Commit
•
1fb7dff
1
Parent(s):
6e77e59
End of training
Browse files- README.md +4 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Oct11_08-53-50_ed9849b3ed7e/events.out.tfevents.1728637083.ed9849b3ed7e.2902.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +717 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ library_name: transformers
|
|
3 |
license: apache-2.0
|
4 |
base_model: timm/resnet18.a1_in1k
|
5 |
tags:
|
|
|
|
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- accuracy
|
@@ -16,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# test-timm
|
18 |
|
19 |
-
This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
- Accuracy: 0.6811
|
23 |
|
24 |
## Model description
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: timm/resnet18.a1_in1k
|
5 |
tags:
|
6 |
+
- image-classification
|
7 |
+
- vision
|
8 |
- generated_from_trainer
|
9 |
metrics:
|
10 |
- accuracy
|
|
|
18 |
|
19 |
# test-timm
|
20 |
|
21 |
+
This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on the davanstrien/zenodo-presentations-open-labels dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.5247
|
24 |
- Accuracy: 0.6811
|
25 |
|
26 |
## Model description
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.6811023622047244,
|
4 |
+
"eval_loss": 0.5247489213943481,
|
5 |
+
"eval_runtime": 5.1879,
|
6 |
+
"eval_samples_per_second": 48.96,
|
7 |
+
"eval_steps_per_second": 6.168,
|
8 |
+
"total_flos": 7.24330215447552e+16,
|
9 |
+
"train_loss": 0.5726550849278768,
|
10 |
+
"train_runtime": 239.6067,
|
11 |
+
"train_samples_per_second": 29.945,
|
12 |
+
"train_steps_per_second": 3.756
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.6811023622047244,
|
4 |
+
"eval_loss": 0.5247489213943481,
|
5 |
+
"eval_runtime": 5.1879,
|
6 |
+
"eval_samples_per_second": 48.96,
|
7 |
+
"eval_steps_per_second": 6.168
|
8 |
+
}
|
runs/Oct11_08-53-50_ed9849b3ed7e/events.out.tfevents.1728637083.ed9849b3ed7e.2902.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fdbcd2d160c0477145debee67124f71445cd93528a81d34781e6e288bb1c306a
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"total_flos": 7.24330215447552e+16,
|
4 |
+
"train_loss": 0.5726550849278768,
|
5 |
+
"train_runtime": 239.6067,
|
6 |
+
"train_samples_per_second": 29.945,
|
7 |
+
"train_steps_per_second": 3.756
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,717 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5247489213943481,
|
3 |
+
"best_model_checkpoint": "./beans_outputs/checkpoint-720",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 900,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.05555555555555555,
|
13 |
+
"grad_norm": 3.8575210571289062,
|
14 |
+
"learning_rate": 1.977777777777778e-05,
|
15 |
+
"loss": 0.6949,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.1111111111111111,
|
20 |
+
"grad_norm": 3.2087113857269287,
|
21 |
+
"learning_rate": 1.9555555555555557e-05,
|
22 |
+
"loss": 0.6848,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.16666666666666666,
|
27 |
+
"grad_norm": 2.9537899494171143,
|
28 |
+
"learning_rate": 1.9333333333333333e-05,
|
29 |
+
"loss": 0.6871,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.2222222222222222,
|
34 |
+
"grad_norm": 2.586965560913086,
|
35 |
+
"learning_rate": 1.9111111111111113e-05,
|
36 |
+
"loss": 0.6731,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.2777777777777778,
|
41 |
+
"grad_norm": 3.3346517086029053,
|
42 |
+
"learning_rate": 1.888888888888889e-05,
|
43 |
+
"loss": 0.6728,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.3333333333333333,
|
48 |
+
"grad_norm": 2.4391684532165527,
|
49 |
+
"learning_rate": 1.866666666666667e-05,
|
50 |
+
"loss": 0.6617,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.3888888888888889,
|
55 |
+
"grad_norm": 1.6900883913040161,
|
56 |
+
"learning_rate": 1.8444444444444448e-05,
|
57 |
+
"loss": 0.6671,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.4444444444444444,
|
62 |
+
"grad_norm": 2.3360586166381836,
|
63 |
+
"learning_rate": 1.8222222222222224e-05,
|
64 |
+
"loss": 0.6341,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.5,
|
69 |
+
"grad_norm": 2.310093641281128,
|
70 |
+
"learning_rate": 1.8e-05,
|
71 |
+
"loss": 0.6446,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.5555555555555556,
|
76 |
+
"grad_norm": 2.071892499923706,
|
77 |
+
"learning_rate": 1.7777777777777777e-05,
|
78 |
+
"loss": 0.6478,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.6111111111111112,
|
83 |
+
"grad_norm": 1.9108268022537231,
|
84 |
+
"learning_rate": 1.7555555555555556e-05,
|
85 |
+
"loss": 0.6333,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.6666666666666666,
|
90 |
+
"grad_norm": 1.8000233173370361,
|
91 |
+
"learning_rate": 1.7333333333333336e-05,
|
92 |
+
"loss": 0.6368,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.7222222222222222,
|
97 |
+
"grad_norm": 2.010941982269287,
|
98 |
+
"learning_rate": 1.7111111111111112e-05,
|
99 |
+
"loss": 0.6417,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.7777777777777778,
|
104 |
+
"grad_norm": 2.502824068069458,
|
105 |
+
"learning_rate": 1.688888888888889e-05,
|
106 |
+
"loss": 0.6175,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.8333333333333334,
|
111 |
+
"grad_norm": 2.920900821685791,
|
112 |
+
"learning_rate": 1.6666666666666667e-05,
|
113 |
+
"loss": 0.5894,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.8888888888888888,
|
118 |
+
"grad_norm": 2.418879985809326,
|
119 |
+
"learning_rate": 1.6444444444444444e-05,
|
120 |
+
"loss": 0.6012,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.9444444444444444,
|
125 |
+
"grad_norm": 2.625758171081543,
|
126 |
+
"learning_rate": 1.6222222222222223e-05,
|
127 |
+
"loss": 0.5761,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.0,
|
132 |
+
"grad_norm": 3.7166590690612793,
|
133 |
+
"learning_rate": 1.6000000000000003e-05,
|
134 |
+
"loss": 0.6138,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.0,
|
139 |
+
"eval_accuracy": 0.6811023622047244,
|
140 |
+
"eval_loss": 0.6001904010772705,
|
141 |
+
"eval_runtime": 5.9005,
|
142 |
+
"eval_samples_per_second": 43.047,
|
143 |
+
"eval_steps_per_second": 5.423,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.0555555555555556,
|
148 |
+
"grad_norm": 3.4292004108428955,
|
149 |
+
"learning_rate": 1.577777777777778e-05,
|
150 |
+
"loss": 0.6237,
|
151 |
+
"step": 190
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 1.1111111111111112,
|
155 |
+
"grad_norm": 2.9556570053100586,
|
156 |
+
"learning_rate": 1.555555555555556e-05,
|
157 |
+
"loss": 0.6242,
|
158 |
+
"step": 200
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.1666666666666667,
|
162 |
+
"grad_norm": 2.3123323917388916,
|
163 |
+
"learning_rate": 1.5333333333333334e-05,
|
164 |
+
"loss": 0.6179,
|
165 |
+
"step": 210
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 1.2222222222222223,
|
169 |
+
"grad_norm": 1.728090763092041,
|
170 |
+
"learning_rate": 1.5111111111111112e-05,
|
171 |
+
"loss": 0.6208,
|
172 |
+
"step": 220
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 1.2777777777777777,
|
176 |
+
"grad_norm": 2.110353946685791,
|
177 |
+
"learning_rate": 1.488888888888889e-05,
|
178 |
+
"loss": 0.5744,
|
179 |
+
"step": 230
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.3333333333333333,
|
183 |
+
"grad_norm": 2.0783276557922363,
|
184 |
+
"learning_rate": 1.4666666666666666e-05,
|
185 |
+
"loss": 0.5388,
|
186 |
+
"step": 240
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.3888888888888888,
|
190 |
+
"grad_norm": 2.3175930976867676,
|
191 |
+
"learning_rate": 1.4444444444444446e-05,
|
192 |
+
"loss": 0.5846,
|
193 |
+
"step": 250
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 1.4444444444444444,
|
197 |
+
"grad_norm": 3.0923080444335938,
|
198 |
+
"learning_rate": 1.4222222222222224e-05,
|
199 |
+
"loss": 0.5831,
|
200 |
+
"step": 260
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 1.5,
|
204 |
+
"grad_norm": 1.994885802268982,
|
205 |
+
"learning_rate": 1.4e-05,
|
206 |
+
"loss": 0.5929,
|
207 |
+
"step": 270
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 1.5555555555555556,
|
211 |
+
"grad_norm": 3.28375244140625,
|
212 |
+
"learning_rate": 1.377777777777778e-05,
|
213 |
+
"loss": 0.5965,
|
214 |
+
"step": 280
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 1.6111111111111112,
|
218 |
+
"grad_norm": 2.8813462257385254,
|
219 |
+
"learning_rate": 1.3555555555555557e-05,
|
220 |
+
"loss": 0.5358,
|
221 |
+
"step": 290
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.6666666666666665,
|
225 |
+
"grad_norm": 3.112164258956909,
|
226 |
+
"learning_rate": 1.3333333333333333e-05,
|
227 |
+
"loss": 0.5877,
|
228 |
+
"step": 300
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.7222222222222223,
|
232 |
+
"grad_norm": 1.542144775390625,
|
233 |
+
"learning_rate": 1.3111111111111113e-05,
|
234 |
+
"loss": 0.5485,
|
235 |
+
"step": 310
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 1.7777777777777777,
|
239 |
+
"grad_norm": 2.144716262817383,
|
240 |
+
"learning_rate": 1.288888888888889e-05,
|
241 |
+
"loss": 0.6028,
|
242 |
+
"step": 320
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.8333333333333335,
|
246 |
+
"grad_norm": 2.632028102874756,
|
247 |
+
"learning_rate": 1.2666666666666667e-05,
|
248 |
+
"loss": 0.5295,
|
249 |
+
"step": 330
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.8888888888888888,
|
253 |
+
"grad_norm": 2.2505481243133545,
|
254 |
+
"learning_rate": 1.2444444444444446e-05,
|
255 |
+
"loss": 0.6173,
|
256 |
+
"step": 340
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 1.9444444444444444,
|
260 |
+
"grad_norm": 2.7676846981048584,
|
261 |
+
"learning_rate": 1.2222222222222224e-05,
|
262 |
+
"loss": 0.5421,
|
263 |
+
"step": 350
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.0,
|
267 |
+
"grad_norm": 2.5781171321868896,
|
268 |
+
"learning_rate": 1.2e-05,
|
269 |
+
"loss": 0.5028,
|
270 |
+
"step": 360
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 2.0,
|
274 |
+
"eval_accuracy": 0.6811023622047244,
|
275 |
+
"eval_loss": 0.5528703927993774,
|
276 |
+
"eval_runtime": 4.4862,
|
277 |
+
"eval_samples_per_second": 56.618,
|
278 |
+
"eval_steps_per_second": 7.133,
|
279 |
+
"step": 360
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 2.0555555555555554,
|
283 |
+
"grad_norm": 2.5306832790374756,
|
284 |
+
"learning_rate": 1.177777777777778e-05,
|
285 |
+
"loss": 0.5849,
|
286 |
+
"step": 370
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 2.111111111111111,
|
290 |
+
"grad_norm": 2.1644484996795654,
|
291 |
+
"learning_rate": 1.1555555555555556e-05,
|
292 |
+
"loss": 0.5268,
|
293 |
+
"step": 380
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 2.1666666666666665,
|
297 |
+
"grad_norm": 1.9074407815933228,
|
298 |
+
"learning_rate": 1.1333333333333334e-05,
|
299 |
+
"loss": 0.55,
|
300 |
+
"step": 390
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 2.2222222222222223,
|
304 |
+
"grad_norm": 3.7348294258117676,
|
305 |
+
"learning_rate": 1.1111111111111113e-05,
|
306 |
+
"loss": 0.6125,
|
307 |
+
"step": 400
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 2.2777777777777777,
|
311 |
+
"grad_norm": 2.921757221221924,
|
312 |
+
"learning_rate": 1.088888888888889e-05,
|
313 |
+
"loss": 0.642,
|
314 |
+
"step": 410
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.3333333333333335,
|
318 |
+
"grad_norm": 2.2528910636901855,
|
319 |
+
"learning_rate": 1.0666666666666667e-05,
|
320 |
+
"loss": 0.5009,
|
321 |
+
"step": 420
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 2.388888888888889,
|
325 |
+
"grad_norm": 1.6619905233383179,
|
326 |
+
"learning_rate": 1.0444444444444445e-05,
|
327 |
+
"loss": 0.5158,
|
328 |
+
"step": 430
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 2.4444444444444446,
|
332 |
+
"grad_norm": 3.4696500301361084,
|
333 |
+
"learning_rate": 1.0222222222222223e-05,
|
334 |
+
"loss": 0.6036,
|
335 |
+
"step": 440
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 2.5,
|
339 |
+
"grad_norm": 2.936615467071533,
|
340 |
+
"learning_rate": 1e-05,
|
341 |
+
"loss": 0.5424,
|
342 |
+
"step": 450
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 2.5555555555555554,
|
346 |
+
"grad_norm": 4.1920952796936035,
|
347 |
+
"learning_rate": 9.777777777777779e-06,
|
348 |
+
"loss": 0.5532,
|
349 |
+
"step": 460
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 2.611111111111111,
|
353 |
+
"grad_norm": 2.4296085834503174,
|
354 |
+
"learning_rate": 9.555555555555556e-06,
|
355 |
+
"loss": 0.5436,
|
356 |
+
"step": 470
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 2.6666666666666665,
|
360 |
+
"grad_norm": 2.5725982189178467,
|
361 |
+
"learning_rate": 9.333333333333334e-06,
|
362 |
+
"loss": 0.5015,
|
363 |
+
"step": 480
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 2.7222222222222223,
|
367 |
+
"grad_norm": 4.97006368637085,
|
368 |
+
"learning_rate": 9.111111111111112e-06,
|
369 |
+
"loss": 0.5775,
|
370 |
+
"step": 490
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 2.7777777777777777,
|
374 |
+
"grad_norm": 3.6014504432678223,
|
375 |
+
"learning_rate": 8.888888888888888e-06,
|
376 |
+
"loss": 0.5689,
|
377 |
+
"step": 500
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 2.8333333333333335,
|
381 |
+
"grad_norm": 1.8251533508300781,
|
382 |
+
"learning_rate": 8.666666666666668e-06,
|
383 |
+
"loss": 0.5137,
|
384 |
+
"step": 510
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 2.888888888888889,
|
388 |
+
"grad_norm": 3.503689765930176,
|
389 |
+
"learning_rate": 8.444444444444446e-06,
|
390 |
+
"loss": 0.5827,
|
391 |
+
"step": 520
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 2.9444444444444446,
|
395 |
+
"grad_norm": 2.4786183834075928,
|
396 |
+
"learning_rate": 8.222222222222222e-06,
|
397 |
+
"loss": 0.5202,
|
398 |
+
"step": 530
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 3.0,
|
402 |
+
"grad_norm": 2.0592217445373535,
|
403 |
+
"learning_rate": 8.000000000000001e-06,
|
404 |
+
"loss": 0.5103,
|
405 |
+
"step": 540
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 3.0,
|
409 |
+
"eval_accuracy": 0.6811023622047244,
|
410 |
+
"eval_loss": 0.5325487852096558,
|
411 |
+
"eval_runtime": 5.1901,
|
412 |
+
"eval_samples_per_second": 48.94,
|
413 |
+
"eval_steps_per_second": 6.166,
|
414 |
+
"step": 540
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 3.0555555555555554,
|
418 |
+
"grad_norm": 1.9031552076339722,
|
419 |
+
"learning_rate": 7.77777777777778e-06,
|
420 |
+
"loss": 0.5273,
|
421 |
+
"step": 550
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 3.111111111111111,
|
425 |
+
"grad_norm": 2.656759262084961,
|
426 |
+
"learning_rate": 7.555555555555556e-06,
|
427 |
+
"loss": 0.5824,
|
428 |
+
"step": 560
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 3.1666666666666665,
|
432 |
+
"grad_norm": 1.8883424997329712,
|
433 |
+
"learning_rate": 7.333333333333333e-06,
|
434 |
+
"loss": 0.5653,
|
435 |
+
"step": 570
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 3.2222222222222223,
|
439 |
+
"grad_norm": 2.118739128112793,
|
440 |
+
"learning_rate": 7.111111111111112e-06,
|
441 |
+
"loss": 0.5057,
|
442 |
+
"step": 580
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 3.2777777777777777,
|
446 |
+
"grad_norm": 1.90389883518219,
|
447 |
+
"learning_rate": 6.88888888888889e-06,
|
448 |
+
"loss": 0.6118,
|
449 |
+
"step": 590
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 3.3333333333333335,
|
453 |
+
"grad_norm": 1.8850902318954468,
|
454 |
+
"learning_rate": 6.666666666666667e-06,
|
455 |
+
"loss": 0.5682,
|
456 |
+
"step": 600
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 3.388888888888889,
|
460 |
+
"grad_norm": 5.424034118652344,
|
461 |
+
"learning_rate": 6.444444444444445e-06,
|
462 |
+
"loss": 0.5501,
|
463 |
+
"step": 610
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 3.4444444444444446,
|
467 |
+
"grad_norm": 6.140316963195801,
|
468 |
+
"learning_rate": 6.222222222222223e-06,
|
469 |
+
"loss": 0.6259,
|
470 |
+
"step": 620
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 3.5,
|
474 |
+
"grad_norm": 2.766357183456421,
|
475 |
+
"learning_rate": 6e-06,
|
476 |
+
"loss": 0.5077,
|
477 |
+
"step": 630
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 3.5555555555555554,
|
481 |
+
"grad_norm": 2.0831124782562256,
|
482 |
+
"learning_rate": 5.777777777777778e-06,
|
483 |
+
"loss": 0.5609,
|
484 |
+
"step": 640
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 3.611111111111111,
|
488 |
+
"grad_norm": 1.9845359325408936,
|
489 |
+
"learning_rate": 5.555555555555557e-06,
|
490 |
+
"loss": 0.4875,
|
491 |
+
"step": 650
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 3.6666666666666665,
|
495 |
+
"grad_norm": 1.5764096975326538,
|
496 |
+
"learning_rate": 5.333333333333334e-06,
|
497 |
+
"loss": 0.4979,
|
498 |
+
"step": 660
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 3.7222222222222223,
|
502 |
+
"grad_norm": 3.984339952468872,
|
503 |
+
"learning_rate": 5.1111111111111115e-06,
|
504 |
+
"loss": 0.5522,
|
505 |
+
"step": 670
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 3.7777777777777777,
|
509 |
+
"grad_norm": 2.4655332565307617,
|
510 |
+
"learning_rate": 4.888888888888889e-06,
|
511 |
+
"loss": 0.5476,
|
512 |
+
"step": 680
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 3.8333333333333335,
|
516 |
+
"grad_norm": 2.9143753051757812,
|
517 |
+
"learning_rate": 4.666666666666667e-06,
|
518 |
+
"loss": 0.5901,
|
519 |
+
"step": 690
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 3.888888888888889,
|
523 |
+
"grad_norm": 2.023881435394287,
|
524 |
+
"learning_rate": 4.444444444444444e-06,
|
525 |
+
"loss": 0.5842,
|
526 |
+
"step": 700
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 3.9444444444444446,
|
530 |
+
"grad_norm": 2.730069398880005,
|
531 |
+
"learning_rate": 4.222222222222223e-06,
|
532 |
+
"loss": 0.5443,
|
533 |
+
"step": 710
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 4.0,
|
537 |
+
"grad_norm": 2.496239185333252,
|
538 |
+
"learning_rate": 4.000000000000001e-06,
|
539 |
+
"loss": 0.4892,
|
540 |
+
"step": 720
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 4.0,
|
544 |
+
"eval_accuracy": 0.6811023622047244,
|
545 |
+
"eval_loss": 0.5247489213943481,
|
546 |
+
"eval_runtime": 4.9059,
|
547 |
+
"eval_samples_per_second": 51.774,
|
548 |
+
"eval_steps_per_second": 6.523,
|
549 |
+
"step": 720
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 4.055555555555555,
|
553 |
+
"grad_norm": 1.9344916343688965,
|
554 |
+
"learning_rate": 3.777777777777778e-06,
|
555 |
+
"loss": 0.5017,
|
556 |
+
"step": 730
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 4.111111111111111,
|
560 |
+
"grad_norm": 3.2695019245147705,
|
561 |
+
"learning_rate": 3.555555555555556e-06,
|
562 |
+
"loss": 0.5974,
|
563 |
+
"step": 740
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 4.166666666666667,
|
567 |
+
"grad_norm": 4.992809772491455,
|
568 |
+
"learning_rate": 3.3333333333333333e-06,
|
569 |
+
"loss": 0.5307,
|
570 |
+
"step": 750
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 4.222222222222222,
|
574 |
+
"grad_norm": 3.5359721183776855,
|
575 |
+
"learning_rate": 3.1111111111111116e-06,
|
576 |
+
"loss": 0.5372,
|
577 |
+
"step": 760
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 4.277777777777778,
|
581 |
+
"grad_norm": 2.123009204864502,
|
582 |
+
"learning_rate": 2.888888888888889e-06,
|
583 |
+
"loss": 0.49,
|
584 |
+
"step": 770
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 4.333333333333333,
|
588 |
+
"grad_norm": 2.8134477138519287,
|
589 |
+
"learning_rate": 2.666666666666667e-06,
|
590 |
+
"loss": 0.4749,
|
591 |
+
"step": 780
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 4.388888888888889,
|
595 |
+
"grad_norm": 2.195077896118164,
|
596 |
+
"learning_rate": 2.4444444444444447e-06,
|
597 |
+
"loss": 0.5876,
|
598 |
+
"step": 790
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 4.444444444444445,
|
602 |
+
"grad_norm": 4.078568935394287,
|
603 |
+
"learning_rate": 2.222222222222222e-06,
|
604 |
+
"loss": 0.5609,
|
605 |
+
"step": 800
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 4.5,
|
609 |
+
"grad_norm": 2.6274867057800293,
|
610 |
+
"learning_rate": 2.0000000000000003e-06,
|
611 |
+
"loss": 0.5392,
|
612 |
+
"step": 810
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 4.555555555555555,
|
616 |
+
"grad_norm": 1.7526293992996216,
|
617 |
+
"learning_rate": 1.777777777777778e-06,
|
618 |
+
"loss": 0.4965,
|
619 |
+
"step": 820
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 4.611111111111111,
|
623 |
+
"grad_norm": 2.3001506328582764,
|
624 |
+
"learning_rate": 1.5555555555555558e-06,
|
625 |
+
"loss": 0.5345,
|
626 |
+
"step": 830
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 4.666666666666667,
|
630 |
+
"grad_norm": 2.5624406337738037,
|
631 |
+
"learning_rate": 1.3333333333333334e-06,
|
632 |
+
"loss": 0.5765,
|
633 |
+
"step": 840
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 4.722222222222222,
|
637 |
+
"grad_norm": 2.199018716812134,
|
638 |
+
"learning_rate": 1.111111111111111e-06,
|
639 |
+
"loss": 0.5547,
|
640 |
+
"step": 850
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 4.777777777777778,
|
644 |
+
"grad_norm": 3.756605625152588,
|
645 |
+
"learning_rate": 8.88888888888889e-07,
|
646 |
+
"loss": 0.5021,
|
647 |
+
"step": 860
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 4.833333333333333,
|
651 |
+
"grad_norm": 1.6385400295257568,
|
652 |
+
"learning_rate": 6.666666666666667e-07,
|
653 |
+
"loss": 0.5858,
|
654 |
+
"step": 870
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 4.888888888888889,
|
658 |
+
"grad_norm": 5.481604099273682,
|
659 |
+
"learning_rate": 4.444444444444445e-07,
|
660 |
+
"loss": 0.5062,
|
661 |
+
"step": 880
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 4.944444444444445,
|
665 |
+
"grad_norm": 2.554666042327881,
|
666 |
+
"learning_rate": 2.2222222222222224e-07,
|
667 |
+
"loss": 0.5355,
|
668 |
+
"step": 890
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 5.0,
|
672 |
+
"grad_norm": 5.525686264038086,
|
673 |
+
"learning_rate": 0.0,
|
674 |
+
"loss": 0.5779,
|
675 |
+
"step": 900
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 5.0,
|
679 |
+
"eval_accuracy": 0.6811023622047244,
|
680 |
+
"eval_loss": 0.530208170413971,
|
681 |
+
"eval_runtime": 5.531,
|
682 |
+
"eval_samples_per_second": 45.923,
|
683 |
+
"eval_steps_per_second": 5.786,
|
684 |
+
"step": 900
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 5.0,
|
688 |
+
"step": 900,
|
689 |
+
"total_flos": 7.24330215447552e+16,
|
690 |
+
"train_loss": 0.5726550849278768,
|
691 |
+
"train_runtime": 239.6067,
|
692 |
+
"train_samples_per_second": 29.945,
|
693 |
+
"train_steps_per_second": 3.756
|
694 |
+
}
|
695 |
+
],
|
696 |
+
"logging_steps": 10,
|
697 |
+
"max_steps": 900,
|
698 |
+
"num_input_tokens_seen": 0,
|
699 |
+
"num_train_epochs": 5,
|
700 |
+
"save_steps": 500,
|
701 |
+
"stateful_callbacks": {
|
702 |
+
"TrainerControl": {
|
703 |
+
"args": {
|
704 |
+
"should_epoch_stop": false,
|
705 |
+
"should_evaluate": false,
|
706 |
+
"should_log": false,
|
707 |
+
"should_save": true,
|
708 |
+
"should_training_stop": true
|
709 |
+
},
|
710 |
+
"attributes": {}
|
711 |
+
}
|
712 |
+
},
|
713 |
+
"total_flos": 7.24330215447552e+16,
|
714 |
+
"train_batch_size": 8,
|
715 |
+
"trial_name": null,
|
716 |
+
"trial_params": null
|
717 |
+
}
|