marinone94
commited on
Commit
•
58c7e8e
1
Parent(s):
22780cf
End of training
Browse files- all_results.json +21 -21
- eval_pretrained_results.json +5 -5
- pytorch_model.bin +1 -1
- test_finetuned_results.json +6 -6
- test_pretrained_results.json +5 -5
- train_results.json +6 -6
- trainer_state.json +766 -34
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,33 +1,33 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_loss": 1.6191972494125366,
|
4 |
-
"eval_pretrained_loss": 1.
|
5 |
-
"eval_pretrained_runtime":
|
6 |
-
"eval_pretrained_samples_per_second":
|
7 |
-
"eval_pretrained_steps_per_second": 0.
|
8 |
-
"eval_pretrained_wer":
|
9 |
"eval_runtime": 56.3363,
|
10 |
"eval_samples_per_second": 0.071,
|
11 |
"eval_steps_per_second": 0.036,
|
12 |
"eval_wer": 153.2258064516129,
|
13 |
-
"test_finetuned_loss": 1.
|
14 |
-
"test_finetuned_runtime":
|
15 |
-
"test_finetuned_samples_per_second":
|
16 |
-
"test_finetuned_steps_per_second": 0.
|
17 |
-
"test_finetuned_wer":
|
18 |
"test_loss": 1.7568330764770508,
|
19 |
-
"test_pretrained_loss": 1.
|
20 |
-
"test_pretrained_runtime":
|
21 |
-
"test_pretrained_samples_per_second":
|
22 |
-
"test_pretrained_steps_per_second": 0.
|
23 |
-
"test_pretrained_wer":
|
24 |
"test_runtime": 37.8582,
|
25 |
"test_samples_per_second": 0.106,
|
26 |
"test_steps_per_second": 0.053,
|
27 |
"test_wer": 138.5964912280702,
|
28 |
-
"total_flos":
|
29 |
-
"train_loss":
|
30 |
-
"train_runtime":
|
31 |
-
"train_samples_per_second":
|
32 |
-
"train_steps_per_second": 0.
|
33 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.33,
|
3 |
"eval_loss": 1.6191972494125366,
|
4 |
+
"eval_pretrained_loss": 1.715580940246582,
|
5 |
+
"eval_pretrained_runtime": 131.9468,
|
6 |
+
"eval_pretrained_samples_per_second": 2.501,
|
7 |
+
"eval_pretrained_steps_per_second": 0.318,
|
8 |
+
"eval_pretrained_wer": 264.5217946670924,
|
9 |
"eval_runtime": 56.3363,
|
10 |
"eval_samples_per_second": 0.071,
|
11 |
"eval_steps_per_second": 0.036,
|
12 |
"eval_wer": 153.2258064516129,
|
13 |
+
"test_finetuned_loss": 1.0018435716629028,
|
14 |
+
"test_finetuned_runtime": 238.9736,
|
15 |
+
"test_finetuned_samples_per_second": 3.176,
|
16 |
+
"test_finetuned_steps_per_second": 0.398,
|
17 |
+
"test_finetuned_wer": 173.15939719843325,
|
18 |
"test_loss": 1.7568330764770508,
|
19 |
+
"test_pretrained_loss": 1.724961757659912,
|
20 |
+
"test_pretrained_runtime": 275.9851,
|
21 |
+
"test_pretrained_samples_per_second": 2.75,
|
22 |
+
"test_pretrained_steps_per_second": 0.344,
|
23 |
+
"test_pretrained_wer": 261.9066587001262,
|
24 |
"test_runtime": 37.8582,
|
25 |
"test_samples_per_second": 0.106,
|
26 |
"test_steps_per_second": 0.053,
|
27 |
"test_wer": 138.5964912280702,
|
28 |
+
"total_flos": 1.7572960198656e+17,
|
29 |
+
"train_loss": 0.8751795228038516,
|
30 |
+
"train_runtime": 2133.32,
|
31 |
+
"train_samples_per_second": 3.36,
|
32 |
+
"train_steps_per_second": 0.21
|
33 |
}
|
eval_pretrained_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"eval_pretrained_loss": 1.
|
3 |
-
"eval_pretrained_runtime":
|
4 |
-
"eval_pretrained_samples_per_second":
|
5 |
-
"eval_pretrained_steps_per_second": 0.
|
6 |
-
"eval_pretrained_wer":
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"eval_pretrained_loss": 1.715580940246582,
|
3 |
+
"eval_pretrained_runtime": 131.9468,
|
4 |
+
"eval_pretrained_samples_per_second": 2.501,
|
5 |
+
"eval_pretrained_steps_per_second": 0.318,
|
6 |
+
"eval_pretrained_wer": 264.5217946670924
|
7 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 151098921
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68bb0c59266f7c595eaaa4c27443c5b5bde3796bdbf17a2e1ef41723e9e02297
|
3 |
size 151098921
|
test_finetuned_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"test_finetuned_loss": 1.
|
4 |
-
"test_finetuned_runtime":
|
5 |
-
"test_finetuned_samples_per_second":
|
6 |
-
"test_finetuned_steps_per_second": 0.
|
7 |
-
"test_finetuned_wer":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.33,
|
3 |
+
"test_finetuned_loss": 1.0018435716629028,
|
4 |
+
"test_finetuned_runtime": 238.9736,
|
5 |
+
"test_finetuned_samples_per_second": 3.176,
|
6 |
+
"test_finetuned_steps_per_second": 0.398,
|
7 |
+
"test_finetuned_wer": 173.15939719843325
|
8 |
}
|
test_pretrained_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"test_pretrained_loss": 1.
|
3 |
-
"test_pretrained_runtime":
|
4 |
-
"test_pretrained_samples_per_second":
|
5 |
-
"test_pretrained_steps_per_second": 0.
|
6 |
-
"test_pretrained_wer":
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"test_pretrained_loss": 1.724961757659912,
|
3 |
+
"test_pretrained_runtime": 275.9851,
|
4 |
+
"test_pretrained_samples_per_second": 2.75,
|
5 |
+
"test_pretrained_steps_per_second": 0.344,
|
6 |
+
"test_pretrained_wer": 261.9066587001262
|
7 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.33,
|
3 |
+
"total_flos": 1.7572960198656e+17,
|
4 |
+
"train_loss": 0.8751795228038516,
|
5 |
+
"train_runtime": 2133.32,
|
6 |
+
"train_samples_per_second": 3.36,
|
7 |
+
"train_steps_per_second": 0.21
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,55 +1,787 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint": "./whisper-training-blog/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
-
"epoch": 0.
|
12 |
-
"learning_rate":
|
13 |
-
"loss": 1.
|
14 |
-
"step":
|
15 |
},
|
16 |
{
|
17 |
-
"epoch": 0.
|
18 |
-
"
|
19 |
-
"
|
20 |
-
"
|
21 |
-
"eval_steps_per_second": 0.294,
|
22 |
-
"eval_wer": 123.40425531914893,
|
23 |
-
"step": 1
|
24 |
},
|
25 |
{
|
26 |
-
"epoch":
|
27 |
-
"learning_rate":
|
28 |
-
"loss": 1.
|
29 |
-
"step":
|
30 |
},
|
31 |
{
|
32 |
-
"epoch":
|
33 |
-
"
|
34 |
-
"
|
35 |
-
"
|
36 |
-
|
37 |
-
|
38 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
39 |
},
|
40 |
{
|
41 |
"epoch": 1.0,
|
42 |
-
"
|
43 |
-
"
|
44 |
-
"
|
45 |
-
|
46 |
-
|
47 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
}
|
49 |
],
|
50 |
-
"max_steps":
|
51 |
"num_train_epochs": 9223372036854775807,
|
52 |
-
"total_flos":
|
53 |
"trial_name": null,
|
54 |
"trial_params": null
|
55 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 173.47916334025228,
|
3 |
+
"best_model_checkpoint": "./whisper-training-blog/checkpoint-396",
|
4 |
+
"epoch": 2.330357142857143,
|
5 |
+
"global_step": 448,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 1.6666666666666668e-07,
|
13 |
+
"loss": 1.7185,
|
14 |
+
"step": 4
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 3.3333333333333335e-07,
|
19 |
+
"loss": 1.6808,
|
20 |
+
"step": 8
|
|
|
|
|
|
|
21 |
},
|
22 |
{
|
23 |
+
"epoch": 0.03,
|
24 |
+
"learning_rate": 5.555555555555555e-07,
|
25 |
+
"loss": 1.712,
|
26 |
+
"step": 12
|
27 |
},
|
28 |
{
|
29 |
+
"epoch": 0.04,
|
30 |
+
"learning_rate": 7.777777777777778e-07,
|
31 |
+
"loss": 1.543,
|
32 |
+
"step": 16
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.04,
|
36 |
+
"learning_rate": 1e-06,
|
37 |
+
"loss": 1.609,
|
38 |
+
"step": 20
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05,
|
42 |
+
"learning_rate": 1.2222222222222223e-06,
|
43 |
+
"loss": 1.5657,
|
44 |
+
"step": 24
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06,
|
48 |
+
"learning_rate": 1.4444444444444445e-06,
|
49 |
+
"loss": 1.608,
|
50 |
+
"step": 28
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.07,
|
54 |
+
"learning_rate": 1.6666666666666667e-06,
|
55 |
+
"loss": 1.5075,
|
56 |
+
"step": 32
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.08,
|
60 |
+
"learning_rate": 1.8888888888888888e-06,
|
61 |
+
"loss": 1.5183,
|
62 |
+
"step": 36
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.09,
|
66 |
+
"learning_rate": 2.1111111111111114e-06,
|
67 |
+
"loss": 1.4948,
|
68 |
+
"step": 40
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.1,
|
72 |
+
"learning_rate": 2.3333333333333336e-06,
|
73 |
+
"loss": 1.4112,
|
74 |
+
"step": 44
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.1,
|
78 |
+
"eval_loss": 1.4919109344482422,
|
79 |
+
"eval_runtime": 118.4455,
|
80 |
+
"eval_samples_per_second": 2.786,
|
81 |
+
"eval_steps_per_second": 0.355,
|
82 |
+
"eval_wer": 245.29778061631805,
|
83 |
+
"step": 44
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.11,
|
87 |
+
"learning_rate": 2.5555555555555557e-06,
|
88 |
+
"loss": 1.3192,
|
89 |
+
"step": 48
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.12,
|
93 |
+
"learning_rate": 2.7777777777777775e-06,
|
94 |
+
"loss": 1.3334,
|
95 |
+
"step": 52
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.12,
|
99 |
+
"learning_rate": 3e-06,
|
100 |
+
"loss": 1.2895,
|
101 |
+
"step": 56
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.13,
|
105 |
+
"learning_rate": 3.2222222222222222e-06,
|
106 |
+
"loss": 1.2749,
|
107 |
+
"step": 60
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.14,
|
111 |
+
"learning_rate": 3.4444444444444444e-06,
|
112 |
+
"loss": 1.3856,
|
113 |
+
"step": 64
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.15,
|
117 |
+
"learning_rate": 3.6666666666666666e-06,
|
118 |
+
"loss": 1.2078,
|
119 |
+
"step": 68
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.16,
|
123 |
+
"learning_rate": 3.888888888888889e-06,
|
124 |
+
"loss": 1.2185,
|
125 |
+
"step": 72
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.17,
|
129 |
+
"learning_rate": 4.111111111111111e-06,
|
130 |
+
"loss": 1.1661,
|
131 |
+
"step": 76
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.18,
|
135 |
+
"learning_rate": 4.333333333333333e-06,
|
136 |
+
"loss": 1.1351,
|
137 |
+
"step": 80
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.19,
|
141 |
+
"learning_rate": 4.555555555555555e-06,
|
142 |
+
"loss": 1.0729,
|
143 |
+
"step": 84
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.2,
|
147 |
+
"learning_rate": 4.777777777777778e-06,
|
148 |
+
"loss": 1.0501,
|
149 |
+
"step": 88
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2,
|
153 |
+
"eval_loss": 1.225467324256897,
|
154 |
+
"eval_runtime": 119.277,
|
155 |
+
"eval_samples_per_second": 2.767,
|
156 |
+
"eval_steps_per_second": 0.352,
|
157 |
+
"eval_wer": 219.94251955931662,
|
158 |
+
"step": 88
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.21,
|
162 |
+
"learning_rate": 4.9999999999999996e-06,
|
163 |
+
"loss": 1.1278,
|
164 |
+
"step": 92
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.21,
|
168 |
+
"learning_rate": 5.2222222222222226e-06,
|
169 |
+
"loss": 1.0563,
|
170 |
+
"step": 96
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.22,
|
174 |
+
"learning_rate": 5.444444444444445e-06,
|
175 |
+
"loss": 0.9929,
|
176 |
+
"step": 100
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.23,
|
180 |
+
"learning_rate": 5.666666666666667e-06,
|
181 |
+
"loss": 1.0879,
|
182 |
+
"step": 104
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.24,
|
186 |
+
"learning_rate": 5.888888888888889e-06,
|
187 |
+
"loss": 1.0417,
|
188 |
+
"step": 108
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.25,
|
192 |
+
"learning_rate": 6.111111111111111e-06,
|
193 |
+
"loss": 0.9337,
|
194 |
+
"step": 112
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.26,
|
198 |
+
"learning_rate": 6.333333333333333e-06,
|
199 |
+
"loss": 0.9688,
|
200 |
+
"step": 116
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.27,
|
204 |
+
"learning_rate": 6.555555555555556e-06,
|
205 |
+
"loss": 0.9559,
|
206 |
+
"step": 120
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.28,
|
210 |
+
"learning_rate": 6.777777777777778e-06,
|
211 |
+
"loss": 1.0192,
|
212 |
+
"step": 124
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.29,
|
216 |
+
"learning_rate": 7e-06,
|
217 |
+
"loss": 0.8509,
|
218 |
+
"step": 128
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.29,
|
222 |
+
"learning_rate": 7.222222222222222e-06,
|
223 |
+
"loss": 0.9033,
|
224 |
+
"step": 132
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.29,
|
228 |
+
"eval_loss": 1.120314359664917,
|
229 |
+
"eval_runtime": 111.0003,
|
230 |
+
"eval_samples_per_second": 2.973,
|
231 |
+
"eval_steps_per_second": 0.378,
|
232 |
+
"eval_wer": 205.7799776464953,
|
233 |
+
"step": 132
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.3,
|
237 |
+
"learning_rate": 7.444444444444444e-06,
|
238 |
+
"loss": 0.9171,
|
239 |
+
"step": 136
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.31,
|
243 |
+
"learning_rate": 7.428115015974441e-06,
|
244 |
+
"loss": 0.9445,
|
245 |
+
"step": 140
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.32,
|
249 |
+
"learning_rate": 7.332268370607029e-06,
|
250 |
+
"loss": 0.8926,
|
251 |
+
"step": 144
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.33,
|
255 |
+
"learning_rate": 7.236421725239617e-06,
|
256 |
+
"loss": 0.9975,
|
257 |
+
"step": 148
|
258 |
},
|
259 |
{
|
260 |
"epoch": 1.0,
|
261 |
+
"learning_rate": 7.140575079872205e-06,
|
262 |
+
"loss": 1.239,
|
263 |
+
"step": 152
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.01,
|
267 |
+
"learning_rate": 7.044728434504793e-06,
|
268 |
+
"loss": 0.9148,
|
269 |
+
"step": 156
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.02,
|
273 |
+
"learning_rate": 6.948881789137381e-06,
|
274 |
+
"loss": 1.0117,
|
275 |
+
"step": 160
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.03,
|
279 |
+
"learning_rate": 6.853035143769968e-06,
|
280 |
+
"loss": 0.9081,
|
281 |
+
"step": 164
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.04,
|
285 |
+
"learning_rate": 6.7571884984025565e-06,
|
286 |
+
"loss": 0.8434,
|
287 |
+
"step": 168
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 1.05,
|
291 |
+
"learning_rate": 6.6613418530351436e-06,
|
292 |
+
"loss": 0.8672,
|
293 |
+
"step": 172
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.06,
|
297 |
+
"learning_rate": 6.565495207667732e-06,
|
298 |
+
"loss": 0.8142,
|
299 |
+
"step": 176
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.06,
|
303 |
+
"eval_loss": 1.0674585103988647,
|
304 |
+
"eval_runtime": 102.4925,
|
305 |
+
"eval_samples_per_second": 3.22,
|
306 |
+
"eval_steps_per_second": 0.41,
|
307 |
+
"eval_wer": 192.87881207089254,
|
308 |
+
"step": 176
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 1.07,
|
312 |
+
"learning_rate": 6.469648562300319e-06,
|
313 |
+
"loss": 0.8329,
|
314 |
+
"step": 180
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.08,
|
318 |
+
"learning_rate": 6.373801916932908e-06,
|
319 |
+
"loss": 0.8191,
|
320 |
+
"step": 184
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 1.08,
|
324 |
+
"learning_rate": 6.277955271565495e-06,
|
325 |
+
"loss": 0.8659,
|
326 |
+
"step": 188
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 1.09,
|
330 |
+
"learning_rate": 6.182108626198084e-06,
|
331 |
+
"loss": 0.821,
|
332 |
+
"step": 192
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 1.1,
|
336 |
+
"learning_rate": 6.086261980830671e-06,
|
337 |
+
"loss": 0.8518,
|
338 |
+
"step": 196
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.11,
|
342 |
+
"learning_rate": 5.990415335463259e-06,
|
343 |
+
"loss": 0.7813,
|
344 |
+
"step": 200
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 1.12,
|
348 |
+
"learning_rate": 5.894568690095847e-06,
|
349 |
+
"loss": 0.7541,
|
350 |
+
"step": 204
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.13,
|
354 |
+
"learning_rate": 5.798722044728435e-06,
|
355 |
+
"loss": 0.7938,
|
356 |
+
"step": 208
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 1.14,
|
360 |
+
"learning_rate": 5.702875399361023e-06,
|
361 |
+
"loss": 0.8182,
|
362 |
+
"step": 212
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 1.15,
|
366 |
+
"learning_rate": 5.607028753993611e-06,
|
367 |
+
"loss": 0.7461,
|
368 |
+
"step": 216
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 1.16,
|
372 |
+
"learning_rate": 5.5111821086261985e-06,
|
373 |
+
"loss": 0.8029,
|
374 |
+
"step": 220
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 1.16,
|
378 |
+
"eval_loss": 1.0393497943878174,
|
379 |
+
"eval_runtime": 101.6759,
|
380 |
+
"eval_samples_per_second": 3.246,
|
381 |
+
"eval_steps_per_second": 0.413,
|
382 |
+
"eval_wer": 178.42886795465432,
|
383 |
+
"step": 220
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.17,
|
387 |
+
"learning_rate": 5.415335463258786e-06,
|
388 |
+
"loss": 0.754,
|
389 |
+
"step": 224
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.17,
|
393 |
+
"learning_rate": 5.319488817891374e-06,
|
394 |
+
"loss": 0.7662,
|
395 |
+
"step": 228
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.18,
|
399 |
+
"learning_rate": 5.223642172523962e-06,
|
400 |
+
"loss": 0.7253,
|
401 |
+
"step": 232
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.19,
|
405 |
+
"learning_rate": 5.127795527156549e-06,
|
406 |
+
"loss": 0.6944,
|
407 |
+
"step": 236
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.2,
|
411 |
+
"learning_rate": 5.031948881789138e-06,
|
412 |
+
"loss": 0.7281,
|
413 |
+
"step": 240
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.21,
|
417 |
+
"learning_rate": 4.936102236421725e-06,
|
418 |
+
"loss": 0.7841,
|
419 |
+
"step": 244
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.22,
|
423 |
+
"learning_rate": 4.840255591054313e-06,
|
424 |
+
"loss": 0.7154,
|
425 |
+
"step": 248
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.23,
|
429 |
+
"learning_rate": 4.744408945686901e-06,
|
430 |
+
"loss": 0.7077,
|
431 |
+
"step": 252
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.24,
|
435 |
+
"learning_rate": 4.648562300319489e-06,
|
436 |
+
"loss": 0.7812,
|
437 |
+
"step": 256
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.25,
|
441 |
+
"learning_rate": 4.552715654952077e-06,
|
442 |
+
"loss": 0.6817,
|
443 |
+
"step": 260
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.25,
|
447 |
+
"learning_rate": 4.456869009584665e-06,
|
448 |
+
"loss": 0.6324,
|
449 |
+
"step": 264
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.25,
|
453 |
+
"eval_loss": 1.0302220582962036,
|
454 |
+
"eval_runtime": 114.7389,
|
455 |
+
"eval_samples_per_second": 2.876,
|
456 |
+
"eval_steps_per_second": 0.366,
|
457 |
+
"eval_wer": 216.6054606418649,
|
458 |
+
"step": 264
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 1.26,
|
462 |
+
"learning_rate": 4.361022364217253e-06,
|
463 |
+
"loss": 0.6826,
|
464 |
+
"step": 268
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.27,
|
468 |
+
"learning_rate": 4.26517571884984e-06,
|
469 |
+
"loss": 0.7187,
|
470 |
+
"step": 272
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 1.28,
|
474 |
+
"learning_rate": 4.169329073482428e-06,
|
475 |
+
"loss": 0.6699,
|
476 |
+
"step": 276
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 1.29,
|
480 |
+
"learning_rate": 4.0734824281150155e-06,
|
481 |
+
"loss": 0.5677,
|
482 |
+
"step": 280
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 1.3,
|
486 |
+
"learning_rate": 3.977635782747604e-06,
|
487 |
+
"loss": 0.6833,
|
488 |
+
"step": 284
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 1.31,
|
492 |
+
"learning_rate": 3.881789137380191e-06,
|
493 |
+
"loss": 0.6293,
|
494 |
+
"step": 288
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.32,
|
498 |
+
"learning_rate": 3.7859424920127796e-06,
|
499 |
+
"loss": 0.672,
|
500 |
+
"step": 292
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.33,
|
504 |
+
"learning_rate": 3.6900958466453675e-06,
|
505 |
+
"loss": 0.7121,
|
506 |
+
"step": 296
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.33,
|
510 |
+
"learning_rate": 3.5942492012779555e-06,
|
511 |
+
"loss": 0.8766,
|
512 |
+
"step": 300
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 2.01,
|
516 |
+
"learning_rate": 3.4984025559105434e-06,
|
517 |
+
"loss": 0.6726,
|
518 |
+
"step": 304
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 2.02,
|
522 |
+
"learning_rate": 3.4025559105431313e-06,
|
523 |
+
"loss": 0.6971,
|
524 |
+
"step": 308
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.02,
|
528 |
+
"eval_loss": 1.0134836435317993,
|
529 |
+
"eval_runtime": 101.0358,
|
530 |
+
"eval_samples_per_second": 3.266,
|
531 |
+
"eval_steps_per_second": 0.416,
|
532 |
+
"eval_wer": 179.3709085102986,
|
533 |
+
"step": 308
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 2.03,
|
537 |
+
"learning_rate": 3.306709265175719e-06,
|
538 |
+
"loss": 0.7432,
|
539 |
+
"step": 312
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 2.04,
|
543 |
+
"learning_rate": 3.2108626198083067e-06,
|
544 |
+
"loss": 0.6264,
|
545 |
+
"step": 316
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 2.04,
|
549 |
+
"learning_rate": 3.1150159744408946e-06,
|
550 |
+
"loss": 0.6604,
|
551 |
+
"step": 320
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 2.05,
|
555 |
+
"learning_rate": 3.0191693290734825e-06,
|
556 |
+
"loss": 0.6409,
|
557 |
+
"step": 324
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 2.06,
|
561 |
+
"learning_rate": 2.9233226837060704e-06,
|
562 |
+
"loss": 0.6539,
|
563 |
+
"step": 328
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 2.07,
|
567 |
+
"learning_rate": 2.8274760383386583e-06,
|
568 |
+
"loss": 0.611,
|
569 |
+
"step": 332
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.08,
|
573 |
+
"learning_rate": 2.7316293929712462e-06,
|
574 |
+
"loss": 0.6828,
|
575 |
+
"step": 336
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 2.09,
|
579 |
+
"learning_rate": 2.635782747603834e-06,
|
580 |
+
"loss": 0.6499,
|
581 |
+
"step": 340
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 2.1,
|
585 |
+
"learning_rate": 2.539936102236422e-06,
|
586 |
+
"loss": 0.6642,
|
587 |
+
"step": 344
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 2.11,
|
591 |
+
"learning_rate": 2.44408945686901e-06,
|
592 |
+
"loss": 0.6147,
|
593 |
+
"step": 348
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 2.12,
|
597 |
+
"learning_rate": 2.3482428115015974e-06,
|
598 |
+
"loss": 0.6051,
|
599 |
+
"step": 352
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 2.12,
|
603 |
+
"eval_loss": 1.0064767599105835,
|
604 |
+
"eval_runtime": 107.523,
|
605 |
+
"eval_samples_per_second": 3.069,
|
606 |
+
"eval_steps_per_second": 0.391,
|
607 |
+
"eval_wer": 194.63515886955133,
|
608 |
+
"step": 352
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.12,
|
612 |
+
"learning_rate": 2.2523961661341854e-06,
|
613 |
+
"loss": 0.6237,
|
614 |
+
"step": 356
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 2.13,
|
618 |
+
"learning_rate": 2.1565495207667733e-06,
|
619 |
+
"loss": 0.5992,
|
620 |
+
"step": 360
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.14,
|
624 |
+
"learning_rate": 2.060702875399361e-06,
|
625 |
+
"loss": 0.6777,
|
626 |
+
"step": 364
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 2.15,
|
630 |
+
"learning_rate": 1.964856230031949e-06,
|
631 |
+
"loss": 0.6012,
|
632 |
+
"step": 368
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.16,
|
636 |
+
"learning_rate": 1.8690095846645368e-06,
|
637 |
+
"loss": 0.622,
|
638 |
+
"step": 372
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 2.17,
|
642 |
+
"learning_rate": 1.7731629392971245e-06,
|
643 |
+
"loss": 0.6288,
|
644 |
+
"step": 376
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 2.18,
|
648 |
+
"learning_rate": 1.6773162939297124e-06,
|
649 |
+
"loss": 0.6079,
|
650 |
+
"step": 380
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.19,
|
654 |
+
"learning_rate": 1.5814696485623003e-06,
|
655 |
+
"loss": 0.5887,
|
656 |
+
"step": 384
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 2.2,
|
660 |
+
"learning_rate": 1.4856230031948882e-06,
|
661 |
+
"loss": 0.5932,
|
662 |
+
"step": 388
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.21,
|
666 |
+
"learning_rate": 1.389776357827476e-06,
|
667 |
+
"loss": 0.6373,
|
668 |
+
"step": 392
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 2.21,
|
672 |
+
"learning_rate": 1.2939297124600638e-06,
|
673 |
+
"loss": 0.6048,
|
674 |
+
"step": 396
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.21,
|
678 |
+
"eval_loss": 1.002966284751892,
|
679 |
+
"eval_runtime": 97.8102,
|
680 |
+
"eval_samples_per_second": 3.374,
|
681 |
+
"eval_steps_per_second": 0.429,
|
682 |
+
"eval_wer": 173.47916334025228,
|
683 |
+
"step": 396
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 2.22,
|
687 |
+
"learning_rate": 1.1980830670926517e-06,
|
688 |
+
"loss": 0.5774,
|
689 |
+
"step": 400
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 2.23,
|
693 |
+
"learning_rate": 1.1022364217252397e-06,
|
694 |
+
"loss": 0.6325,
|
695 |
+
"step": 404
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 2.24,
|
699 |
+
"learning_rate": 1.0063897763578274e-06,
|
700 |
+
"loss": 0.601,
|
701 |
+
"step": 408
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 2.25,
|
705 |
+
"learning_rate": 9.105431309904153e-07,
|
706 |
+
"loss": 0.5618,
|
707 |
+
"step": 412
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 2.26,
|
711 |
+
"learning_rate": 8.146964856230032e-07,
|
712 |
+
"loss": 0.5729,
|
713 |
+
"step": 416
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.27,
|
717 |
+
"learning_rate": 7.188498402555911e-07,
|
718 |
+
"loss": 0.5755,
|
719 |
+
"step": 420
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 2.28,
|
723 |
+
"learning_rate": 6.230031948881789e-07,
|
724 |
+
"loss": 0.6207,
|
725 |
+
"step": 424
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 2.29,
|
729 |
+
"learning_rate": 5.271565495207668e-07,
|
730 |
+
"loss": 0.5041,
|
731 |
+
"step": 428
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 2.29,
|
735 |
+
"learning_rate": 4.313099041533546e-07,
|
736 |
+
"loss": 0.5544,
|
737 |
+
"step": 432
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 2.3,
|
741 |
+
"learning_rate": 3.3546325878594247e-07,
|
742 |
+
"loss": 0.5608,
|
743 |
+
"step": 436
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 2.31,
|
747 |
+
"learning_rate": 2.3961661341853033e-07,
|
748 |
+
"loss": 0.585,
|
749 |
+
"step": 440
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 2.31,
|
753 |
+
"eval_loss": 1.0049320459365845,
|
754 |
+
"eval_runtime": 105.5439,
|
755 |
+
"eval_samples_per_second": 3.127,
|
756 |
+
"eval_steps_per_second": 0.398,
|
757 |
+
"eval_wer": 186.6677311192719,
|
758 |
+
"step": 440
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.32,
|
762 |
+
"learning_rate": 1.437699680511182e-07,
|
763 |
+
"loss": 0.5486,
|
764 |
+
"step": 444
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 2.33,
|
768 |
+
"learning_rate": 4.792332268370607e-08,
|
769 |
+
"loss": 0.6387,
|
770 |
+
"step": 448
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 2.33,
|
774 |
+
"step": 448,
|
775 |
+
"total_flos": 1.7572960198656e+17,
|
776 |
+
"train_loss": 0.8751795228038516,
|
777 |
+
"train_runtime": 2133.32,
|
778 |
+
"train_samples_per_second": 3.36,
|
779 |
+
"train_steps_per_second": 0.21
|
780 |
}
|
781 |
],
|
782 |
+
"max_steps": 448,
|
783 |
"num_train_epochs": 9223372036854775807,
|
784 |
+
"total_flos": 1.7572960198656e+17,
|
785 |
"trial_name": null,
|
786 |
"trial_params": null
|
787 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3707
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:098eb422614f2b69cada5c370a7aafa45f3e0897c25ca997abbd0fbb3b31385a
|
3 |
size 3707
|