skip_modules: None
55
+ - llm_int8_enable_fp32_cpu_offload: False
56
+ - llm_int8_has_fp16_weight: False
57
+ - bnb_4bit_quant_type: fp4
58
+ - bnb_4bit_use_double_quant: False
59
+ - bnb_4bit_compute_dtype: float32
60
+ - load_in_4bit: False
61
+ - load_in_8bit: False
62
+
63
+ The following `bitsandbytes` quantization config was used during training:
64
+ - quant_method: bitsandbytes
65
+ - _load_in_8bit: False
66
+ - _load_in_4bit: False
67
+ - llm_int8_threshold: 6.0
68
+ - llm_int8_skip_modules: None
69
+ - llm_int8_enable_fp32_cpu_offload: False
70
+ - llm_int8_has_fp16_weight: False
71
+ - bnb_4bit_quant_type: fp4
72
+ - bnb_4bit_use_double_quant: False
73
+ - bnb_4bit_compute_dtype: float32
74
+ - load_in_4bit: False
75
+ - load_in_8bit: False
76
+
77
+ The following `bitsandbytes` quantization config was used during training:
78
+ - quant_method: bitsandbytes
79
+ - _load_in_8bit: False
80
+ - _load_in_4bit: False
81
+ - llm_int8_threshold: 6.0
82
+ - llm_int8_skip_modules: None
83
+ - llm_int8_enable_fp32_cpu_offload: False
84
+ - llm_int8_has_fp16_weight: False
85
+ - bnb_4bit_quant_type: fp4
86
+ - bnb_4bit_use_double_quant: False
87
+ - bnb_4bit_compute_dtype: float32
88
+ - load_in_4bit: False
89
+ - load_in_8bit: False
90
+
91
+ The following `bitsandbytes` quantization config was used during training:
92
+ - quant_method: bitsandbytes
93
+ - load_in_8bit: True
94
+ - load_in_4bit: False
95
+ - llm_int8_threshold: 6.0
96
+ - llm_int8_skip_modules: None
97
+ - llm_int8_enable_fp32_cpu_offload: False
98
+ - llm_int8_has_fp16_weight: False
99
+ - bnb_4bit_quant_type: fp4
100
+ - bnb_4bit_use_double_quant: False
101
+ - bnb_4bit_compute_dtype: float32
102
+
103
+ The following `bitsandbytes` quantization config was used during training:
104
+ - quant_method: bitsandbytes
105
+ - load_in_8bit: True
106
+ - load_in_4bit: False
107
+ - llm_int8_threshold: 6.0
108
+ - llm_int8_skip_modules: None
109
+ - llm_int8_enable_fp32_cpu_offload: False
110
+ - llm_int8_has_fp16_weight: False
111
+ - bnb_4bit_quant_type: fp4
112
+ - bnb_4bit_use_double_quant: False
113
+ - bnb_4bit_compute_dtype: float32
114
+
115
+ The following `bitsandbytes` quantization config was used during training:
116
+ - quant_method: bitsandbytes
117
+ - load_in_8bit: True
118
+ - load_in_4bit: False
119
+ - llm_int8_threshold: 6.0
120
+ - llm_int8_skip_modules: None
121
+ - llm_int8_enable_fp32_cpu_offload: False
122
+ - llm_int8_has_fp16_weight: False
123
+ - bnb_4bit_quant_type: fp4
124
+ - bnb_4bit_use_double_quant: False
125
+ - bnb_4bit_compute_dtype: float32
126
+
127
+ The following `bitsandbytes` quantization config was used during training:
128
+ - quant_method: bitsandbytes
129
+ - load_in_8bit: True
130
+ - load_in_4bit: False
131
+ - llm_int8_threshold: 6.0
132
+ - llm_int8_skip_modules: None
133
+ - llm_int8_enable_fp32_cpu_offload: False
134
+ - llm_int8_has_fp16_weight: False
135
+ - bnb_4bit_quant_type: fp4
136
+ - bnb_4bit_use_double_quant: False
137
+ - bnb_4bit_compute_dtype: float32
138
+
139
+ The following `bitsandbytes` quantization config was used during training:
140
+ - quant_method: bitsandbytes
141
+ - load_in_8bit: True
142
+ - load_in_4bit: False
143
+ - llm_int8_threshold: 6.0
144
+ - llm_int8_skip_modules: None
145
+ - llm_int8_enable_fp32_cpu_offload: False
146
+ - llm_int8_has_fp16_weight: False
147
+ - bnb_4bit_quant_type: fp4
148
+ - bnb_4bit_use_double_quant: False
149
+ - bnb_4bit_compute_dtype: float32
150
+
151
+ The following `bitsandbytes` quantization config was used during training:
152
+ - quant_method: bitsandbytes
153
+ - load_in_8bit: True
154
+ - load_in_4bit: False
155
+ - llm_int8_threshold: 6.0
156
+ - llm_int8_skip_modules: None
157
+ - llm_int8_enable_fp32_cpu_offload: False
158
+ - llm_int8_has_fp16_weight: False
159
+ - bnb_4bit_quant_type: fp4
160
+ - bnb_4bit_use_double_quant: False
161
+ - bnb_4bit_compute_dtype: float32
162
+
163
+ The following `bitsandbytes` quantization config was used during training:
164
+ - quant_method: bitsandbytes
165
+ - load_in_8bit: True
166
+ - load_in_4bit: False
167
+ - llm_int8_threshold: 6.0
168
+ - llm_int8_skip_modules: None
169
+ - llm_int8_enable_fp32_cpu_offload: False
170
+ - llm_int8_has_fp16_weight: False
171
+ - bnb_4bit_quant_type: fp4
172
+ - bnb_4bit_use_double_quant: False
173
+ - bnb_4bit_compute_dtype: float32
174
+
175
+ The following `bitsandbytes` quantization config was used during training:
176
+ - quant_method: bitsandbytes
177
+ - load_in_8bit: True
178
+ - load_in_4bit: False
179
+ - llm_int8_threshold: 6.0
180
+ - llm_int8_skip_modules: None
181
+ - llm_int8_enable_fp32_cpu_offload: False
182
+ - llm_int8_has_fp16_weight: False
183
+ - bnb_4bit_quant_type: fp4
184
+ - bnb_4bit_use_double_quant: False
185
+ - bnb_4bit_compute_dtype: float32
186
+
187
+ The following `bitsandbytes` quantization config was used during training:
188
+ - quant_method: bitsandbytes
189
+ - load_in_8bit: True
190
+ - load_in_4bit: False
191
+ - llm_int8_threshold: 6.0
192
+ - llm_int8_skip_modules: None
193
+ - llm_int8_enable_fp32_cpu_offload: False
194
+ - llm_int8_has_fp16_weight: False
195
+ - bnb_4bit_quant_type: fp4
196
+ - bnb_4bit_use_double_quant: False
197
+ - bnb_4bit_compute_dtype: float32
198
+
199
+ The following `bitsandbytes` quantization config was used during training:
200
+ - quant_method: bitsandbytes
201
+ - load_in_8bit: True
202
+ - load_in_4bit: False
203
+ - llm_int8_threshold: 6.0
204
+ - llm_int8_skip_modules: None
205
+ - llm_int8_enable_fp32_cpu_offload: False
206
+ - llm_int8_has_fp16_weight: False
207
+ - bnb_4bit_quant_type: fp4
208
+ - bnb_4bit_use_double_quant: False
209
+ - bnb_4bit_compute_dtype: float32
210
+
211
+ The following `bitsandbytes` quantization config was used during training:
212
+ - quant_method: bitsandbytes
213
+ - load_in_8bit: True
214
+ - load_in_4bit: False
215
+ - llm_int8_threshold: 6.0
216
+ - llm_int8_skip_modules: None
217
+ - llm_int8_enable_fp32_cpu_offload: False
218
+ - llm_int8_has_fp16_weight: False
219
+ - bnb_4bit_quant_type: fp4
220
+ - bnb_4bit_use_double_quant: False
221
+ - bnb_4bit_compute_dtype: float32
222
+
223
+ The following `bitsandbytes` quantization config was used during training:
224
+ - quant_method: bitsandbytes
225
+ - load_in_8bit: True
226
+ - load_in_4bit: False
227
+ - llm_int8_threshold: 6.0
228
+ - llm_int8_skip_modules: None
229
+ - llm_int8_enable_fp32_cpu_offload: False
230
+ - llm_int8_has_fp16_weight: False
231
+ - bnb_4bit_quant_type: fp4
232
+ - bnb_4bit_use_double_quant: False
233
+ - bnb_4bit_compute_dtype: float32
234
+
235
+ The following `bitsandbytes` quantization config was used during training:
236
+ - quant_method: bitsandbytes
237
+ - load_in_8bit: True
238
+ - load_in_4bit: False
239
+ - llm_int8_threshold: 6.0
240
+ - llm_int8_skip_modules: None
241
+ - llm_int8_enable_fp32_cpu_offload: False
242
+ - llm_int8_has_fp16_weight: False
243
+ - 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
247
+
248
+ - PEFT 0.5.0
249
+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+
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+ - PEFT 0.5.0
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "meta-llama/Llama-2-70b-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,
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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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+ }
adapter_model.bin ADDED
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checkpoint-120/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - quant_method: bitsandbytes
9
+ - load_in_8bit: True
10
+ - load_in_4bit: False
11
+ - llm_int8_threshold: 6.0
12
+ - llm_int8_skip_modules: None
13
+ - llm_int8_enable_fp32_cpu_offload: False
14
+ - llm_int8_has_fp16_weight: False
15
+ - bnb_4bit_quant_type: fp4
16
+ - bnb_4bit_use_double_quant: False
17
+ - bnb_4bit_compute_dtype: float32
18
+ ### Framework versions
19
+
20
+
21
+ - PEFT 0.5.0
checkpoint-120/adapter_config.json ADDED
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+ "base_model_name_or_path": "meta-llama/Llama-2-7b-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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+ "layers_pattern": null,
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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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+ {
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+ "best_metric": 1.6305923461914062,
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+ {
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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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+ ### Framework versions
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