OUniv commited on
Commit
afe2f0a
·
1 Parent(s): ef218b2

Upload 8 files

Browse files
README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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.dev0
adapter_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_name_or_path": "decapoda-research/llama-7b-hf",
3
+ "bias": "none",
4
+ "fan_in_fan_out": false,
5
+ "inference_mode": true,
6
+ "init_lora_weights": true,
7
+ "layers_pattern": null,
8
+ "layers_to_transform": null,
9
+ "lora_alpha": 16,
10
+ "lora_dropout": 0.05,
11
+ "modules_to_save": null,
12
+ "peft_type": "LORA",
13
+ "r": 8,
14
+ "revision": null,
15
+ "target_modules": [
16
+ "q_proj",
17
+ "v_proj"
18
+ ],
19
+ "task_type": "CAUSAL_LM"
20
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
3
+ size 443
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:700a878c38b398a06475ceeaaef3caa2b4d0fe2be1d7e65870bc2779ef2aefdd
3
+ size 33661637
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6da7093015e0436f8b33673f76f30210c2289fe3752113046aacdf8f4ca51bde
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:473957f40dfb57902efb831c2282a51b3b67e7025fd09020b4382671aa15b281
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,244 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6280947923660278,
3
+ "best_model_checkpoint": "experiments/checkpoint-300",
4
+ "epoch": 22.58823529411765,
5
+ "global_step": 300,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.75,
12
+ "learning_rate": 2.9999999999999997e-05,
13
+ "loss": 3.2272,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 1.51,
18
+ "learning_rate": 5.9999999999999995e-05,
19
+ "loss": 3.068,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 2.26,
24
+ "learning_rate": 8.999999999999999e-05,
25
+ "loss": 2.6558,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 3.01,
30
+ "learning_rate": 0.00011399999999999999,
31
+ "loss": 1.8885,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 3.76,
36
+ "learning_rate": 0.00014399999999999998,
37
+ "loss": 1.3458,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 3.76,
42
+ "eval_loss": 1.1582125425338745,
43
+ "eval_runtime": 6.163,
44
+ "eval_samples_per_second": 32.451,
45
+ "eval_steps_per_second": 4.056,
46
+ "step": 50
47
+ },
48
+ {
49
+ "epoch": 4.52,
50
+ "learning_rate": 0.00017399999999999997,
51
+ "loss": 1.1036,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 5.27,
56
+ "learning_rate": 0.000204,
57
+ "loss": 0.9892,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 6.02,
62
+ "learning_rate": 0.000234,
63
+ "loss": 0.9294,
64
+ "step": 80
65
+ },
66
+ {
67
+ "epoch": 6.78,
68
+ "learning_rate": 0.00026399999999999997,
69
+ "loss": 0.8787,
70
+ "step": 90
71
+ },
72
+ {
73
+ "epoch": 7.53,
74
+ "learning_rate": 0.000294,
75
+ "loss": 0.7888,
76
+ "step": 100
77
+ },
78
+ {
79
+ "epoch": 7.53,
80
+ "eval_loss": 0.7398544549942017,
81
+ "eval_runtime": 6.2173,
82
+ "eval_samples_per_second": 32.168,
83
+ "eval_steps_per_second": 4.021,
84
+ "step": 100
85
+ },
86
+ {
87
+ "epoch": 8.28,
88
+ "learning_rate": 0.00028799999999999995,
89
+ "loss": 0.7733,
90
+ "step": 110
91
+ },
92
+ {
93
+ "epoch": 9.04,
94
+ "learning_rate": 0.00027299999999999997,
95
+ "loss": 0.7331,
96
+ "step": 120
97
+ },
98
+ {
99
+ "epoch": 9.79,
100
+ "learning_rate": 0.000258,
101
+ "loss": 0.7048,
102
+ "step": 130
103
+ },
104
+ {
105
+ "epoch": 10.54,
106
+ "learning_rate": 0.000243,
107
+ "loss": 0.6899,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 11.29,
112
+ "learning_rate": 0.00022799999999999999,
113
+ "loss": 0.665,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 11.29,
118
+ "eval_loss": 0.6526339650154114,
119
+ "eval_runtime": 6.1516,
120
+ "eval_samples_per_second": 32.512,
121
+ "eval_steps_per_second": 4.064,
122
+ "step": 150
123
+ },
124
+ {
125
+ "epoch": 12.05,
126
+ "learning_rate": 0.00021299999999999997,
127
+ "loss": 0.6446,
128
+ "step": 160
129
+ },
130
+ {
131
+ "epoch": 12.8,
132
+ "learning_rate": 0.000198,
133
+ "loss": 0.6263,
134
+ "step": 170
135
+ },
136
+ {
137
+ "epoch": 13.55,
138
+ "learning_rate": 0.00018299999999999998,
139
+ "loss": 0.631,
140
+ "step": 180
141
+ },
142
+ {
143
+ "epoch": 14.31,
144
+ "learning_rate": 0.000168,
145
+ "loss": 0.6041,
146
+ "step": 190
147
+ },
148
+ {
149
+ "epoch": 15.06,
150
+ "learning_rate": 0.00015299999999999998,
151
+ "loss": 0.6041,
152
+ "step": 200
153
+ },
154
+ {
155
+ "epoch": 15.06,
156
+ "eval_loss": 0.6296558380126953,
157
+ "eval_runtime": 6.2161,
158
+ "eval_samples_per_second": 32.175,
159
+ "eval_steps_per_second": 4.022,
160
+ "step": 200
161
+ },
162
+ {
163
+ "epoch": 15.81,
164
+ "learning_rate": 0.000138,
165
+ "loss": 0.5883,
166
+ "step": 210
167
+ },
168
+ {
169
+ "epoch": 16.56,
170
+ "learning_rate": 0.00012299999999999998,
171
+ "loss": 0.5914,
172
+ "step": 220
173
+ },
174
+ {
175
+ "epoch": 17.32,
176
+ "learning_rate": 0.00010799999999999998,
177
+ "loss": 0.5698,
178
+ "step": 230
179
+ },
180
+ {
181
+ "epoch": 18.07,
182
+ "learning_rate": 9.3e-05,
183
+ "loss": 0.5689,
184
+ "step": 240
185
+ },
186
+ {
187
+ "epoch": 18.82,
188
+ "learning_rate": 7.8e-05,
189
+ "loss": 0.5654,
190
+ "step": 250
191
+ },
192
+ {
193
+ "epoch": 18.82,
194
+ "eval_loss": 0.6283386945724487,
195
+ "eval_runtime": 6.3224,
196
+ "eval_samples_per_second": 31.634,
197
+ "eval_steps_per_second": 3.954,
198
+ "step": 250
199
+ },
200
+ {
201
+ "epoch": 19.58,
202
+ "learning_rate": 6.299999999999999e-05,
203
+ "loss": 0.5469,
204
+ "step": 260
205
+ },
206
+ {
207
+ "epoch": 20.33,
208
+ "learning_rate": 4.7999999999999994e-05,
209
+ "loss": 0.564,
210
+ "step": 270
211
+ },
212
+ {
213
+ "epoch": 21.08,
214
+ "learning_rate": 3.2999999999999996e-05,
215
+ "loss": 0.5409,
216
+ "step": 280
217
+ },
218
+ {
219
+ "epoch": 21.84,
220
+ "learning_rate": 1.7999999999999997e-05,
221
+ "loss": 0.5464,
222
+ "step": 290
223
+ },
224
+ {
225
+ "epoch": 22.59,
226
+ "learning_rate": 2.9999999999999997e-06,
227
+ "loss": 0.5396,
228
+ "step": 300
229
+ },
230
+ {
231
+ "epoch": 22.59,
232
+ "eval_loss": 0.6280947923660278,
233
+ "eval_runtime": 6.5628,
234
+ "eval_samples_per_second": 30.475,
235
+ "eval_steps_per_second": 3.809,
236
+ "step": 300
237
+ }
238
+ ],
239
+ "max_steps": 300,
240
+ "num_train_epochs": 24,
241
+ "total_flos": 2.072193504116736e+17,
242
+ "trial_name": null,
243
+ "trial_params": null
244
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c224615f448dd88fe39e06f0496b34dc136610d228450dc30b926ea7a1ec48f4
3
+ size 3963