Training in progress, step 300, checkpoint
Browse files- .gitattributes +5 -0
- checkpoint-300/optimizer_0/.metadata +3 -0
- checkpoint-300/optimizer_0/__0_0.distcp +3 -0
- checkpoint-300/optimizer_0/__1_0.distcp +3 -0
- checkpoint-300/pytorch_model_fsdp_0/.metadata +0 -0
- checkpoint-300/pytorch_model_fsdp_0/__0_0.distcp +3 -0
- checkpoint-300/pytorch_model_fsdp_0/__1_0.distcp +3 -0
- checkpoint-300/rng_state_0.pth +3 -0
- checkpoint-300/rng_state_1.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/trainer_state.json +297 -0
.gitattributes
CHANGED
@@ -43,3 +43,8 @@ checkpoint-200/optimizer_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
|
43 |
checkpoint-200/optimizer_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
44 |
checkpoint-200/pytorch_model_fsdp_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
45 |
checkpoint-200/pytorch_model_fsdp_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
43 |
checkpoint-200/optimizer_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
44 |
checkpoint-200/pytorch_model_fsdp_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
45 |
checkpoint-200/pytorch_model_fsdp_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
46 |
+
checkpoint-300/optimizer_0/.metadata filter=lfs diff=lfs merge=lfs -text
|
47 |
+
checkpoint-300/optimizer_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
48 |
+
checkpoint-300/optimizer_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
49 |
+
checkpoint-300/pytorch_model_fsdp_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
50 |
+
checkpoint-300/pytorch_model_fsdp_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
checkpoint-300/optimizer_0/.metadata
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a74ba8fcf2d857e573ced9e8ccd472ece612ef1ca47c4379e8bbc05bf43f4fa8
|
3 |
+
size 2108254
|
checkpoint-300/optimizer_0/__0_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd83da4b3217eabac2b07a5b2394f52f53eb41ce08a2c0be6eb990aa0fb60a34
|
3 |
+
size 13256787644
|
checkpoint-300/optimizer_0/__1_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4cf2d9fcb2b371884c1b05c2a2b560255b21d739eb1ec167ff6a1e79289e856a
|
3 |
+
size 13257964260
|
checkpoint-300/pytorch_model_fsdp_0/.metadata
ADDED
Binary file (734 kB). View file
|
|
checkpoint-300/pytorch_model_fsdp_0/__0_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff19db211147da7a07902d8ddfa2e2fdc4b39fde68ef13434824b735c816b833
|
3 |
+
size 6628321920
|
checkpoint-300/pytorch_model_fsdp_0/__1_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b39738a9edc1d7bbc8c5bb1b25001211e780b6870039f20096482f56805f7008
|
3 |
+
size 6628321920
|
checkpoint-300/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:beca2eb6acdd5a7b8641bec048f30fbea991ad0429f37793c30df5e17dab62ab
|
3 |
+
size 14512
|
checkpoint-300/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5a3ac9c4fbcfa1a0af2c291acea2ff563bf7187bd6cacef0705850fe757f3994
|
3 |
+
size 14512
|
checkpoint-300/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce9a26f12dd7dd941eaff313822101cf4704fc86a85950ebbf3b355f828e2a5f
|
3 |
+
size 1000
|
checkpoint-300/trainer_state.json
ADDED
@@ -0,0 +1,297 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5126128792762756,
|
3 |
+
"best_model_checkpoint": "./llama3/30-08-24-Weni-Pipeline_test_Experiment with SFT and Llama3 70b-2_max_steps-1362_batch_8_2024-08-30/checkpoint-300",
|
4 |
+
"epoch": 1.3201320132013201,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 300,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04400440044004401,
|
13 |
+
"grad_norm": 0.5568628907203674,
|
14 |
+
"learning_rate": 7.5e-05,
|
15 |
+
"loss": 2.0875,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.08800880088008801,
|
20 |
+
"grad_norm": 0.2537558972835541,
|
21 |
+
"learning_rate": 0.00015,
|
22 |
+
"loss": 0.9378,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.132013201320132,
|
27 |
+
"grad_norm": 0.24558919668197632,
|
28 |
+
"learning_rate": 0.000225,
|
29 |
+
"loss": 0.7,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.17601760176017603,
|
34 |
+
"grad_norm": 0.13937097787857056,
|
35 |
+
"learning_rate": 0.0003,
|
36 |
+
"loss": 0.6298,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.22002200220022003,
|
41 |
+
"grad_norm": 0.1871194988489151,
|
42 |
+
"learning_rate": 0.00029995764763563235,
|
43 |
+
"loss": 0.6321,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.264026402640264,
|
48 |
+
"grad_norm": 0.14626263082027435,
|
49 |
+
"learning_rate": 0.00029983061445883305,
|
50 |
+
"loss": 0.6403,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.30803080308030806,
|
55 |
+
"grad_norm": 0.12049665302038193,
|
56 |
+
"learning_rate": 0.0002996189722050073,
|
57 |
+
"loss": 0.5998,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.35203520352035206,
|
62 |
+
"grad_norm": 0.13617923855781555,
|
63 |
+
"learning_rate": 0.0002993228403881531,
|
64 |
+
"loss": 0.5942,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.39603960396039606,
|
69 |
+
"grad_norm": 0.1271793246269226,
|
70 |
+
"learning_rate": 0.00029894238623337174,
|
71 |
+
"loss": 0.5647,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.44004400440044006,
|
76 |
+
"grad_norm": 0.18757876753807068,
|
77 |
+
"learning_rate": 0.00029847782458243663,
|
78 |
+
"loss": 0.5619,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.44004400440044006,
|
83 |
+
"eval_accuracy": 1.0,
|
84 |
+
"eval_f1": 1.0,
|
85 |
+
"eval_f1_macro": 1.0,
|
86 |
+
"eval_f1_micro": 1.0,
|
87 |
+
"eval_loss": 0.5742923021316528,
|
88 |
+
"eval_precision": 1.0,
|
89 |
+
"eval_precision_macro": 1.0,
|
90 |
+
"eval_precision_micro": 1.0,
|
91 |
+
"eval_recall": 1.0,
|
92 |
+
"eval_recall_macro": 1.0,
|
93 |
+
"eval_recall_micro": 1.0,
|
94 |
+
"eval_runtime": 90.5857,
|
95 |
+
"eval_samples_per_second": 4.46,
|
96 |
+
"eval_steps_per_second": 1.115,
|
97 |
+
"step": 100
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.48404840484048406,
|
101 |
+
"grad_norm": 0.14132679998874664,
|
102 |
+
"learning_rate": 0.00029792941777247184,
|
103 |
+
"loss": 0.5584,
|
104 |
+
"step": 110
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.528052805280528,
|
108 |
+
"grad_norm": 0.15474887192249298,
|
109 |
+
"learning_rate": 0.0002972974754878111,
|
110 |
+
"loss": 0.5752,
|
111 |
+
"step": 120
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.5720572057205721,
|
115 |
+
"grad_norm": 0.13014496862888336,
|
116 |
+
"learning_rate": 0.0002965823545851199,
|
117 |
+
"loss": 0.5565,
|
118 |
+
"step": 130
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 0.6160616061606161,
|
122 |
+
"grad_norm": 0.12456662207841873,
|
123 |
+
"learning_rate": 0.00029578445889187865,
|
124 |
+
"loss": 0.5722,
|
125 |
+
"step": 140
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.6600660066006601,
|
129 |
+
"grad_norm": 0.12824317812919617,
|
130 |
+
"learning_rate": 0.00029490423897834234,
|
131 |
+
"loss": 0.523,
|
132 |
+
"step": 150
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 0.7040704070407041,
|
136 |
+
"grad_norm": 0.14279119670391083,
|
137 |
+
"learning_rate": 0.0002939421919031044,
|
138 |
+
"loss": 0.5523,
|
139 |
+
"step": 160
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 0.7480748074807481,
|
143 |
+
"grad_norm": 0.11781885474920273,
|
144 |
+
"learning_rate": 0.00029289886093240847,
|
145 |
+
"loss": 0.5291,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.7920792079207921,
|
150 |
+
"grad_norm": 0.1608349233865738,
|
151 |
+
"learning_rate": 0.0002917748352333667,
|
152 |
+
"loss": 0.5417,
|
153 |
+
"step": 180
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.8360836083608361,
|
157 |
+
"grad_norm": 0.13777320086956024,
|
158 |
+
"learning_rate": 0.0002905707495412589,
|
159 |
+
"loss": 0.4967,
|
160 |
+
"step": 190
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 0.8800880088008801,
|
164 |
+
"grad_norm": 0.21577192842960358,
|
165 |
+
"learning_rate": 0.00028928728380109764,
|
166 |
+
"loss": 0.6545,
|
167 |
+
"step": 200
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 0.8800880088008801,
|
171 |
+
"eval_accuracy": 1.0,
|
172 |
+
"eval_f1": 1.0,
|
173 |
+
"eval_f1_macro": 1.0,
|
174 |
+
"eval_f1_micro": 1.0,
|
175 |
+
"eval_loss": 0.6772989630699158,
|
176 |
+
"eval_precision": 1.0,
|
177 |
+
"eval_precision_macro": 1.0,
|
178 |
+
"eval_precision_micro": 1.0,
|
179 |
+
"eval_recall": 1.0,
|
180 |
+
"eval_recall_macro": 1.0,
|
181 |
+
"eval_recall_micro": 1.0,
|
182 |
+
"eval_runtime": 90.2067,
|
183 |
+
"eval_samples_per_second": 4.479,
|
184 |
+
"eval_steps_per_second": 1.12,
|
185 |
+
"step": 200
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.9240924092409241,
|
189 |
+
"grad_norm": 3.4556286334991455,
|
190 |
+
"learning_rate": 0.00028792516278366547,
|
191 |
+
"loss": 2.5144,
|
192 |
+
"step": 210
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.9680968096809681,
|
196 |
+
"grad_norm": 0.13046959042549133,
|
197 |
+
"learning_rate": 0.00028648515567623764,
|
198 |
+
"loss": 0.6004,
|
199 |
+
"step": 220
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 1.012101210121012,
|
203 |
+
"grad_norm": 0.39528125524520874,
|
204 |
+
"learning_rate": 0.0002849680756482235,
|
205 |
+
"loss": 0.5174,
|
206 |
+
"step": 230
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.056105610561056,
|
210 |
+
"grad_norm": 0.23764920234680176,
|
211 |
+
"learning_rate": 0.00028337477939197135,
|
212 |
+
"loss": 0.4065,
|
213 |
+
"step": 240
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 1.1001100110011002,
|
217 |
+
"grad_norm": 0.14821326732635498,
|
218 |
+
"learning_rate": 0.0002817061666389958,
|
219 |
+
"loss": 0.4425,
|
220 |
+
"step": 250
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 1.1441144114411441,
|
224 |
+
"grad_norm": 0.15903742611408234,
|
225 |
+
"learning_rate": 0.0002799631796519007,
|
226 |
+
"loss": 0.4107,
|
227 |
+
"step": 260
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.188118811881188,
|
231 |
+
"grad_norm": 0.16189326345920563,
|
232 |
+
"learning_rate": 0.00027814680269228574,
|
233 |
+
"loss": 0.4215,
|
234 |
+
"step": 270
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.2321232123212322,
|
238 |
+
"grad_norm": 0.20622508227825165,
|
239 |
+
"learning_rate": 0.00027625806146493523,
|
240 |
+
"loss": 0.3968,
|
241 |
+
"step": 280
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 1.2761276127612762,
|
245 |
+
"grad_norm": 0.17622467875480652,
|
246 |
+
"learning_rate": 0.0002742980225386045,
|
247 |
+
"loss": 0.4419,
|
248 |
+
"step": 290
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.3201320132013201,
|
252 |
+
"grad_norm": 0.12472284585237503,
|
253 |
+
"learning_rate": 0.0002722677927437307,
|
254 |
+
"loss": 0.396,
|
255 |
+
"step": 300
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 1.3201320132013201,
|
259 |
+
"eval_accuracy": 1.0,
|
260 |
+
"eval_f1": 1.0,
|
261 |
+
"eval_f1_macro": 1.0,
|
262 |
+
"eval_f1_micro": 1.0,
|
263 |
+
"eval_loss": 0.5126128792762756,
|
264 |
+
"eval_precision": 1.0,
|
265 |
+
"eval_precision_macro": 1.0,
|
266 |
+
"eval_precision_micro": 1.0,
|
267 |
+
"eval_recall": 1.0,
|
268 |
+
"eval_recall_macro": 1.0,
|
269 |
+
"eval_recall_micro": 1.0,
|
270 |
+
"eval_runtime": 90.5135,
|
271 |
+
"eval_samples_per_second": 4.463,
|
272 |
+
"eval_steps_per_second": 1.116,
|
273 |
+
"step": 300
|
274 |
+
}
|
275 |
+
],
|
276 |
+
"logging_steps": 10,
|
277 |
+
"max_steps": 1362,
|
278 |
+
"num_input_tokens_seen": 0,
|
279 |
+
"num_train_epochs": 6,
|
280 |
+
"save_steps": 100,
|
281 |
+
"stateful_callbacks": {
|
282 |
+
"TrainerControl": {
|
283 |
+
"args": {
|
284 |
+
"should_epoch_stop": false,
|
285 |
+
"should_evaluate": false,
|
286 |
+
"should_log": false,
|
287 |
+
"should_save": true,
|
288 |
+
"should_training_stop": false
|
289 |
+
},
|
290 |
+
"attributes": {}
|
291 |
+
}
|
292 |
+
},
|
293 |
+
"total_flos": 4.182761586777129e+17,
|
294 |
+
"train_batch_size": 2,
|
295 |
+
"trial_name": null,
|
296 |
+
"trial_params": null
|
297 |
+
}
|