End of training
Browse files
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.9585338620875524,
|
| 4 |
+
"eval_loss": 0.11395391821861267,
|
| 5 |
+
"eval_runtime": 80.7513,
|
| 6 |
+
"eval_samples_per_second": 321.642,
|
| 7 |
+
"eval_steps_per_second": 5.028,
|
| 8 |
+
"total_flos": 5.2079419237154e+18,
|
| 9 |
+
"train_loss": 0.16386900280530636,
|
| 10 |
+
"train_runtime": 2488.4676,
|
| 11 |
+
"train_samples_per_second": 106.949,
|
| 12 |
+
"train_steps_per_second": 0.418
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.9585338620875524,
|
| 4 |
+
"eval_loss": 0.11395391821861267,
|
| 5 |
+
"eval_runtime": 80.7513,
|
| 6 |
+
"eval_samples_per_second": 321.642,
|
| 7 |
+
"eval_steps_per_second": 5.028
|
| 8 |
+
}
|
runs/Dec12_16-08-21_ae1aa77fe319/events.out.tfevents.1734022304.ae1aa77fe319.236.13
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b52a06cadd7733a6a72f495f3e5ca6e2b44d967105aa2df67e8ca13a9d0cc21
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
+
"total_flos": 5.2079419237154e+18,
|
| 4 |
+
"train_loss": 0.16386900280530636,
|
| 5 |
+
"train_runtime": 2488.4676,
|
| 6 |
+
"train_samples_per_second": 106.949,
|
| 7 |
+
"train_steps_per_second": 0.418
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,815 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9585338620875524,
|
| 3 |
+
"best_model_checkpoint": "vit-msn-small-wbc-classifier-mono-V-all/checkpoint-1040",
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1040,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.04807692307692308,
|
| 13 |
+
"grad_norm": 4.224180221557617,
|
| 14 |
+
"learning_rate": 4.807692307692308e-06,
|
| 15 |
+
"loss": 0.5899,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.09615384615384616,
|
| 20 |
+
"grad_norm": 1.716335654258728,
|
| 21 |
+
"learning_rate": 9.615384615384616e-06,
|
| 22 |
+
"loss": 0.2795,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.14423076923076922,
|
| 27 |
+
"grad_norm": 1.9335592985153198,
|
| 28 |
+
"learning_rate": 1.4423076923076923e-05,
|
| 29 |
+
"loss": 0.2528,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.19230769230769232,
|
| 34 |
+
"grad_norm": 16.045499801635742,
|
| 35 |
+
"learning_rate": 1.923076923076923e-05,
|
| 36 |
+
"loss": 0.248,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.2403846153846154,
|
| 41 |
+
"grad_norm": 3.4744293689727783,
|
| 42 |
+
"learning_rate": 2.4038461538461542e-05,
|
| 43 |
+
"loss": 0.2172,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.28846153846153844,
|
| 48 |
+
"grad_norm": 7.248939514160156,
|
| 49 |
+
"learning_rate": 2.8846153846153845e-05,
|
| 50 |
+
"loss": 0.1973,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.33653846153846156,
|
| 55 |
+
"grad_norm": 13.428326606750488,
|
| 56 |
+
"learning_rate": 3.365384615384616e-05,
|
| 57 |
+
"loss": 0.245,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.38461538461538464,
|
| 62 |
+
"grad_norm": 14.730627059936523,
|
| 63 |
+
"learning_rate": 3.846153846153846e-05,
|
| 64 |
+
"loss": 0.23,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.4326923076923077,
|
| 69 |
+
"grad_norm": 6.623648643493652,
|
| 70 |
+
"learning_rate": 4.326923076923077e-05,
|
| 71 |
+
"loss": 0.1977,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.4807692307692308,
|
| 76 |
+
"grad_norm": 3.5982465744018555,
|
| 77 |
+
"learning_rate": 4.8076923076923084e-05,
|
| 78 |
+
"loss": 0.1912,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.5288461538461539,
|
| 83 |
+
"grad_norm": 8.891210556030273,
|
| 84 |
+
"learning_rate": 4.9679487179487185e-05,
|
| 85 |
+
"loss": 0.1757,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.5769230769230769,
|
| 90 |
+
"grad_norm": 16.044160842895508,
|
| 91 |
+
"learning_rate": 4.9145299145299147e-05,
|
| 92 |
+
"loss": 0.2119,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.625,
|
| 97 |
+
"grad_norm": 4.071866989135742,
|
| 98 |
+
"learning_rate": 4.8611111111111115e-05,
|
| 99 |
+
"loss": 0.1954,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.6730769230769231,
|
| 104 |
+
"grad_norm": 5.397825241088867,
|
| 105 |
+
"learning_rate": 4.8076923076923084e-05,
|
| 106 |
+
"loss": 0.1927,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.7211538461538461,
|
| 111 |
+
"grad_norm": 2.4581189155578613,
|
| 112 |
+
"learning_rate": 4.7542735042735045e-05,
|
| 113 |
+
"loss": 0.1921,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.7692307692307693,
|
| 118 |
+
"grad_norm": 4.148955345153809,
|
| 119 |
+
"learning_rate": 4.700854700854701e-05,
|
| 120 |
+
"loss": 0.1945,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.8173076923076923,
|
| 125 |
+
"grad_norm": 7.619889259338379,
|
| 126 |
+
"learning_rate": 4.6474358974358976e-05,
|
| 127 |
+
"loss": 0.1904,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.8653846153846154,
|
| 132 |
+
"grad_norm": 8.802661895751953,
|
| 133 |
+
"learning_rate": 4.594017094017094e-05,
|
| 134 |
+
"loss": 0.1801,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.9134615384615384,
|
| 139 |
+
"grad_norm": 1.7985179424285889,
|
| 140 |
+
"learning_rate": 4.5405982905982906e-05,
|
| 141 |
+
"loss": 0.1564,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.9615384615384616,
|
| 146 |
+
"grad_norm": 7.868402481079102,
|
| 147 |
+
"learning_rate": 4.4871794871794874e-05,
|
| 148 |
+
"loss": 0.1974,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.0,
|
| 153 |
+
"eval_accuracy": 0.9371655180379626,
|
| 154 |
+
"eval_loss": 0.16416136920452118,
|
| 155 |
+
"eval_runtime": 85.3977,
|
| 156 |
+
"eval_samples_per_second": 304.142,
|
| 157 |
+
"eval_steps_per_second": 4.754,
|
| 158 |
+
"step": 208
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 1.0096153846153846,
|
| 162 |
+
"grad_norm": 4.705746650695801,
|
| 163 |
+
"learning_rate": 4.4337606837606836e-05,
|
| 164 |
+
"loss": 0.203,
|
| 165 |
+
"step": 210
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 1.0576923076923077,
|
| 169 |
+
"grad_norm": 3.6939737796783447,
|
| 170 |
+
"learning_rate": 4.3803418803418805e-05,
|
| 171 |
+
"loss": 0.1752,
|
| 172 |
+
"step": 220
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.1057692307692308,
|
| 176 |
+
"grad_norm": 3.589677333831787,
|
| 177 |
+
"learning_rate": 4.326923076923077e-05,
|
| 178 |
+
"loss": 0.1858,
|
| 179 |
+
"step": 230
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.1538461538461537,
|
| 183 |
+
"grad_norm": 6.519199848175049,
|
| 184 |
+
"learning_rate": 4.2735042735042735e-05,
|
| 185 |
+
"loss": 0.1814,
|
| 186 |
+
"step": 240
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 1.2019230769230769,
|
| 190 |
+
"grad_norm": 8.503952026367188,
|
| 191 |
+
"learning_rate": 4.2200854700854704e-05,
|
| 192 |
+
"loss": 0.1783,
|
| 193 |
+
"step": 250
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 1.25,
|
| 197 |
+
"grad_norm": 2.7003586292266846,
|
| 198 |
+
"learning_rate": 4.166666666666667e-05,
|
| 199 |
+
"loss": 0.1611,
|
| 200 |
+
"step": 260
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 1.2980769230769231,
|
| 204 |
+
"grad_norm": 2.9637396335601807,
|
| 205 |
+
"learning_rate": 4.1132478632478634e-05,
|
| 206 |
+
"loss": 0.1807,
|
| 207 |
+
"step": 270
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 1.3461538461538463,
|
| 211 |
+
"grad_norm": 2.4124629497528076,
|
| 212 |
+
"learning_rate": 4.05982905982906e-05,
|
| 213 |
+
"loss": 0.1669,
|
| 214 |
+
"step": 280
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.3942307692307692,
|
| 218 |
+
"grad_norm": 5.0713791847229,
|
| 219 |
+
"learning_rate": 4.006410256410257e-05,
|
| 220 |
+
"loss": 0.1743,
|
| 221 |
+
"step": 290
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.4423076923076923,
|
| 225 |
+
"grad_norm": 2.7951672077178955,
|
| 226 |
+
"learning_rate": 3.952991452991453e-05,
|
| 227 |
+
"loss": 0.1717,
|
| 228 |
+
"step": 300
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 1.4903846153846154,
|
| 232 |
+
"grad_norm": 4.324550628662109,
|
| 233 |
+
"learning_rate": 3.89957264957265e-05,
|
| 234 |
+
"loss": 0.188,
|
| 235 |
+
"step": 310
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 1.5384615384615383,
|
| 239 |
+
"grad_norm": 2.242941379547119,
|
| 240 |
+
"learning_rate": 3.846153846153846e-05,
|
| 241 |
+
"loss": 0.1914,
|
| 242 |
+
"step": 320
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.5865384615384617,
|
| 246 |
+
"grad_norm": 2.958832025527954,
|
| 247 |
+
"learning_rate": 3.7927350427350425e-05,
|
| 248 |
+
"loss": 0.1527,
|
| 249 |
+
"step": 330
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.6346153846153846,
|
| 253 |
+
"grad_norm": 3.1927058696746826,
|
| 254 |
+
"learning_rate": 3.739316239316239e-05,
|
| 255 |
+
"loss": 0.1822,
|
| 256 |
+
"step": 340
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.6826923076923077,
|
| 260 |
+
"grad_norm": 5.284717082977295,
|
| 261 |
+
"learning_rate": 3.685897435897436e-05,
|
| 262 |
+
"loss": 0.1587,
|
| 263 |
+
"step": 350
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 1.7307692307692308,
|
| 267 |
+
"grad_norm": 2.2974815368652344,
|
| 268 |
+
"learning_rate": 3.6324786324786323e-05,
|
| 269 |
+
"loss": 0.1494,
|
| 270 |
+
"step": 360
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 1.7788461538461537,
|
| 274 |
+
"grad_norm": 2.8491830825805664,
|
| 275 |
+
"learning_rate": 3.579059829059829e-05,
|
| 276 |
+
"loss": 0.1556,
|
| 277 |
+
"step": 370
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 1.8269230769230769,
|
| 281 |
+
"grad_norm": 2.7790327072143555,
|
| 282 |
+
"learning_rate": 3.525641025641026e-05,
|
| 283 |
+
"loss": 0.1552,
|
| 284 |
+
"step": 380
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.875,
|
| 288 |
+
"grad_norm": 2.0398130416870117,
|
| 289 |
+
"learning_rate": 3.472222222222222e-05,
|
| 290 |
+
"loss": 0.1704,
|
| 291 |
+
"step": 390
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 1.9230769230769231,
|
| 295 |
+
"grad_norm": 2.2376208305358887,
|
| 296 |
+
"learning_rate": 3.418803418803419e-05,
|
| 297 |
+
"loss": 0.1697,
|
| 298 |
+
"step": 400
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 1.9711538461538463,
|
| 302 |
+
"grad_norm": 2.9672436714172363,
|
| 303 |
+
"learning_rate": 3.365384615384616e-05,
|
| 304 |
+
"loss": 0.1589,
|
| 305 |
+
"step": 410
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.0,
|
| 309 |
+
"eval_accuracy": 0.950833557925538,
|
| 310 |
+
"eval_loss": 0.1333734393119812,
|
| 311 |
+
"eval_runtime": 85.0927,
|
| 312 |
+
"eval_samples_per_second": 305.232,
|
| 313 |
+
"eval_steps_per_second": 4.771,
|
| 314 |
+
"step": 416
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 2.019230769230769,
|
| 318 |
+
"grad_norm": 1.8962812423706055,
|
| 319 |
+
"learning_rate": 3.311965811965812e-05,
|
| 320 |
+
"loss": 0.1603,
|
| 321 |
+
"step": 420
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 2.0673076923076925,
|
| 325 |
+
"grad_norm": 3.2972991466522217,
|
| 326 |
+
"learning_rate": 3.258547008547009e-05,
|
| 327 |
+
"loss": 0.1524,
|
| 328 |
+
"step": 430
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 2.1153846153846154,
|
| 332 |
+
"grad_norm": 2.4130704402923584,
|
| 333 |
+
"learning_rate": 3.205128205128206e-05,
|
| 334 |
+
"loss": 0.1507,
|
| 335 |
+
"step": 440
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 2.1634615384615383,
|
| 339 |
+
"grad_norm": 4.791253089904785,
|
| 340 |
+
"learning_rate": 3.151709401709402e-05,
|
| 341 |
+
"loss": 0.1717,
|
| 342 |
+
"step": 450
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 2.2115384615384617,
|
| 346 |
+
"grad_norm": 3.113145112991333,
|
| 347 |
+
"learning_rate": 3.098290598290599e-05,
|
| 348 |
+
"loss": 0.1484,
|
| 349 |
+
"step": 460
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 2.2596153846153846,
|
| 353 |
+
"grad_norm": 2.3643486499786377,
|
| 354 |
+
"learning_rate": 3.0448717948717947e-05,
|
| 355 |
+
"loss": 0.1717,
|
| 356 |
+
"step": 470
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 2.3076923076923075,
|
| 360 |
+
"grad_norm": 3.9917261600494385,
|
| 361 |
+
"learning_rate": 2.9914529914529915e-05,
|
| 362 |
+
"loss": 0.1647,
|
| 363 |
+
"step": 480
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 2.355769230769231,
|
| 367 |
+
"grad_norm": 7.72503662109375,
|
| 368 |
+
"learning_rate": 2.9380341880341884e-05,
|
| 369 |
+
"loss": 0.1506,
|
| 370 |
+
"step": 490
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 2.4038461538461537,
|
| 374 |
+
"grad_norm": 2.822436809539795,
|
| 375 |
+
"learning_rate": 2.8846153846153845e-05,
|
| 376 |
+
"loss": 0.161,
|
| 377 |
+
"step": 500
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 2.451923076923077,
|
| 381 |
+
"grad_norm": 2.8079020977020264,
|
| 382 |
+
"learning_rate": 2.8311965811965814e-05,
|
| 383 |
+
"loss": 0.132,
|
| 384 |
+
"step": 510
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 2.5,
|
| 388 |
+
"grad_norm": 2.609222650527954,
|
| 389 |
+
"learning_rate": 2.777777777777778e-05,
|
| 390 |
+
"loss": 0.1531,
|
| 391 |
+
"step": 520
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 2.5480769230769234,
|
| 395 |
+
"grad_norm": 4.114030361175537,
|
| 396 |
+
"learning_rate": 2.724358974358974e-05,
|
| 397 |
+
"loss": 0.137,
|
| 398 |
+
"step": 530
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 2.5961538461538463,
|
| 402 |
+
"grad_norm": 2.093318223953247,
|
| 403 |
+
"learning_rate": 2.670940170940171e-05,
|
| 404 |
+
"loss": 0.1394,
|
| 405 |
+
"step": 540
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 2.644230769230769,
|
| 409 |
+
"grad_norm": 2.208742618560791,
|
| 410 |
+
"learning_rate": 2.6175213675213678e-05,
|
| 411 |
+
"loss": 0.1536,
|
| 412 |
+
"step": 550
|
| 413 |
+
},
|
| 414 |
+
{
|
| 415 |
+
"epoch": 2.6923076923076925,
|
| 416 |
+
"grad_norm": 2.9571166038513184,
|
| 417 |
+
"learning_rate": 2.564102564102564e-05,
|
| 418 |
+
"loss": 0.1576,
|
| 419 |
+
"step": 560
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 2.7403846153846154,
|
| 423 |
+
"grad_norm": 2.523430824279785,
|
| 424 |
+
"learning_rate": 2.5106837606837608e-05,
|
| 425 |
+
"loss": 0.1486,
|
| 426 |
+
"step": 570
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 2.7884615384615383,
|
| 430 |
+
"grad_norm": 3.496368885040283,
|
| 431 |
+
"learning_rate": 2.4572649572649573e-05,
|
| 432 |
+
"loss": 0.1463,
|
| 433 |
+
"step": 580
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 2.8365384615384617,
|
| 437 |
+
"grad_norm": 2.219247579574585,
|
| 438 |
+
"learning_rate": 2.4038461538461542e-05,
|
| 439 |
+
"loss": 0.1464,
|
| 440 |
+
"step": 590
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 2.8846153846153846,
|
| 444 |
+
"grad_norm": 2.0809261798858643,
|
| 445 |
+
"learning_rate": 2.3504273504273504e-05,
|
| 446 |
+
"loss": 0.1467,
|
| 447 |
+
"step": 600
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 2.9326923076923075,
|
| 451 |
+
"grad_norm": 2.1210248470306396,
|
| 452 |
+
"learning_rate": 2.297008547008547e-05,
|
| 453 |
+
"loss": 0.1557,
|
| 454 |
+
"step": 610
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 2.980769230769231,
|
| 458 |
+
"grad_norm": 1.880336046218872,
|
| 459 |
+
"learning_rate": 2.2435897435897437e-05,
|
| 460 |
+
"loss": 0.134,
|
| 461 |
+
"step": 620
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 3.0,
|
| 465 |
+
"eval_accuracy": 0.9431332537635236,
|
| 466 |
+
"eval_loss": 0.14658282697200775,
|
| 467 |
+
"eval_runtime": 85.5913,
|
| 468 |
+
"eval_samples_per_second": 303.454,
|
| 469 |
+
"eval_steps_per_second": 4.743,
|
| 470 |
+
"step": 624
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 3.0288461538461537,
|
| 474 |
+
"grad_norm": 1.8079543113708496,
|
| 475 |
+
"learning_rate": 2.1901709401709402e-05,
|
| 476 |
+
"loss": 0.1553,
|
| 477 |
+
"step": 630
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 3.076923076923077,
|
| 481 |
+
"grad_norm": 1.4903086423873901,
|
| 482 |
+
"learning_rate": 2.1367521367521368e-05,
|
| 483 |
+
"loss": 0.1485,
|
| 484 |
+
"step": 640
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 3.125,
|
| 488 |
+
"grad_norm": 2.690070629119873,
|
| 489 |
+
"learning_rate": 2.0833333333333336e-05,
|
| 490 |
+
"loss": 0.1423,
|
| 491 |
+
"step": 650
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 3.173076923076923,
|
| 495 |
+
"grad_norm": 5.739427089691162,
|
| 496 |
+
"learning_rate": 2.02991452991453e-05,
|
| 497 |
+
"loss": 0.1471,
|
| 498 |
+
"step": 660
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 3.2211538461538463,
|
| 502 |
+
"grad_norm": 2.2277045249938965,
|
| 503 |
+
"learning_rate": 1.9764957264957266e-05,
|
| 504 |
+
"loss": 0.1476,
|
| 505 |
+
"step": 670
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 3.269230769230769,
|
| 509 |
+
"grad_norm": 1.629521369934082,
|
| 510 |
+
"learning_rate": 1.923076923076923e-05,
|
| 511 |
+
"loss": 0.1465,
|
| 512 |
+
"step": 680
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 3.3173076923076925,
|
| 516 |
+
"grad_norm": 1.9700013399124146,
|
| 517 |
+
"learning_rate": 1.8696581196581197e-05,
|
| 518 |
+
"loss": 0.1317,
|
| 519 |
+
"step": 690
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 3.3653846153846154,
|
| 523 |
+
"grad_norm": 4.258269309997559,
|
| 524 |
+
"learning_rate": 1.8162393162393162e-05,
|
| 525 |
+
"loss": 0.1329,
|
| 526 |
+
"step": 700
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 3.4134615384615383,
|
| 530 |
+
"grad_norm": 6.2838664054870605,
|
| 531 |
+
"learning_rate": 1.762820512820513e-05,
|
| 532 |
+
"loss": 0.1686,
|
| 533 |
+
"step": 710
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 3.4615384615384617,
|
| 537 |
+
"grad_norm": 4.847503185272217,
|
| 538 |
+
"learning_rate": 1.7094017094017095e-05,
|
| 539 |
+
"loss": 0.1422,
|
| 540 |
+
"step": 720
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 3.5096153846153846,
|
| 544 |
+
"grad_norm": 2.352872371673584,
|
| 545 |
+
"learning_rate": 1.655982905982906e-05,
|
| 546 |
+
"loss": 0.1517,
|
| 547 |
+
"step": 730
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"epoch": 3.5576923076923075,
|
| 551 |
+
"grad_norm": 2.504417896270752,
|
| 552 |
+
"learning_rate": 1.602564102564103e-05,
|
| 553 |
+
"loss": 0.1391,
|
| 554 |
+
"step": 740
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 3.605769230769231,
|
| 558 |
+
"grad_norm": 2.708151340484619,
|
| 559 |
+
"learning_rate": 1.5491452991452994e-05,
|
| 560 |
+
"loss": 0.118,
|
| 561 |
+
"step": 750
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 3.6538461538461537,
|
| 565 |
+
"grad_norm": 2.629040002822876,
|
| 566 |
+
"learning_rate": 1.4957264957264958e-05,
|
| 567 |
+
"loss": 0.146,
|
| 568 |
+
"step": 760
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 3.7019230769230766,
|
| 572 |
+
"grad_norm": 3.0288608074188232,
|
| 573 |
+
"learning_rate": 1.4423076923076923e-05,
|
| 574 |
+
"loss": 0.1261,
|
| 575 |
+
"step": 770
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 3.75,
|
| 579 |
+
"grad_norm": 2.5658912658691406,
|
| 580 |
+
"learning_rate": 1.388888888888889e-05,
|
| 581 |
+
"loss": 0.1533,
|
| 582 |
+
"step": 780
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 3.7980769230769234,
|
| 586 |
+
"grad_norm": 2.7179951667785645,
|
| 587 |
+
"learning_rate": 1.3354700854700855e-05,
|
| 588 |
+
"loss": 0.1413,
|
| 589 |
+
"step": 790
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"epoch": 3.8461538461538463,
|
| 593 |
+
"grad_norm": 1.7115960121154785,
|
| 594 |
+
"learning_rate": 1.282051282051282e-05,
|
| 595 |
+
"loss": 0.1417,
|
| 596 |
+
"step": 800
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 3.894230769230769,
|
| 600 |
+
"grad_norm": 2.939439535140991,
|
| 601 |
+
"learning_rate": 1.2286324786324787e-05,
|
| 602 |
+
"loss": 0.1311,
|
| 603 |
+
"step": 810
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 3.9423076923076925,
|
| 607 |
+
"grad_norm": 3.047938585281372,
|
| 608 |
+
"learning_rate": 1.1752136752136752e-05,
|
| 609 |
+
"loss": 0.1247,
|
| 610 |
+
"step": 820
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 3.9903846153846154,
|
| 614 |
+
"grad_norm": 2.0042459964752197,
|
| 615 |
+
"learning_rate": 1.1217948717948719e-05,
|
| 616 |
+
"loss": 0.1488,
|
| 617 |
+
"step": 830
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 4.0,
|
| 621 |
+
"eval_accuracy": 0.9566472875678589,
|
| 622 |
+
"eval_loss": 0.11553934961557388,
|
| 623 |
+
"eval_runtime": 85.0472,
|
| 624 |
+
"eval_samples_per_second": 305.395,
|
| 625 |
+
"eval_steps_per_second": 4.774,
|
| 626 |
+
"step": 832
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 4.038461538461538,
|
| 630 |
+
"grad_norm": 2.6015453338623047,
|
| 631 |
+
"learning_rate": 1.0683760683760684e-05,
|
| 632 |
+
"loss": 0.1375,
|
| 633 |
+
"step": 840
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 4.086538461538462,
|
| 637 |
+
"grad_norm": 2.7020106315612793,
|
| 638 |
+
"learning_rate": 1.014957264957265e-05,
|
| 639 |
+
"loss": 0.1389,
|
| 640 |
+
"step": 850
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 4.134615384615385,
|
| 644 |
+
"grad_norm": 2.7265429496765137,
|
| 645 |
+
"learning_rate": 9.615384615384616e-06,
|
| 646 |
+
"loss": 0.1327,
|
| 647 |
+
"step": 860
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 4.1826923076923075,
|
| 651 |
+
"grad_norm": 5.0143866539001465,
|
| 652 |
+
"learning_rate": 9.081196581196581e-06,
|
| 653 |
+
"loss": 0.1436,
|
| 654 |
+
"step": 870
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 4.230769230769231,
|
| 658 |
+
"grad_norm": 3.4509687423706055,
|
| 659 |
+
"learning_rate": 8.547008547008548e-06,
|
| 660 |
+
"loss": 0.1238,
|
| 661 |
+
"step": 880
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 4.278846153846154,
|
| 665 |
+
"grad_norm": 2.778099536895752,
|
| 666 |
+
"learning_rate": 8.012820512820515e-06,
|
| 667 |
+
"loss": 0.1219,
|
| 668 |
+
"step": 890
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 4.326923076923077,
|
| 672 |
+
"grad_norm": 2.5686230659484863,
|
| 673 |
+
"learning_rate": 7.478632478632479e-06,
|
| 674 |
+
"loss": 0.1291,
|
| 675 |
+
"step": 900
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 4.375,
|
| 679 |
+
"grad_norm": 2.001837730407715,
|
| 680 |
+
"learning_rate": 6.944444444444445e-06,
|
| 681 |
+
"loss": 0.1234,
|
| 682 |
+
"step": 910
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 4.423076923076923,
|
| 686 |
+
"grad_norm": 2.5673305988311768,
|
| 687 |
+
"learning_rate": 6.41025641025641e-06,
|
| 688 |
+
"loss": 0.1279,
|
| 689 |
+
"step": 920
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 4.471153846153846,
|
| 693 |
+
"grad_norm": 3.475268602371216,
|
| 694 |
+
"learning_rate": 5.876068376068376e-06,
|
| 695 |
+
"loss": 0.1272,
|
| 696 |
+
"step": 930
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 4.519230769230769,
|
| 700 |
+
"grad_norm": 2.018739700317383,
|
| 701 |
+
"learning_rate": 5.341880341880342e-06,
|
| 702 |
+
"loss": 0.135,
|
| 703 |
+
"step": 940
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 4.5673076923076925,
|
| 707 |
+
"grad_norm": 3.1651690006256104,
|
| 708 |
+
"learning_rate": 4.807692307692308e-06,
|
| 709 |
+
"loss": 0.1429,
|
| 710 |
+
"step": 950
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 4.615384615384615,
|
| 714 |
+
"grad_norm": 1.8769733905792236,
|
| 715 |
+
"learning_rate": 4.273504273504274e-06,
|
| 716 |
+
"loss": 0.1254,
|
| 717 |
+
"step": 960
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 4.663461538461538,
|
| 721 |
+
"grad_norm": 2.2759199142456055,
|
| 722 |
+
"learning_rate": 3.7393162393162394e-06,
|
| 723 |
+
"loss": 0.1255,
|
| 724 |
+
"step": 970
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 4.711538461538462,
|
| 728 |
+
"grad_norm": 2.8174450397491455,
|
| 729 |
+
"learning_rate": 3.205128205128205e-06,
|
| 730 |
+
"loss": 0.1325,
|
| 731 |
+
"step": 980
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 4.759615384615385,
|
| 735 |
+
"grad_norm": 3.362974166870117,
|
| 736 |
+
"learning_rate": 2.670940170940171e-06,
|
| 737 |
+
"loss": 0.1334,
|
| 738 |
+
"step": 990
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 4.8076923076923075,
|
| 742 |
+
"grad_norm": 2.34413743019104,
|
| 743 |
+
"learning_rate": 2.136752136752137e-06,
|
| 744 |
+
"loss": 0.125,
|
| 745 |
+
"step": 1000
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 4.855769230769231,
|
| 749 |
+
"grad_norm": 3.007368326187134,
|
| 750 |
+
"learning_rate": 1.6025641025641025e-06,
|
| 751 |
+
"loss": 0.1288,
|
| 752 |
+
"step": 1010
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 4.903846153846154,
|
| 756 |
+
"grad_norm": 3.8937089443206787,
|
| 757 |
+
"learning_rate": 1.0683760683760685e-06,
|
| 758 |
+
"loss": 0.1272,
|
| 759 |
+
"step": 1020
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 4.951923076923077,
|
| 763 |
+
"grad_norm": 2.394737958908081,
|
| 764 |
+
"learning_rate": 5.341880341880342e-07,
|
| 765 |
+
"loss": 0.1322,
|
| 766 |
+
"step": 1030
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 5.0,
|
| 770 |
+
"grad_norm": 1.8422698974609375,
|
| 771 |
+
"learning_rate": 0.0,
|
| 772 |
+
"loss": 0.1169,
|
| 773 |
+
"step": 1040
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 5.0,
|
| 777 |
+
"eval_accuracy": 0.9585338620875524,
|
| 778 |
+
"eval_loss": 0.11395391821861267,
|
| 779 |
+
"eval_runtime": 84.4488,
|
| 780 |
+
"eval_samples_per_second": 307.559,
|
| 781 |
+
"eval_steps_per_second": 4.808,
|
| 782 |
+
"step": 1040
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 5.0,
|
| 786 |
+
"step": 1040,
|
| 787 |
+
"total_flos": 5.2079419237154e+18,
|
| 788 |
+
"train_loss": 0.16386900280530636,
|
| 789 |
+
"train_runtime": 2488.4676,
|
| 790 |
+
"train_samples_per_second": 106.949,
|
| 791 |
+
"train_steps_per_second": 0.418
|
| 792 |
+
}
|
| 793 |
+
],
|
| 794 |
+
"logging_steps": 10,
|
| 795 |
+
"max_steps": 1040,
|
| 796 |
+
"num_input_tokens_seen": 0,
|
| 797 |
+
"num_train_epochs": 5,
|
| 798 |
+
"save_steps": 500,
|
| 799 |
+
"stateful_callbacks": {
|
| 800 |
+
"TrainerControl": {
|
| 801 |
+
"args": {
|
| 802 |
+
"should_epoch_stop": false,
|
| 803 |
+
"should_evaluate": false,
|
| 804 |
+
"should_log": false,
|
| 805 |
+
"should_save": true,
|
| 806 |
+
"should_training_stop": true
|
| 807 |
+
},
|
| 808 |
+
"attributes": {}
|
| 809 |
+
}
|
| 810 |
+
},
|
| 811 |
+
"total_flos": 5.2079419237154e+18,
|
| 812 |
+
"train_batch_size": 64,
|
| 813 |
+
"trial_name": null,
|
| 814 |
+
"trial_params": null
|
| 815 |
+
}
|