End of training
Browse files
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 1.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second": 5.
|
| 7 |
-
"eval_steps_per_second": 1.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
+
"eval_accuracy": 0.27741935483870966,
|
| 4 |
+
"eval_loss": 1.9401745796203613,
|
| 5 |
+
"eval_runtime": 28.1588,
|
| 6 |
+
"eval_samples_per_second": 5.505,
|
| 7 |
+
"eval_steps_per_second": 1.385
|
| 8 |
}
|
runs/May25_00-05-58_f1bac041167e/events.out.tfevents.1716595760.f1bac041167e.34.1
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e90073794d9b9b7a0aedf61f71a7bebcd74c896b94a508153db6b0c2a4d95157
|
| 3 |
+
size 722
|
test_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 1.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second": 5.
|
| 7 |
-
"eval_steps_per_second": 1.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
+
"eval_accuracy": 0.27741935483870966,
|
| 4 |
+
"eval_loss": 1.9401745796203613,
|
| 5 |
+
"eval_runtime": 28.1588,
|
| 6 |
+
"eval_samples_per_second": 5.505,
|
| 7 |
+
"eval_steps_per_second": 1.385
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-75",
|
| 4 |
"epoch": 1.0,
|
| 5 |
"eval_steps": 500,
|
|
@@ -10,87 +10,87 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.13,
|
| 13 |
-
"grad_norm":
|
| 14 |
"learning_rate": 4.850746268656717e-05,
|
| 15 |
-
"loss": 2.
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.27,
|
| 20 |
-
"grad_norm": 10.
|
| 21 |
"learning_rate": 4.104477611940299e-05,
|
| 22 |
-
"loss": 2.
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.4,
|
| 27 |
-
"grad_norm":
|
| 28 |
"learning_rate": 3.358208955223881e-05,
|
| 29 |
-
"loss": 2.
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.53,
|
| 34 |
-
"grad_norm": 9.
|
| 35 |
"learning_rate": 2.6119402985074626e-05,
|
| 36 |
-
"loss": 2.
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.67,
|
| 41 |
-
"grad_norm":
|
| 42 |
"learning_rate": 1.865671641791045e-05,
|
| 43 |
-
"loss": 2.
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.8,
|
| 48 |
-
"grad_norm":
|
| 49 |
"learning_rate": 1.119402985074627e-05,
|
| 50 |
-
"loss": 1.
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.93,
|
| 55 |
-
"grad_norm":
|
| 56 |
"learning_rate": 3.7313432835820893e-06,
|
| 57 |
-
"loss": 1.
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 1.0,
|
| 62 |
-
"eval_accuracy": 0.
|
| 63 |
-
"eval_loss": 1.
|
| 64 |
-
"eval_runtime":
|
| 65 |
-
"eval_samples_per_second": 5.
|
| 66 |
-
"eval_steps_per_second": 1.
|
| 67 |
"step": 75
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 1.0,
|
| 71 |
"step": 75,
|
| 72 |
"total_flos": 3.73846047031296e+17,
|
| 73 |
-
"train_loss": 2.
|
| 74 |
-
"train_runtime":
|
| 75 |
-
"train_samples_per_second": 2.
|
| 76 |
-
"train_steps_per_second": 0.
|
| 77 |
},
|
| 78 |
{
|
| 79 |
"epoch": 1.0,
|
| 80 |
-
"eval_accuracy": 0.
|
| 81 |
-
"eval_loss": 1.
|
| 82 |
-
"eval_runtime":
|
| 83 |
-
"eval_samples_per_second": 5.
|
| 84 |
-
"eval_steps_per_second": 1.
|
| 85 |
"step": 75
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 1.0,
|
| 89 |
-
"eval_accuracy": 0.
|
| 90 |
-
"eval_loss": 1.
|
| 91 |
-
"eval_runtime":
|
| 92 |
-
"eval_samples_per_second": 5.
|
| 93 |
-
"eval_steps_per_second": 1.
|
| 94 |
"step": 75
|
| 95 |
}
|
| 96 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.35714285714285715,
|
| 3 |
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-75",
|
| 4 |
"epoch": 1.0,
|
| 5 |
"eval_steps": 500,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.13,
|
| 13 |
+
"grad_norm": 9.760223388671875,
|
| 14 |
"learning_rate": 4.850746268656717e-05,
|
| 15 |
+
"loss": 2.2528,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.27,
|
| 20 |
+
"grad_norm": 10.098638534545898,
|
| 21 |
"learning_rate": 4.104477611940299e-05,
|
| 22 |
+
"loss": 2.2017,
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.4,
|
| 27 |
+
"grad_norm": 9.566693305969238,
|
| 28 |
"learning_rate": 3.358208955223881e-05,
|
| 29 |
+
"loss": 2.106,
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.53,
|
| 34 |
+
"grad_norm": 9.71388053894043,
|
| 35 |
"learning_rate": 2.6119402985074626e-05,
|
| 36 |
+
"loss": 2.0158,
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.67,
|
| 41 |
+
"grad_norm": 13.246223449707031,
|
| 42 |
"learning_rate": 1.865671641791045e-05,
|
| 43 |
+
"loss": 2.0417,
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.8,
|
| 48 |
+
"grad_norm": 10.271443367004395,
|
| 49 |
"learning_rate": 1.119402985074627e-05,
|
| 50 |
+
"loss": 1.8307,
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.93,
|
| 55 |
+
"grad_norm": 16.004535675048828,
|
| 56 |
"learning_rate": 3.7313432835820893e-06,
|
| 57 |
+
"loss": 1.9649,
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 1.0,
|
| 62 |
+
"eval_accuracy": 0.35714285714285715,
|
| 63 |
+
"eval_loss": 1.7548341751098633,
|
| 64 |
+
"eval_runtime": 12.6786,
|
| 65 |
+
"eval_samples_per_second": 5.521,
|
| 66 |
+
"eval_steps_per_second": 1.42,
|
| 67 |
"step": 75
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 1.0,
|
| 71 |
"step": 75,
|
| 72 |
"total_flos": 3.73846047031296e+17,
|
| 73 |
+
"train_loss": 2.0365064112345377,
|
| 74 |
+
"train_runtime": 139.8497,
|
| 75 |
+
"train_samples_per_second": 2.145,
|
| 76 |
+
"train_steps_per_second": 0.536
|
| 77 |
},
|
| 78 |
{
|
| 79 |
"epoch": 1.0,
|
| 80 |
+
"eval_accuracy": 0.27741935483870966,
|
| 81 |
+
"eval_loss": 1.9401741027832031,
|
| 82 |
+
"eval_runtime": 29.4337,
|
| 83 |
+
"eval_samples_per_second": 5.266,
|
| 84 |
+
"eval_steps_per_second": 1.325,
|
| 85 |
"step": 75
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 1.0,
|
| 89 |
+
"eval_accuracy": 0.27741935483870966,
|
| 90 |
+
"eval_loss": 1.9401745796203613,
|
| 91 |
+
"eval_runtime": 28.1588,
|
| 92 |
+
"eval_samples_per_second": 5.505,
|
| 93 |
+
"eval_steps_per_second": 1.385,
|
| 94 |
"step": 75
|
| 95 |
}
|
| 96 |
],
|