update model with newer version
#2
by
seanfarrell
- opened
- model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +60 -103
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 430935892
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4d8a1fc823d3ba0d45afc06b1105997300ad38030351b439d85610fa9fa38a75
|
3 |
size 430935892
|
optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 861991482
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eed95c6f0459164abd29b411040228bdd2d3ab9ef8949ba8423fab4ddfecad90
|
3 |
size 861991482
|
rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4679e8a1fa9d31242916d045260107779d3bf18ad04f68edc0e2a86739d10fbd
|
3 |
size 14244
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73ec52a655b60bd9b36d5e598a010f1db1893ca2657401a77e3d62edf772ae6f
|
3 |
size 1064
|
trainer_state.json
CHANGED
@@ -1,164 +1,121 @@
|
|
1 |
{
|
2 |
-
"best_global_step":
|
3 |
-
"best_metric": 0.
|
4 |
-
"best_model_checkpoint": "projects/PetBERT_annonymisation/data/case_sensitive/model/checkpoint-
|
5 |
-
"epoch":
|
6 |
"eval_steps": 500,
|
7 |
-
"global_step":
|
8 |
"is_hyper_param_search": false,
|
9 |
"is_local_process_zero": true,
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
"epoch": 0,
|
14 |
-
"eval_f1": 0.
|
15 |
-
"eval_loss": 2.
|
16 |
-
"eval_precision": 0.
|
17 |
-
"eval_recall": 0.
|
18 |
-
"eval_runtime": 23.
|
19 |
-
"eval_samples_per_second": 139.
|
20 |
-
"eval_steps_per_second": 4.
|
21 |
"step": 0
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.7267441860465116,
|
25 |
-
"grad_norm": 0.
|
26 |
"learning_rate": 4.996373546511628e-05,
|
27 |
-
"loss": 0.
|
28 |
"step": 500
|
29 |
},
|
30 |
{
|
31 |
"epoch": 1.0,
|
32 |
-
"eval_f1": 0.
|
33 |
-
"eval_loss": 0.
|
34 |
-
"eval_precision": 0.
|
35 |
-
"eval_recall": 0.
|
36 |
-
"eval_runtime": 24.
|
37 |
-
"eval_samples_per_second": 133.
|
38 |
-
"eval_steps_per_second": 4.
|
39 |
"step": 688
|
40 |
},
|
41 |
{
|
42 |
"epoch": 1.4534883720930232,
|
43 |
-
"grad_norm": 0.
|
44 |
"learning_rate": 4.992739825581396e-05,
|
45 |
-
"loss": 0.
|
46 |
"step": 1000
|
47 |
},
|
48 |
{
|
49 |
"epoch": 2.0,
|
50 |
-
"eval_f1": 0.
|
51 |
-
"eval_loss": 0.
|
52 |
-
"eval_precision": 0.
|
53 |
-
"eval_recall": 0.
|
54 |
-
"eval_runtime":
|
55 |
-
"eval_samples_per_second":
|
56 |
-
"eval_steps_per_second": 4.
|
57 |
"step": 1376
|
58 |
},
|
59 |
{
|
60 |
"epoch": 2.1802325581395348,
|
61 |
-
"grad_norm": 0.
|
62 |
"learning_rate": 4.989106104651163e-05,
|
63 |
-
"loss": 0.
|
64 |
"step": 1500
|
65 |
},
|
66 |
{
|
67 |
"epoch": 2.9069767441860463,
|
68 |
-
"grad_norm": 0.
|
69 |
"learning_rate": 4.985472383720931e-05,
|
70 |
-
"loss": 0.
|
71 |
"step": 2000
|
72 |
},
|
73 |
{
|
74 |
"epoch": 3.0,
|
75 |
-
"eval_f1": 0.
|
76 |
-
"eval_loss": 0.
|
77 |
-
"eval_precision": 0.
|
78 |
-
"eval_recall": 0.
|
79 |
-
"eval_runtime": 24.
|
80 |
-
"eval_samples_per_second": 133.
|
81 |
-
"eval_steps_per_second": 4.
|
82 |
"step": 2064
|
83 |
},
|
84 |
{
|
85 |
"epoch": 3.633720930232558,
|
86 |
-
"grad_norm": 0.
|
87 |
"learning_rate": 4.981838662790698e-05,
|
88 |
-
"loss": 0.
|
89 |
"step": 2500
|
90 |
},
|
91 |
{
|
92 |
"epoch": 4.0,
|
93 |
-
"eval_f1": 0.
|
94 |
-
"eval_loss": 0.
|
95 |
-
"eval_precision": 0.
|
96 |
-
"eval_recall": 0.
|
97 |
-
"eval_runtime": 24.
|
98 |
-
"eval_samples_per_second": 133.
|
99 |
-
"eval_steps_per_second": 4.
|
100 |
"step": 2752
|
101 |
},
|
102 |
{
|
103 |
"epoch": 4.3604651162790695,
|
104 |
-
"grad_norm": 0.
|
105 |
"learning_rate": 4.978204941860465e-05,
|
106 |
-
"loss": 0.
|
107 |
"step": 3000
|
108 |
},
|
109 |
{
|
110 |
"epoch": 5.0,
|
111 |
-
"eval_f1": 0.
|
112 |
-
"eval_loss": 0.
|
113 |
-
"eval_precision": 0.
|
114 |
-
"eval_recall": 0.
|
115 |
-
"eval_runtime": 24.
|
116 |
-
"eval_samples_per_second": 133.
|
117 |
-
"eval_steps_per_second": 4.
|
118 |
"step": 3440
|
119 |
-
},
|
120 |
-
{
|
121 |
-
"epoch": 5.087209302325581,
|
122 |
-
"grad_norm": 0.09036080539226532,
|
123 |
-
"learning_rate": 4.974571220930232e-05,
|
124 |
-
"loss": 0.0011,
|
125 |
-
"step": 3500
|
126 |
-
},
|
127 |
-
{
|
128 |
-
"epoch": 5.813953488372093,
|
129 |
-
"grad_norm": 0.08693202584981918,
|
130 |
-
"learning_rate": 4.9709375e-05,
|
131 |
-
"loss": 0.0012,
|
132 |
-
"step": 4000
|
133 |
-
},
|
134 |
-
{
|
135 |
-
"epoch": 6.0,
|
136 |
-
"eval_f1": 0.9238025924793921,
|
137 |
-
"eval_loss": 0.008721762336790562,
|
138 |
-
"eval_precision": 0.9375153926584012,
|
139 |
-
"eval_recall": 0.917450432310493,
|
140 |
-
"eval_runtime": 24.7949,
|
141 |
-
"eval_samples_per_second": 133.656,
|
142 |
-
"eval_steps_per_second": 4.194,
|
143 |
-
"step": 4128
|
144 |
-
},
|
145 |
-
{
|
146 |
-
"epoch": 6.540697674418604,
|
147 |
-
"grad_norm": 0.03196759149432182,
|
148 |
-
"learning_rate": 4.967303779069767e-05,
|
149 |
-
"loss": 0.0013,
|
150 |
-
"step": 4500
|
151 |
-
},
|
152 |
-
{
|
153 |
-
"epoch": 7.0,
|
154 |
-
"eval_f1": 0.9309400750123076,
|
155 |
-
"eval_loss": 0.009504728950560093,
|
156 |
-
"eval_precision": 0.9228721238354496,
|
157 |
-
"eval_recall": 0.9401722615087472,
|
158 |
-
"eval_runtime": 24.8542,
|
159 |
-
"eval_samples_per_second": 133.338,
|
160 |
-
"eval_steps_per_second": 4.184,
|
161 |
-
"step": 4816
|
162 |
}
|
163 |
],
|
164 |
"logging_steps": 500,
|
@@ -187,7 +144,7 @@
|
|
187 |
"attributes": {}
|
188 |
}
|
189 |
},
|
190 |
-
"total_flos":
|
191 |
"train_batch_size": 32,
|
192 |
"trial_name": null,
|
193 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_global_step": 1376,
|
3 |
+
"best_metric": 0.008029412478208542,
|
4 |
+
"best_model_checkpoint": "projects/PetBERT_annonymisation/data/case_sensitive/model/checkpoint-1376",
|
5 |
+
"epoch": 5.0,
|
6 |
"eval_steps": 500,
|
7 |
+
"global_step": 3440,
|
8 |
"is_hyper_param_search": false,
|
9 |
"is_local_process_zero": true,
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
"epoch": 0,
|
14 |
+
"eval_f1": 0.010973861448813302,
|
15 |
+
"eval_loss": 2.4063162803649902,
|
16 |
+
"eval_precision": 0.09108980806958722,
|
17 |
+
"eval_recall": 0.10473207318294019,
|
18 |
+
"eval_runtime": 23.7722,
|
19 |
+
"eval_samples_per_second": 139.407,
|
20 |
+
"eval_steps_per_second": 4.375,
|
21 |
"step": 0
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.7267441860465116,
|
25 |
+
"grad_norm": 0.2666139304637909,
|
26 |
"learning_rate": 4.996373546511628e-05,
|
27 |
+
"loss": 0.0518,
|
28 |
"step": 500
|
29 |
},
|
30 |
{
|
31 |
"epoch": 1.0,
|
32 |
+
"eval_f1": 0.9198586422350306,
|
33 |
+
"eval_loss": 0.010010140016674995,
|
34 |
+
"eval_precision": 0.9136306910527949,
|
35 |
+
"eval_recall": 0.9281047546302535,
|
36 |
+
"eval_runtime": 24.8489,
|
37 |
+
"eval_samples_per_second": 133.366,
|
38 |
+
"eval_steps_per_second": 4.185,
|
39 |
"step": 688
|
40 |
},
|
41 |
{
|
42 |
"epoch": 1.4534883720930232,
|
43 |
+
"grad_norm": 0.11741874366998672,
|
44 |
"learning_rate": 4.992739825581396e-05,
|
45 |
+
"loss": 0.0036,
|
46 |
"step": 1000
|
47 |
},
|
48 |
{
|
49 |
"epoch": 2.0,
|
50 |
+
"eval_f1": 0.9300254346144702,
|
51 |
+
"eval_loss": 0.008029412478208542,
|
52 |
+
"eval_precision": 0.9130114164496201,
|
53 |
+
"eval_recall": 0.9489397415434179,
|
54 |
+
"eval_runtime": 25.1412,
|
55 |
+
"eval_samples_per_second": 131.815,
|
56 |
+
"eval_steps_per_second": 4.137,
|
57 |
"step": 1376
|
58 |
},
|
59 |
{
|
60 |
"epoch": 2.1802325581395348,
|
61 |
+
"grad_norm": 0.3377048373222351,
|
62 |
"learning_rate": 4.989106104651163e-05,
|
63 |
+
"loss": 0.0026,
|
64 |
"step": 1500
|
65 |
},
|
66 |
{
|
67 |
"epoch": 2.9069767441860463,
|
68 |
+
"grad_norm": 0.2929118573665619,
|
69 |
"learning_rate": 4.985472383720931e-05,
|
70 |
+
"loss": 0.0011,
|
71 |
"step": 2000
|
72 |
},
|
73 |
{
|
74 |
"epoch": 3.0,
|
75 |
+
"eval_f1": 0.9402795283929368,
|
76 |
+
"eval_loss": 0.01124291867017746,
|
77 |
+
"eval_precision": 0.9422754585534239,
|
78 |
+
"eval_recall": 0.9386206401984958,
|
79 |
+
"eval_runtime": 24.8815,
|
80 |
+
"eval_samples_per_second": 133.191,
|
81 |
+
"eval_steps_per_second": 4.18,
|
82 |
"step": 2064
|
83 |
},
|
84 |
{
|
85 |
"epoch": 3.633720930232558,
|
86 |
+
"grad_norm": 0.002858501160517335,
|
87 |
"learning_rate": 4.981838662790698e-05,
|
88 |
+
"loss": 0.0012,
|
89 |
"step": 2500
|
90 |
},
|
91 |
{
|
92 |
"epoch": 4.0,
|
93 |
+
"eval_f1": 0.9321076846329125,
|
94 |
+
"eval_loss": 0.011350538581609726,
|
95 |
+
"eval_precision": 0.9585579423470411,
|
96 |
+
"eval_recall": 0.9092514508781232,
|
97 |
+
"eval_runtime": 24.8844,
|
98 |
+
"eval_samples_per_second": 133.176,
|
99 |
+
"eval_steps_per_second": 4.179,
|
100 |
"step": 2752
|
101 |
},
|
102 |
{
|
103 |
"epoch": 4.3604651162790695,
|
104 |
+
"grad_norm": 0.3254820704460144,
|
105 |
"learning_rate": 4.978204941860465e-05,
|
106 |
+
"loss": 0.001,
|
107 |
"step": 3000
|
108 |
},
|
109 |
{
|
110 |
"epoch": 5.0,
|
111 |
+
"eval_f1": 0.9375959937426187,
|
112 |
+
"eval_loss": 0.012251886539161205,
|
113 |
+
"eval_precision": 0.9347887957568951,
|
114 |
+
"eval_recall": 0.9407576824824448,
|
115 |
+
"eval_runtime": 24.848,
|
116 |
+
"eval_samples_per_second": 133.371,
|
117 |
+
"eval_steps_per_second": 4.185,
|
118 |
"step": 3440
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
119 |
}
|
120 |
],
|
121 |
"logging_steps": 500,
|
|
|
144 |
"attributes": {}
|
145 |
}
|
146 |
},
|
147 |
+
"total_flos": 2.874236880509952e+16,
|
148 |
"train_batch_size": 32,
|
149 |
"trial_name": null,
|
150 |
"trial_params": null
|