End of training
Browse files- README.md +3 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +30 -78
README.md
CHANGED
@@ -23,7 +23,7 @@ model-index:
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
-
value:
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
33 |
|
34 |
This model is a fine-tuned version of [Marqo/nsfw-image-detection-384](https://huggingface.co/Marqo/nsfw-image-detection-384) on the imagefolder dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
-
- Loss: 0.
|
37 |
-
- Accuracy:
|
38 |
|
39 |
## Model description
|
40 |
|
|
|
23 |
metrics:
|
24 |
- name: Accuracy
|
25 |
type: accuracy
|
26 |
+
value: 0.999
|
27 |
---
|
28 |
|
29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
33 |
|
34 |
This model is a fine-tuned version of [Marqo/nsfw-image-detection-384](https://huggingface.co/Marqo/nsfw-image-detection-384) on the imagefolder dataset.
|
35 |
It achieves the following results on the evaluation set:
|
36 |
+
- Loss: 0.0041
|
37 |
+
- Accuracy: 0.999
|
38 |
|
39 |
## Model description
|
40 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 28.
|
6 |
-
"eval_samples_per_second": 35.
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 1.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.5005065856129685,
|
3 |
+
"eval_accuracy": 0.999,
|
4 |
+
"eval_loss": 0.004140933509916067,
|
5 |
+
"eval_runtime": 28.4475,
|
6 |
+
"eval_samples_per_second": 35.152,
|
7 |
+
"eval_steps_per_second": 2.215,
|
8 |
+
"total_flos": 3.5197712872833024e+17,
|
9 |
+
"train_loss": 0.002488548292009352,
|
10 |
+
"train_runtime": 874.5228,
|
11 |
+
"train_samples_per_second": 27.076,
|
12 |
+
"train_steps_per_second": 1.693
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 28.
|
6 |
-
"eval_samples_per_second": 35.
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.5005065856129685,
|
3 |
+
"eval_accuracy": 0.999,
|
4 |
+
"eval_loss": 0.004140933509916067,
|
5 |
+
"eval_runtime": 28.4475,
|
6 |
+
"eval_samples_per_second": 35.152,
|
7 |
+
"eval_steps_per_second": 2.215
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 1.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.5005065856129685,
|
3 |
+
"total_flos": 3.5197712872833024e+17,
|
4 |
+
"train_loss": 0.002488548292009352,
|
5 |
+
"train_runtime": 874.5228,
|
6 |
+
"train_samples_per_second": 27.076,
|
7 |
+
"train_steps_per_second": 1.693
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,108 +1,60 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint":
|
4 |
-
"epoch":
|
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": 0.5065856129685917,
|
13 |
-
"grad_norm": 0.
|
14 |
-
"learning_rate":
|
15 |
-
"loss": 0.
|
16 |
"step": 500
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.5065856129685917,
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime": 27.
|
23 |
-
"eval_samples_per_second": 36.
|
24 |
-
"eval_steps_per_second":
|
25 |
"step": 500
|
26 |
},
|
27 |
{
|
28 |
"epoch": 1.0131712259371835,
|
29 |
-
"grad_norm": 0.
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 0.
|
32 |
"step": 1000
|
33 |
},
|
34 |
{
|
35 |
"epoch": 1.0131712259371835,
|
36 |
"eval_accuracy": 1.0,
|
37 |
-
"eval_loss": 0.
|
38 |
-
"eval_runtime": 27.
|
39 |
-
"eval_samples_per_second": 36.
|
40 |
-
"eval_steps_per_second":
|
41 |
"step": 1000
|
42 |
},
|
43 |
{
|
44 |
-
"epoch": 1.
|
45 |
-
"
|
46 |
-
"
|
47 |
-
"
|
48 |
-
"
|
49 |
-
|
50 |
-
|
51 |
-
"epoch": 1.5197568389057752,
|
52 |
-
"eval_accuracy": 1.0,
|
53 |
-
"eval_loss": 9.533474803902209e-05,
|
54 |
-
"eval_runtime": 27.4005,
|
55 |
-
"eval_samples_per_second": 36.496,
|
56 |
-
"eval_steps_per_second": 4.562,
|
57 |
-
"step": 1500
|
58 |
-
},
|
59 |
-
{
|
60 |
-
"epoch": 2.026342451874367,
|
61 |
-
"grad_norm": 0.0020459946244955063,
|
62 |
-
"learning_rate": 1.6227625802093887e-05,
|
63 |
-
"loss": 0.002,
|
64 |
-
"step": 2000
|
65 |
-
},
|
66 |
-
{
|
67 |
-
"epoch": 2.026342451874367,
|
68 |
-
"eval_accuracy": 1.0,
|
69 |
-
"eval_loss": 1.5119968338694889e-05,
|
70 |
-
"eval_runtime": 27.7767,
|
71 |
-
"eval_samples_per_second": 36.001,
|
72 |
-
"eval_steps_per_second": 4.5,
|
73 |
-
"step": 2000
|
74 |
-
},
|
75 |
-
{
|
76 |
-
"epoch": 2.5329280648429586,
|
77 |
-
"grad_norm": 0.025027019903063774,
|
78 |
-
"learning_rate": 7.784532252617359e-06,
|
79 |
-
"loss": 0.0013,
|
80 |
-
"step": 2500
|
81 |
-
},
|
82 |
-
{
|
83 |
-
"epoch": 2.5329280648429586,
|
84 |
-
"eval_accuracy": 1.0,
|
85 |
-
"eval_loss": 2.4935185138019733e-05,
|
86 |
-
"eval_runtime": 27.3766,
|
87 |
-
"eval_samples_per_second": 36.528,
|
88 |
-
"eval_steps_per_second": 4.566,
|
89 |
-
"step": 2500
|
90 |
-
},
|
91 |
-
{
|
92 |
-
"epoch": 3.0,
|
93 |
-
"step": 2961,
|
94 |
-
"total_flos": 7.036273897136456e+17,
|
95 |
-
"train_loss": 0.009760016079127729,
|
96 |
-
"train_runtime": 1762.5795,
|
97 |
-
"train_samples_per_second": 26.869,
|
98 |
-
"train_steps_per_second": 1.68
|
99 |
}
|
100 |
],
|
101 |
"logging_steps": 500,
|
102 |
-
"max_steps":
|
103 |
"num_input_tokens_seen": 0,
|
104 |
-
"num_train_epochs":
|
105 |
-
"save_steps":
|
106 |
"stateful_callbacks": {
|
107 |
"TrainerControl": {
|
108 |
"args": {
|
@@ -115,7 +67,7 @@
|
|
115 |
"attributes": {}
|
116 |
}
|
117 |
},
|
118 |
-
"total_flos":
|
119 |
"train_batch_size": 16,
|
120 |
"trial_name": null,
|
121 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.5005065856129685,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1481,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.5065856129685917,
|
13 |
+
"grad_norm": 0.000192928608157672,
|
14 |
+
"learning_rate": 1.676459191498087e-05,
|
15 |
+
"loss": 0.0041,
|
16 |
"step": 500
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.5065856129685917,
|
20 |
+
"eval_accuracy": 0.996,
|
21 |
+
"eval_loss": 0.014655331149697304,
|
22 |
+
"eval_runtime": 27.4552,
|
23 |
+
"eval_samples_per_second": 36.423,
|
24 |
+
"eval_steps_per_second": 2.295,
|
25 |
"step": 500
|
26 |
},
|
27 |
{
|
28 |
"epoch": 1.0131712259371835,
|
29 |
+
"grad_norm": 0.00017229605873581022,
|
30 |
+
"learning_rate": 5.773817382593008e-06,
|
31 |
+
"loss": 0.0023,
|
32 |
"step": 1000
|
33 |
},
|
34 |
{
|
35 |
"epoch": 1.0131712259371835,
|
36 |
"eval_accuracy": 1.0,
|
37 |
+
"eval_loss": 0.00030512735247612,
|
38 |
+
"eval_runtime": 27.4106,
|
39 |
+
"eval_samples_per_second": 36.482,
|
40 |
+
"eval_steps_per_second": 2.298,
|
41 |
"step": 1000
|
42 |
},
|
43 |
{
|
44 |
+
"epoch": 1.5005065856129685,
|
45 |
+
"step": 1481,
|
46 |
+
"total_flos": 3.5197712872833024e+17,
|
47 |
+
"train_loss": 0.002488548292009352,
|
48 |
+
"train_runtime": 874.5228,
|
49 |
+
"train_samples_per_second": 27.076,
|
50 |
+
"train_steps_per_second": 1.693
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
}
|
52 |
],
|
53 |
"logging_steps": 500,
|
54 |
+
"max_steps": 1481,
|
55 |
"num_input_tokens_seen": 0,
|
56 |
+
"num_train_epochs": 2,
|
57 |
+
"save_steps": 500,
|
58 |
"stateful_callbacks": {
|
59 |
"TrainerControl": {
|
60 |
"args": {
|
|
|
67 |
"attributes": {}
|
68 |
}
|
69 |
},
|
70 |
+
"total_flos": 3.5197712872833024e+17,
|
71 |
"train_batch_size": 16,
|
72 |
"trial_name": null,
|
73 |
"trial_params": null
|