End of training
Browse files- README.md +1 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- runs/Apr15_17-28-12_7d2e2e36f4c9/events.out.tfevents.1713202788.7d2e2e36f4c9.34.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +118 -0
README.md
CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://huggingface.co/facebook/convnext-large-384-22k-1k) on the imagefolder dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://huggingface.co/facebook/convnext-large-384-22k-1k) on the imagefolder dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.0012
|
21 |
|
22 |
## Model description
|
23 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.87,
|
3 |
+
"eval_loss": 0.0012113985139876604,
|
4 |
+
"eval_runtime": 6.6548,
|
5 |
+
"eval_samples_per_second": 15.327,
|
6 |
+
"eval_steps_per_second": 1.653,
|
7 |
+
"total_flos": 1.8333718891462656e+18,
|
8 |
+
"train_loss": 0.12722260688050566,
|
9 |
+
"train_runtime": 603.2075,
|
10 |
+
"train_samples_per_second": 6.034,
|
11 |
+
"train_steps_per_second": 0.146
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.87,
|
3 |
+
"eval_loss": 0.0012113985139876604,
|
4 |
+
"eval_runtime": 6.6548,
|
5 |
+
"eval_samples_per_second": 15.327,
|
6 |
+
"eval_steps_per_second": 1.653
|
7 |
+
}
|
runs/Apr15_17-28-12_7d2e2e36f4c9/events.out.tfevents.1713202788.7d2e2e36f4c9.34.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:74bdf9c6bc6b2f2eb2807f8a6d1fb46d617686967a3b61128e98f0307b68c041
|
3 |
+
size 354
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.87,
|
3 |
+
"total_flos": 1.8333718891462656e+18,
|
4 |
+
"train_loss": 0.12722260688050566,
|
5 |
+
"train_runtime": 603.2075,
|
6 |
+
"train_samples_per_second": 6.034,
|
7 |
+
"train_steps_per_second": 0.146
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.0012113985139876604,
|
3 |
+
"best_model_checkpoint": "convnext-large-384-22k-1k-finetuned-eurosat/checkpoint-68",
|
4 |
+
"epoch": 3.868131868131868,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 88,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.44,
|
13 |
+
"grad_norm": 5.727264881134033,
|
14 |
+
"learning_rate": 4.936708860759494e-05,
|
15 |
+
"loss": 0.701,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.88,
|
20 |
+
"grad_norm": 14.726851463317871,
|
21 |
+
"learning_rate": 4.3037974683544305e-05,
|
22 |
+
"loss": 0.2737,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.97,
|
27 |
+
"eval_loss": 0.08488043397665024,
|
28 |
+
"eval_runtime": 7.2932,
|
29 |
+
"eval_samples_per_second": 13.986,
|
30 |
+
"eval_steps_per_second": 1.508,
|
31 |
+
"step": 22
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 1.32,
|
35 |
+
"grad_norm": 1.7209300994873047,
|
36 |
+
"learning_rate": 3.670886075949367e-05,
|
37 |
+
"loss": 0.0656,
|
38 |
+
"step": 30
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.76,
|
42 |
+
"grad_norm": 7.18027400970459,
|
43 |
+
"learning_rate": 3.0379746835443042e-05,
|
44 |
+
"loss": 0.0416,
|
45 |
+
"step": 40
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 1.98,
|
49 |
+
"eval_loss": 0.005474980920553207,
|
50 |
+
"eval_runtime": 6.2937,
|
51 |
+
"eval_samples_per_second": 16.207,
|
52 |
+
"eval_steps_per_second": 1.748,
|
53 |
+
"step": 45
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 2.2,
|
57 |
+
"grad_norm": 1.0882468223571777,
|
58 |
+
"learning_rate": 2.4050632911392405e-05,
|
59 |
+
"loss": 0.0095,
|
60 |
+
"step": 50
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 2.64,
|
64 |
+
"grad_norm": 0.13572758436203003,
|
65 |
+
"learning_rate": 1.7721518987341772e-05,
|
66 |
+
"loss": 0.0096,
|
67 |
+
"step": 60
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 2.99,
|
71 |
+
"eval_loss": 0.0012113985139876604,
|
72 |
+
"eval_runtime": 6.2097,
|
73 |
+
"eval_samples_per_second": 16.426,
|
74 |
+
"eval_steps_per_second": 1.771,
|
75 |
+
"step": 68
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 3.08,
|
79 |
+
"grad_norm": 0.02920173481106758,
|
80 |
+
"learning_rate": 1.139240506329114e-05,
|
81 |
+
"loss": 0.0011,
|
82 |
+
"step": 70
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 3.52,
|
86 |
+
"grad_norm": 0.02914993278682232,
|
87 |
+
"learning_rate": 5.063291139240506e-06,
|
88 |
+
"loss": 0.0018,
|
89 |
+
"step": 80
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 3.87,
|
93 |
+
"eval_loss": 0.002901246538385749,
|
94 |
+
"eval_runtime": 6.242,
|
95 |
+
"eval_samples_per_second": 16.341,
|
96 |
+
"eval_steps_per_second": 1.762,
|
97 |
+
"step": 88
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 3.87,
|
101 |
+
"step": 88,
|
102 |
+
"total_flos": 1.8333718891462656e+18,
|
103 |
+
"train_loss": 0.12722260688050566,
|
104 |
+
"train_runtime": 603.2075,
|
105 |
+
"train_samples_per_second": 6.034,
|
106 |
+
"train_steps_per_second": 0.146
|
107 |
+
}
|
108 |
+
],
|
109 |
+
"logging_steps": 10,
|
110 |
+
"max_steps": 88,
|
111 |
+
"num_input_tokens_seen": 0,
|
112 |
+
"num_train_epochs": 4,
|
113 |
+
"save_steps": 500,
|
114 |
+
"total_flos": 1.8333718891462656e+18,
|
115 |
+
"train_batch_size": 10,
|
116 |
+
"trial_name": null,
|
117 |
+
"trial_params": null
|
118 |
+
}
|