Training in progress, epoch 0
Browse files- all_results.json +8 -0
- model.safetensors +1 -1
- runs/Jun12_04-27-17_65ff55f6246e/events.out.tfevents.1718166451.65ff55f6246e.34.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +804 -0
- training_args.bin +1 -1
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.9936034115138592,
|
3 |
+
"total_flos": 1.0638717415807058e+19,
|
4 |
+
"train_loss": 0.580430903835514,
|
5 |
+
"train_runtime": 949.3813,
|
6 |
+
"train_samples_per_second": 142.198,
|
7 |
+
"train_steps_per_second": 1.109
|
8 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 349878736
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ea8a4b52b9192292e295133ab66d1431c1695f80ded6e0aa1e24ff697098a92
|
3 |
size 349878736
|
runs/Jun12_04-27-17_65ff55f6246e/events.out.tfevents.1718166451.65ff55f6246e.34.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:857c831d1d6c16f2c4c3b21683269f5053cdae00470a5fbda8a766af653c2141
|
3 |
+
size 12829
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.9936034115138592,
|
3 |
+
"total_flos": 1.0638717415807058e+19,
|
4 |
+
"train_loss": 0.580430903835514,
|
5 |
+
"train_runtime": 949.3813,
|
6 |
+
"train_samples_per_second": 142.198,
|
7 |
+
"train_steps_per_second": 1.109
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,804 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.961,
|
3 |
+
"best_model_checkpoint": "clip-vit-base-patch32-finetuned-eurosat/checkpoint-1053",
|
4 |
+
"epoch": 2.9936034115138592,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1053,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.028429282160625444,
|
13 |
+
"grad_norm": 12.128193855285645,
|
14 |
+
"learning_rate": 4.716981132075472e-06,
|
15 |
+
"loss": 2.3369,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.05685856432125089,
|
20 |
+
"grad_norm": 19.345117568969727,
|
21 |
+
"learning_rate": 9.433962264150944e-06,
|
22 |
+
"loss": 2.0309,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.08528784648187633,
|
27 |
+
"grad_norm": 39.82497787475586,
|
28 |
+
"learning_rate": 1.4150943396226415e-05,
|
29 |
+
"loss": 1.466,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.11371712864250177,
|
34 |
+
"grad_norm": 39.60441589355469,
|
35 |
+
"learning_rate": 1.8867924528301888e-05,
|
36 |
+
"loss": 1.2444,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.14214641080312723,
|
41 |
+
"grad_norm": 40.64250946044922,
|
42 |
+
"learning_rate": 2.358490566037736e-05,
|
43 |
+
"loss": 1.0176,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.17057569296375266,
|
48 |
+
"grad_norm": 39.66933822631836,
|
49 |
+
"learning_rate": 2.830188679245283e-05,
|
50 |
+
"loss": 0.9046,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.19900497512437812,
|
55 |
+
"grad_norm": 30.824308395385742,
|
56 |
+
"learning_rate": 3.30188679245283e-05,
|
57 |
+
"loss": 0.8737,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.22743425728500355,
|
62 |
+
"grad_norm": 26.433198928833008,
|
63 |
+
"learning_rate": 3.7735849056603776e-05,
|
64 |
+
"loss": 0.8393,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.255863539445629,
|
69 |
+
"grad_norm": 21.772321701049805,
|
70 |
+
"learning_rate": 4.245283018867925e-05,
|
71 |
+
"loss": 0.8792,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.28429282160625446,
|
76 |
+
"grad_norm": 23.111845016479492,
|
77 |
+
"learning_rate": 4.716981132075472e-05,
|
78 |
+
"loss": 0.9117,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.31272210376687987,
|
83 |
+
"grad_norm": 18.194908142089844,
|
84 |
+
"learning_rate": 4.978880675818374e-05,
|
85 |
+
"loss": 0.7778,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3411513859275053,
|
90 |
+
"grad_norm": 20.22426986694336,
|
91 |
+
"learning_rate": 4.9260823653643085e-05,
|
92 |
+
"loss": 0.8241,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.3695806680881308,
|
97 |
+
"grad_norm": 21.78709602355957,
|
98 |
+
"learning_rate": 4.8732840549102435e-05,
|
99 |
+
"loss": 0.7939,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.39800995024875624,
|
104 |
+
"grad_norm": 19.71605682373047,
|
105 |
+
"learning_rate": 4.820485744456177e-05,
|
106 |
+
"loss": 0.876,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.42643923240938164,
|
111 |
+
"grad_norm": 18.039392471313477,
|
112 |
+
"learning_rate": 4.767687434002112e-05,
|
113 |
+
"loss": 0.768,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.4548685145700071,
|
118 |
+
"grad_norm": 19.62349510192871,
|
119 |
+
"learning_rate": 4.7148891235480466e-05,
|
120 |
+
"loss": 0.7447,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.48329779673063256,
|
125 |
+
"grad_norm": 15.236215591430664,
|
126 |
+
"learning_rate": 4.662090813093981e-05,
|
127 |
+
"loss": 0.8356,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.511727078891258,
|
132 |
+
"grad_norm": 19.196414947509766,
|
133 |
+
"learning_rate": 4.609292502639916e-05,
|
134 |
+
"loss": 0.8388,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.5401563610518835,
|
139 |
+
"grad_norm": 23.391098022460938,
|
140 |
+
"learning_rate": 4.55649419218585e-05,
|
141 |
+
"loss": 0.8099,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.5685856432125089,
|
146 |
+
"grad_norm": 14.287452697753906,
|
147 |
+
"learning_rate": 4.503695881731785e-05,
|
148 |
+
"loss": 0.7713,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5970149253731343,
|
153 |
+
"grad_norm": 21.557052612304688,
|
154 |
+
"learning_rate": 4.45089757127772e-05,
|
155 |
+
"loss": 0.7324,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.6254442075337597,
|
160 |
+
"grad_norm": 18.124984741210938,
|
161 |
+
"learning_rate": 4.398099260823654e-05,
|
162 |
+
"loss": 0.7383,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.6538734896943852,
|
167 |
+
"grad_norm": 20.559268951416016,
|
168 |
+
"learning_rate": 4.3453009503695884e-05,
|
169 |
+
"loss": 0.728,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6823027718550106,
|
174 |
+
"grad_norm": 16.50807762145996,
|
175 |
+
"learning_rate": 4.292502639915523e-05,
|
176 |
+
"loss": 0.7594,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.7107320540156361,
|
181 |
+
"grad_norm": 18.29205894470215,
|
182 |
+
"learning_rate": 4.239704329461457e-05,
|
183 |
+
"loss": 0.7597,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.7391613361762616,
|
188 |
+
"grad_norm": 17.540321350097656,
|
189 |
+
"learning_rate": 4.186906019007392e-05,
|
190 |
+
"loss": 0.6979,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.767590618336887,
|
195 |
+
"grad_norm": 18.201658248901367,
|
196 |
+
"learning_rate": 4.1341077085533265e-05,
|
197 |
+
"loss": 0.7461,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.7960199004975125,
|
202 |
+
"grad_norm": 17.44607162475586,
|
203 |
+
"learning_rate": 4.081309398099261e-05,
|
204 |
+
"loss": 0.6786,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.8244491826581379,
|
209 |
+
"grad_norm": 14.286916732788086,
|
210 |
+
"learning_rate": 4.028511087645195e-05,
|
211 |
+
"loss": 0.6731,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.8528784648187633,
|
216 |
+
"grad_norm": 13.381218910217285,
|
217 |
+
"learning_rate": 3.97571277719113e-05,
|
218 |
+
"loss": 0.6752,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.8813077469793887,
|
223 |
+
"grad_norm": 11.218981742858887,
|
224 |
+
"learning_rate": 3.9229144667370646e-05,
|
225 |
+
"loss": 0.6389,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.9097370291400142,
|
230 |
+
"grad_norm": 11.469705581665039,
|
231 |
+
"learning_rate": 3.870116156282999e-05,
|
232 |
+
"loss": 0.643,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.9381663113006397,
|
237 |
+
"grad_norm": 17.61397933959961,
|
238 |
+
"learning_rate": 3.817317845828934e-05,
|
239 |
+
"loss": 0.6538,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.9665955934612651,
|
244 |
+
"grad_norm": 15.262922286987305,
|
245 |
+
"learning_rate": 3.764519535374868e-05,
|
246 |
+
"loss": 0.6231,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.9950248756218906,
|
251 |
+
"grad_norm": 15.590916633605957,
|
252 |
+
"learning_rate": 3.711721224920803e-05,
|
253 |
+
"loss": 0.6556,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.997867803837953,
|
258 |
+
"eval_accuracy": 0.9068,
|
259 |
+
"eval_loss": 0.28233855962753296,
|
260 |
+
"eval_runtime": 15.6893,
|
261 |
+
"eval_samples_per_second": 318.688,
|
262 |
+
"eval_steps_per_second": 10.007,
|
263 |
+
"step": 351
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.023454157782516,
|
267 |
+
"grad_norm": 14.132500648498535,
|
268 |
+
"learning_rate": 3.658922914466738e-05,
|
269 |
+
"loss": 0.5939,
|
270 |
+
"step": 360
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.0518834399431414,
|
274 |
+
"grad_norm": 14.34232234954834,
|
275 |
+
"learning_rate": 3.6061246040126714e-05,
|
276 |
+
"loss": 0.5661,
|
277 |
+
"step": 370
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 1.080312722103767,
|
281 |
+
"grad_norm": 23.517648696899414,
|
282 |
+
"learning_rate": 3.5533262935586064e-05,
|
283 |
+
"loss": 0.6292,
|
284 |
+
"step": 380
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.1087420042643923,
|
288 |
+
"grad_norm": 10.964395523071289,
|
289 |
+
"learning_rate": 3.500527983104541e-05,
|
290 |
+
"loss": 0.5544,
|
291 |
+
"step": 390
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 1.1371712864250179,
|
295 |
+
"grad_norm": 12.745725631713867,
|
296 |
+
"learning_rate": 3.447729672650475e-05,
|
297 |
+
"loss": 0.5386,
|
298 |
+
"step": 400
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 1.1656005685856432,
|
302 |
+
"grad_norm": 13.943474769592285,
|
303 |
+
"learning_rate": 3.3949313621964095e-05,
|
304 |
+
"loss": 0.5936,
|
305 |
+
"step": 410
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.1940298507462686,
|
309 |
+
"grad_norm": 16.283620834350586,
|
310 |
+
"learning_rate": 3.3421330517423445e-05,
|
311 |
+
"loss": 0.5046,
|
312 |
+
"step": 420
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 1.2224591329068941,
|
316 |
+
"grad_norm": 12.565506935119629,
|
317 |
+
"learning_rate": 3.289334741288279e-05,
|
318 |
+
"loss": 0.578,
|
319 |
+
"step": 430
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 1.2508884150675195,
|
323 |
+
"grad_norm": 12.695046424865723,
|
324 |
+
"learning_rate": 3.236536430834213e-05,
|
325 |
+
"loss": 0.5875,
|
326 |
+
"step": 440
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 1.279317697228145,
|
330 |
+
"grad_norm": 15.638214111328125,
|
331 |
+
"learning_rate": 3.183738120380148e-05,
|
332 |
+
"loss": 0.5058,
|
333 |
+
"step": 450
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 1.3077469793887704,
|
337 |
+
"grad_norm": 13.463284492492676,
|
338 |
+
"learning_rate": 3.130939809926082e-05,
|
339 |
+
"loss": 0.5279,
|
340 |
+
"step": 460
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 1.336176261549396,
|
344 |
+
"grad_norm": 10.782665252685547,
|
345 |
+
"learning_rate": 3.078141499472017e-05,
|
346 |
+
"loss": 0.542,
|
347 |
+
"step": 470
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.3646055437100213,
|
351 |
+
"grad_norm": 18.311925888061523,
|
352 |
+
"learning_rate": 3.0253431890179517e-05,
|
353 |
+
"loss": 0.5147,
|
354 |
+
"step": 480
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.3930348258706466,
|
358 |
+
"grad_norm": 12.827178955078125,
|
359 |
+
"learning_rate": 2.972544878563886e-05,
|
360 |
+
"loss": 0.5325,
|
361 |
+
"step": 490
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 1.4214641080312722,
|
365 |
+
"grad_norm": 13.880022048950195,
|
366 |
+
"learning_rate": 2.9197465681098207e-05,
|
367 |
+
"loss": 0.5294,
|
368 |
+
"step": 500
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 1.4498933901918978,
|
372 |
+
"grad_norm": 15.585273742675781,
|
373 |
+
"learning_rate": 2.8669482576557548e-05,
|
374 |
+
"loss": 0.532,
|
375 |
+
"step": 510
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.4783226723525231,
|
379 |
+
"grad_norm": 12.55144214630127,
|
380 |
+
"learning_rate": 2.8141499472016898e-05,
|
381 |
+
"loss": 0.52,
|
382 |
+
"step": 520
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 1.5067519545131485,
|
386 |
+
"grad_norm": 13.474200248718262,
|
387 |
+
"learning_rate": 2.7613516367476245e-05,
|
388 |
+
"loss": 0.5257,
|
389 |
+
"step": 530
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.535181236673774,
|
393 |
+
"grad_norm": 12.359495162963867,
|
394 |
+
"learning_rate": 2.7085533262935585e-05,
|
395 |
+
"loss": 0.5541,
|
396 |
+
"step": 540
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.5636105188343994,
|
400 |
+
"grad_norm": 12.825304985046387,
|
401 |
+
"learning_rate": 2.6557550158394935e-05,
|
402 |
+
"loss": 0.4987,
|
403 |
+
"step": 550
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 1.5920398009950247,
|
407 |
+
"grad_norm": 10.33250904083252,
|
408 |
+
"learning_rate": 2.6029567053854276e-05,
|
409 |
+
"loss": 0.4908,
|
410 |
+
"step": 560
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.6204690831556503,
|
414 |
+
"grad_norm": 13.17313289642334,
|
415 |
+
"learning_rate": 2.5501583949313622e-05,
|
416 |
+
"loss": 0.4884,
|
417 |
+
"step": 570
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.6488983653162759,
|
421 |
+
"grad_norm": 12.920696258544922,
|
422 |
+
"learning_rate": 2.497360084477297e-05,
|
423 |
+
"loss": 0.4873,
|
424 |
+
"step": 580
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 1.6773276474769012,
|
428 |
+
"grad_norm": 11.354279518127441,
|
429 |
+
"learning_rate": 2.4445617740232313e-05,
|
430 |
+
"loss": 0.4974,
|
431 |
+
"step": 590
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.7057569296375266,
|
435 |
+
"grad_norm": 13.763202667236328,
|
436 |
+
"learning_rate": 2.391763463569166e-05,
|
437 |
+
"loss": 0.4398,
|
438 |
+
"step": 600
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.7341862117981521,
|
442 |
+
"grad_norm": 8.816915512084961,
|
443 |
+
"learning_rate": 2.3389651531151003e-05,
|
444 |
+
"loss": 0.4761,
|
445 |
+
"step": 610
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 1.7626154939587777,
|
449 |
+
"grad_norm": 13.627618789672852,
|
450 |
+
"learning_rate": 2.286166842661035e-05,
|
451 |
+
"loss": 0.469,
|
452 |
+
"step": 620
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 1.7910447761194028,
|
456 |
+
"grad_norm": 17.703720092773438,
|
457 |
+
"learning_rate": 2.2333685322069694e-05,
|
458 |
+
"loss": 0.4148,
|
459 |
+
"step": 630
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.8194740582800284,
|
463 |
+
"grad_norm": 9.903636932373047,
|
464 |
+
"learning_rate": 2.180570221752904e-05,
|
465 |
+
"loss": 0.4824,
|
466 |
+
"step": 640
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.847903340440654,
|
470 |
+
"grad_norm": 10.972967147827148,
|
471 |
+
"learning_rate": 2.1277719112988384e-05,
|
472 |
+
"loss": 0.4282,
|
473 |
+
"step": 650
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.8763326226012793,
|
477 |
+
"grad_norm": 12.979598045349121,
|
478 |
+
"learning_rate": 2.074973600844773e-05,
|
479 |
+
"loss": 0.5252,
|
480 |
+
"step": 660
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.9047619047619047,
|
484 |
+
"grad_norm": 11.675236701965332,
|
485 |
+
"learning_rate": 2.0221752903907075e-05,
|
486 |
+
"loss": 0.4225,
|
487 |
+
"step": 670
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 1.9331911869225302,
|
491 |
+
"grad_norm": 13.110438346862793,
|
492 |
+
"learning_rate": 1.9693769799366422e-05,
|
493 |
+
"loss": 0.4313,
|
494 |
+
"step": 680
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.9616204690831558,
|
498 |
+
"grad_norm": 8.968453407287598,
|
499 |
+
"learning_rate": 1.9165786694825765e-05,
|
500 |
+
"loss": 0.4725,
|
501 |
+
"step": 690
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.9900497512437811,
|
505 |
+
"grad_norm": 13.918693542480469,
|
506 |
+
"learning_rate": 1.863780359028511e-05,
|
507 |
+
"loss": 0.4659,
|
508 |
+
"step": 700
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 1.9985785358919688,
|
512 |
+
"eval_accuracy": 0.9474,
|
513 |
+
"eval_loss": 0.15807794034481049,
|
514 |
+
"eval_runtime": 15.4621,
|
515 |
+
"eval_samples_per_second": 323.371,
|
516 |
+
"eval_steps_per_second": 10.154,
|
517 |
+
"step": 703
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 2.0184790334044065,
|
521 |
+
"grad_norm": 10.97941780090332,
|
522 |
+
"learning_rate": 1.810982048574446e-05,
|
523 |
+
"loss": 0.4331,
|
524 |
+
"step": 710
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.046908315565032,
|
528 |
+
"grad_norm": 12.966859817504883,
|
529 |
+
"learning_rate": 1.7581837381203803e-05,
|
530 |
+
"loss": 0.4168,
|
531 |
+
"step": 720
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 2.0753375977256576,
|
535 |
+
"grad_norm": 13.996347427368164,
|
536 |
+
"learning_rate": 1.7053854276663146e-05,
|
537 |
+
"loss": 0.3803,
|
538 |
+
"step": 730
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 2.1037668798862827,
|
542 |
+
"grad_norm": 11.576925277709961,
|
543 |
+
"learning_rate": 1.6525871172122493e-05,
|
544 |
+
"loss": 0.3876,
|
545 |
+
"step": 740
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 2.1321961620469083,
|
549 |
+
"grad_norm": 13.173456192016602,
|
550 |
+
"learning_rate": 1.5997888067581837e-05,
|
551 |
+
"loss": 0.3753,
|
552 |
+
"step": 750
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 2.160625444207534,
|
556 |
+
"grad_norm": 10.2720365524292,
|
557 |
+
"learning_rate": 1.5469904963041184e-05,
|
558 |
+
"loss": 0.3442,
|
559 |
+
"step": 760
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 2.189054726368159,
|
563 |
+
"grad_norm": 12.404537200927734,
|
564 |
+
"learning_rate": 1.4941921858500529e-05,
|
565 |
+
"loss": 0.3509,
|
566 |
+
"step": 770
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 2.2174840085287846,
|
570 |
+
"grad_norm": 12.196104049682617,
|
571 |
+
"learning_rate": 1.4413938753959874e-05,
|
572 |
+
"loss": 0.3653,
|
573 |
+
"step": 780
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 2.24591329068941,
|
577 |
+
"grad_norm": 10.60234546661377,
|
578 |
+
"learning_rate": 1.388595564941922e-05,
|
579 |
+
"loss": 0.4059,
|
580 |
+
"step": 790
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 2.2743425728500357,
|
584 |
+
"grad_norm": 11.045681953430176,
|
585 |
+
"learning_rate": 1.3357972544878563e-05,
|
586 |
+
"loss": 0.3827,
|
587 |
+
"step": 800
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 2.302771855010661,
|
591 |
+
"grad_norm": 11.341653823852539,
|
592 |
+
"learning_rate": 1.2829989440337912e-05,
|
593 |
+
"loss": 0.3632,
|
594 |
+
"step": 810
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 2.3312011371712864,
|
598 |
+
"grad_norm": 9.08681869506836,
|
599 |
+
"learning_rate": 1.2302006335797255e-05,
|
600 |
+
"loss": 0.3687,
|
601 |
+
"step": 820
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.359630419331912,
|
605 |
+
"grad_norm": 11.295198440551758,
|
606 |
+
"learning_rate": 1.17740232312566e-05,
|
607 |
+
"loss": 0.3599,
|
608 |
+
"step": 830
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.388059701492537,
|
612 |
+
"grad_norm": 9.960636138916016,
|
613 |
+
"learning_rate": 1.1246040126715946e-05,
|
614 |
+
"loss": 0.3642,
|
615 |
+
"step": 840
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 2.4164889836531627,
|
619 |
+
"grad_norm": 12.375933647155762,
|
620 |
+
"learning_rate": 1.0718057022175291e-05,
|
621 |
+
"loss": 0.3472,
|
622 |
+
"step": 850
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 2.4449182658137882,
|
626 |
+
"grad_norm": 10.313027381896973,
|
627 |
+
"learning_rate": 1.0190073917634636e-05,
|
628 |
+
"loss": 0.3668,
|
629 |
+
"step": 860
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 2.473347547974414,
|
633 |
+
"grad_norm": 11.329744338989258,
|
634 |
+
"learning_rate": 9.662090813093982e-06,
|
635 |
+
"loss": 0.3144,
|
636 |
+
"step": 870
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 2.501776830135039,
|
640 |
+
"grad_norm": 11.012008666992188,
|
641 |
+
"learning_rate": 9.134107708553327e-06,
|
642 |
+
"loss": 0.3482,
|
643 |
+
"step": 880
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 2.5302061122956645,
|
647 |
+
"grad_norm": 8.074384689331055,
|
648 |
+
"learning_rate": 8.606124604012672e-06,
|
649 |
+
"loss": 0.3472,
|
650 |
+
"step": 890
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.55863539445629,
|
654 |
+
"grad_norm": 11.275156021118164,
|
655 |
+
"learning_rate": 8.078141499472017e-06,
|
656 |
+
"loss": 0.3527,
|
657 |
+
"step": 900
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 2.587064676616915,
|
661 |
+
"grad_norm": 11.760042190551758,
|
662 |
+
"learning_rate": 7.5501583949313625e-06,
|
663 |
+
"loss": 0.3503,
|
664 |
+
"step": 910
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.6154939587775408,
|
668 |
+
"grad_norm": 9.786343574523926,
|
669 |
+
"learning_rate": 7.022175290390708e-06,
|
670 |
+
"loss": 0.3338,
|
671 |
+
"step": 920
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 2.6439232409381663,
|
675 |
+
"grad_norm": 10.899317741394043,
|
676 |
+
"learning_rate": 6.494192185850054e-06,
|
677 |
+
"loss": 0.3648,
|
678 |
+
"step": 930
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 2.672352523098792,
|
682 |
+
"grad_norm": 9.24864673614502,
|
683 |
+
"learning_rate": 5.966209081309398e-06,
|
684 |
+
"loss": 0.3346,
|
685 |
+
"step": 940
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 2.7007818052594175,
|
689 |
+
"grad_norm": 10.97048282623291,
|
690 |
+
"learning_rate": 5.438225976768744e-06,
|
691 |
+
"loss": 0.338,
|
692 |
+
"step": 950
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.7292110874200426,
|
696 |
+
"grad_norm": 9.632309913635254,
|
697 |
+
"learning_rate": 4.910242872228089e-06,
|
698 |
+
"loss": 0.2918,
|
699 |
+
"step": 960
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.757640369580668,
|
703 |
+
"grad_norm": 9.58181381225586,
|
704 |
+
"learning_rate": 4.382259767687434e-06,
|
705 |
+
"loss": 0.3197,
|
706 |
+
"step": 970
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.7860696517412933,
|
710 |
+
"grad_norm": 11.46987247467041,
|
711 |
+
"learning_rate": 3.854276663146779e-06,
|
712 |
+
"loss": 0.2981,
|
713 |
+
"step": 980
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.814498933901919,
|
717 |
+
"grad_norm": 14.371786117553711,
|
718 |
+
"learning_rate": 3.326293558606125e-06,
|
719 |
+
"loss": 0.327,
|
720 |
+
"step": 990
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.8429282160625444,
|
724 |
+
"grad_norm": 11.488155364990234,
|
725 |
+
"learning_rate": 2.79831045406547e-06,
|
726 |
+
"loss": 0.3284,
|
727 |
+
"step": 1000
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 2.87135749822317,
|
731 |
+
"grad_norm": 13.239998817443848,
|
732 |
+
"learning_rate": 2.2703273495248154e-06,
|
733 |
+
"loss": 0.3365,
|
734 |
+
"step": 1010
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.8997867803837956,
|
738 |
+
"grad_norm": 10.396666526794434,
|
739 |
+
"learning_rate": 1.7423442449841606e-06,
|
740 |
+
"loss": 0.3238,
|
741 |
+
"step": 1020
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.9282160625444207,
|
745 |
+
"grad_norm": 12.260651588439941,
|
746 |
+
"learning_rate": 1.2143611404435059e-06,
|
747 |
+
"loss": 0.3026,
|
748 |
+
"step": 1030
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.9566453447050463,
|
752 |
+
"grad_norm": 9.99549674987793,
|
753 |
+
"learning_rate": 6.863780359028511e-07,
|
754 |
+
"loss": 0.2994,
|
755 |
+
"step": 1040
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 2.9850746268656714,
|
759 |
+
"grad_norm": 9.32156753540039,
|
760 |
+
"learning_rate": 1.5839493136219642e-07,
|
761 |
+
"loss": 0.2639,
|
762 |
+
"step": 1050
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 2.9936034115138592,
|
766 |
+
"eval_accuracy": 0.961,
|
767 |
+
"eval_loss": 0.11085611581802368,
|
768 |
+
"eval_runtime": 15.421,
|
769 |
+
"eval_samples_per_second": 324.234,
|
770 |
+
"eval_steps_per_second": 10.181,
|
771 |
+
"step": 1053
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.9936034115138592,
|
775 |
+
"step": 1053,
|
776 |
+
"total_flos": 1.0638717415807058e+19,
|
777 |
+
"train_loss": 0.580430903835514,
|
778 |
+
"train_runtime": 949.3813,
|
779 |
+
"train_samples_per_second": 142.198,
|
780 |
+
"train_steps_per_second": 1.109
|
781 |
+
}
|
782 |
+
],
|
783 |
+
"logging_steps": 10,
|
784 |
+
"max_steps": 1053,
|
785 |
+
"num_input_tokens_seen": 0,
|
786 |
+
"num_train_epochs": 3,
|
787 |
+
"save_steps": 500,
|
788 |
+
"stateful_callbacks": {
|
789 |
+
"TrainerControl": {
|
790 |
+
"args": {
|
791 |
+
"should_epoch_stop": false,
|
792 |
+
"should_evaluate": false,
|
793 |
+
"should_log": false,
|
794 |
+
"should_save": true,
|
795 |
+
"should_training_stop": true
|
796 |
+
},
|
797 |
+
"attributes": {}
|
798 |
+
}
|
799 |
+
},
|
800 |
+
"total_flos": 1.0638717415807058e+19,
|
801 |
+
"train_batch_size": 32,
|
802 |
+
"trial_name": null,
|
803 |
+
"trial_params": null
|
804 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5176
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e77c0635fe18fdcd029c5f2aacb5b537670fd7be347e30a5738553507f182463
|
3 |
size 5176
|