superbigtree
commited on
Commit
•
7efda69
1
Parent(s):
57f8d44
End of training
Browse files- README.md +4 -2
- all_results.json +8 -8
- eval_results.json +4 -4
- runs/Feb12_18-25-46_28fc6ffbaa77/events.out.tfevents.1707765211.28fc6ffbaa77.4275.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +19 -61
README.md
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
datasets:
|
5 |
-
- coco_dataset_script
|
6 |
model-index:
|
7 |
- name: clip-roberta-finetuned
|
8 |
results: []
|
@@ -13,7 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# clip-roberta-finetuned
|
15 |
|
16 |
-
This model was trained from scratch on the coco_dataset_script dataset.
|
|
|
|
|
17 |
|
18 |
## Model description
|
19 |
|
|
|
2 |
tags:
|
3 |
- generated_from_trainer
|
4 |
datasets:
|
5 |
+
- ydshieh/coco_dataset_script
|
6 |
model-index:
|
7 |
- name: clip-roberta-finetuned
|
8 |
results: []
|
|
|
13 |
|
14 |
# clip-roberta-finetuned
|
15 |
|
16 |
+
This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.5655
|
19 |
|
20 |
## Model description
|
21 |
|
all_results.json
CHANGED
@@ -1,11 +1,11 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"eval_loss": 1.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second": 2.
|
7 |
-
"train_loss": 0.
|
8 |
-
"train_runtime":
|
9 |
-
"train_samples_per_second":
|
10 |
-
"train_steps_per_second": 1.
|
11 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"eval_loss": 1.5654611587524414,
|
4 |
+
"eval_runtime": 22.7529,
|
5 |
+
"eval_samples_per_second": 1099.377,
|
6 |
+
"eval_steps_per_second": 2.154,
|
7 |
+
"train_loss": 0.31381386621600615,
|
8 |
+
"train_runtime": 2692.8552,
|
9 |
+
"train_samples_per_second": 659.248,
|
10 |
+
"train_steps_per_second": 1.288
|
11 |
}
|
eval_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"eval_loss": 1.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples_per_second":
|
6 |
-
"eval_steps_per_second": 2.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"eval_loss": 1.5654611587524414,
|
4 |
+
"eval_runtime": 22.7529,
|
5 |
+
"eval_samples_per_second": 1099.377,
|
6 |
+
"eval_steps_per_second": 2.154
|
7 |
}
|
runs/Feb12_18-25-46_28fc6ffbaa77/events.out.tfevents.1707765211.28fc6ffbaa77.4275.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:47e3771d04fd0a366483fcde57ee02e6f32df88f6fd84078ca4acf3abcd48b9f
|
3 |
+
size 359
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 1.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"train_loss": 0.31381386621600615,
|
4 |
+
"train_runtime": 2692.8552,
|
5 |
+
"train_samples_per_second": 659.248,
|
6 |
+
"train_steps_per_second": 1.288
|
7 |
}
|
trainer_state.json
CHANGED
@@ -3,101 +3,59 @@
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 3.0,
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
-
{
|
12 |
-
"epoch": 0.22,
|
13 |
-
"learning_rate": 4.639561707035756e-05,
|
14 |
-
"loss": 0.9035,
|
15 |
-
"step": 500
|
16 |
-
},
|
17 |
{
|
18 |
"epoch": 0.43,
|
19 |
"learning_rate": 4.2791234140715114e-05,
|
20 |
-
"loss": 0.
|
21 |
-
"step":
|
22 |
-
},
|
23 |
-
{
|
24 |
-
"epoch": 0.65,
|
25 |
-
"learning_rate": 3.9186851211072664e-05,
|
26 |
-
"loss": 0.4342,
|
27 |
-
"step": 1500
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.87,
|
31 |
"learning_rate": 3.558246828143022e-05,
|
32 |
-
"loss": 0.
|
33 |
-
"step":
|
34 |
-
},
|
35 |
-
{
|
36 |
-
"epoch": 1.08,
|
37 |
-
"learning_rate": 3.1978085351787776e-05,
|
38 |
-
"loss": 0.3272,
|
39 |
-
"step": 2500
|
40 |
},
|
41 |
{
|
42 |
"epoch": 1.3,
|
43 |
"learning_rate": 2.8373702422145332e-05,
|
44 |
-
"loss": 0.
|
45 |
-
"step":
|
46 |
-
},
|
47 |
-
{
|
48 |
-
"epoch": 1.51,
|
49 |
-
"learning_rate": 2.4769319492502884e-05,
|
50 |
-
"loss": 0.2623,
|
51 |
-
"step": 3500
|
52 |
},
|
53 |
{
|
54 |
"epoch": 1.73,
|
55 |
"learning_rate": 2.116493656286044e-05,
|
56 |
-
"loss": 0.
|
57 |
-
"step":
|
58 |
-
},
|
59 |
-
{
|
60 |
-
"epoch": 1.95,
|
61 |
-
"learning_rate": 1.7560553633217993e-05,
|
62 |
-
"loss": 0.2301,
|
63 |
-
"step": 4500
|
64 |
},
|
65 |
{
|
66 |
"epoch": 2.16,
|
67 |
"learning_rate": 1.395617070357555e-05,
|
68 |
-
"loss": 0.
|
69 |
-
"step":
|
70 |
-
},
|
71 |
-
{
|
72 |
-
"epoch": 2.38,
|
73 |
-
"learning_rate": 1.0351787773933102e-05,
|
74 |
-
"loss": 0.1698,
|
75 |
-
"step": 5500
|
76 |
},
|
77 |
{
|
78 |
"epoch": 2.6,
|
79 |
"learning_rate": 6.747404844290659e-06,
|
80 |
-
"loss": 0.
|
81 |
-
"step":
|
82 |
-
},
|
83 |
-
{
|
84 |
-
"epoch": 2.81,
|
85 |
-
"learning_rate": 3.143021914648212e-06,
|
86 |
-
"loss": 0.1545,
|
87 |
-
"step": 6500
|
88 |
},
|
89 |
{
|
90 |
"epoch": 3.0,
|
91 |
-
"step":
|
92 |
"total_flos": 2.370754172808069e+17,
|
93 |
-
"train_loss": 0.
|
94 |
-
"train_runtime":
|
95 |
-
"train_samples_per_second":
|
96 |
-
"train_steps_per_second": 1.
|
97 |
}
|
98 |
],
|
99 |
"logging_steps": 500,
|
100 |
-
"max_steps":
|
101 |
"num_input_tokens_seen": 0,
|
102 |
"num_train_epochs": 3,
|
103 |
"save_steps": 500,
|
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 3.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 3468,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
{
|
12 |
"epoch": 0.43,
|
13 |
"learning_rate": 4.2791234140715114e-05,
|
14 |
+
"loss": 0.725,
|
15 |
+
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.87,
|
19 |
"learning_rate": 3.558246828143022e-05,
|
20 |
+
"loss": 0.3879,
|
21 |
+
"step": 1000
|
|
|
|
|
|
|
|
|
|
|
|
|
22 |
},
|
23 |
{
|
24 |
"epoch": 1.3,
|
25 |
"learning_rate": 2.8373702422145332e-05,
|
26 |
+
"loss": 0.2897,
|
27 |
+
"step": 1500
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
},
|
29 |
{
|
30 |
"epoch": 1.73,
|
31 |
"learning_rate": 2.116493656286044e-05,
|
32 |
+
"loss": 0.2463,
|
33 |
+
"step": 2000
|
|
|
|
|
|
|
|
|
|
|
|
|
34 |
},
|
35 |
{
|
36 |
"epoch": 2.16,
|
37 |
"learning_rate": 1.395617070357555e-05,
|
38 |
+
"loss": 0.2074,
|
39 |
+
"step": 2500
|
|
|
|
|
|
|
|
|
|
|
|
|
40 |
},
|
41 |
{
|
42 |
"epoch": 2.6,
|
43 |
"learning_rate": 6.747404844290659e-06,
|
44 |
+
"loss": 0.1688,
|
45 |
+
"step": 3000
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
},
|
47 |
{
|
48 |
"epoch": 3.0,
|
49 |
+
"step": 3468,
|
50 |
"total_flos": 2.370754172808069e+17,
|
51 |
+
"train_loss": 0.31381386621600615,
|
52 |
+
"train_runtime": 2692.8552,
|
53 |
+
"train_samples_per_second": 659.248,
|
54 |
+
"train_steps_per_second": 1.288
|
55 |
}
|
56 |
],
|
57 |
"logging_steps": 500,
|
58 |
+
"max_steps": 3468,
|
59 |
"num_input_tokens_seen": 0,
|
60 |
"num_train_epochs": 3,
|
61 |
"save_steps": 500,
|