🍻 cheers
Browse files- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Jul22_11-14-45_30c1bc90e6fa/events.out.tfevents.1658489929.30c1bc90e6fa.76.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +1210 -0
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.13076923076923078,
|
| 4 |
+
"eval_loss": 3.4589149951934814,
|
| 5 |
+
"eval_runtime": 22.5911,
|
| 6 |
+
"eval_samples_per_second": 74.808,
|
| 7 |
+
"eval_steps_per_second": 9.384,
|
| 8 |
+
"total_flos": 2.1353892586861363e+18,
|
| 9 |
+
"train_loss": 3.8407227360925007,
|
| 10 |
+
"train_runtime": 1045.5226,
|
| 11 |
+
"train_samples_per_second": 26.322,
|
| 12 |
+
"train_steps_per_second": 1.645
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_accuracy": 0.13076923076923078,
|
| 4 |
+
"eval_loss": 3.4589149951934814,
|
| 5 |
+
"eval_runtime": 22.5911,
|
| 6 |
+
"eval_samples_per_second": 74.808,
|
| 7 |
+
"eval_steps_per_second": 9.384
|
| 8 |
+
}
|
runs/Jul22_11-14-45_30c1bc90e6fa/events.out.tfevents.1658489929.30c1bc90e6fa.76.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3bac17c3b612d886864cb72d940c91e4997fd2accc9005268c4456e2e9a84317
|
| 3 |
+
size 363
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"total_flos": 2.1353892586861363e+18,
|
| 4 |
+
"train_loss": 3.8407227360925007,
|
| 5 |
+
"train_runtime": 1045.5226,
|
| 6 |
+
"train_samples_per_second": 26.322,
|
| 7 |
+
"train_steps_per_second": 1.645
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 3.4589149951934814,
|
| 3 |
+
"best_model_checkpoint": "./exper2_mesum5/checkpoint-1700",
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"global_step": 1720,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.02,
|
| 12 |
+
"learning_rate": 0.0019883720930232557,
|
| 13 |
+
"loss": 4.9453,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.05,
|
| 18 |
+
"learning_rate": 0.0019767441860465114,
|
| 19 |
+
"loss": 4.9054,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.07,
|
| 24 |
+
"learning_rate": 0.0019651162790697676,
|
| 25 |
+
"loss": 4.6079,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.09,
|
| 30 |
+
"learning_rate": 0.0019534883720930232,
|
| 31 |
+
"loss": 4.6129,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.12,
|
| 36 |
+
"learning_rate": 0.001941860465116279,
|
| 37 |
+
"loss": 4.613,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.14,
|
| 42 |
+
"learning_rate": 0.001930232558139535,
|
| 43 |
+
"loss": 4.3921,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.16,
|
| 48 |
+
"learning_rate": 0.0019186046511627908,
|
| 49 |
+
"loss": 4.459,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.19,
|
| 54 |
+
"learning_rate": 0.0019069767441860467,
|
| 55 |
+
"loss": 4.3617,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.21,
|
| 60 |
+
"learning_rate": 0.0018953488372093024,
|
| 61 |
+
"loss": 4.3242,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.23,
|
| 66 |
+
"learning_rate": 0.0018837209302325583,
|
| 67 |
+
"loss": 4.4265,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.23,
|
| 72 |
+
"eval_accuracy": 0.029585798816568046,
|
| 73 |
+
"eval_loss": 4.367562294006348,
|
| 74 |
+
"eval_runtime": 19.0014,
|
| 75 |
+
"eval_samples_per_second": 88.941,
|
| 76 |
+
"eval_steps_per_second": 11.157,
|
| 77 |
+
"step": 100
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.26,
|
| 81 |
+
"learning_rate": 0.001872093023255814,
|
| 82 |
+
"loss": 4.3222,
|
| 83 |
+
"step": 110
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.28,
|
| 87 |
+
"learning_rate": 0.0018604651162790699,
|
| 88 |
+
"loss": 4.2917,
|
| 89 |
+
"step": 120
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.3,
|
| 93 |
+
"learning_rate": 0.0018488372093023256,
|
| 94 |
+
"loss": 4.2636,
|
| 95 |
+
"step": 130
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.33,
|
| 99 |
+
"learning_rate": 0.0018372093023255815,
|
| 100 |
+
"loss": 4.2516,
|
| 101 |
+
"step": 140
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.35,
|
| 105 |
+
"learning_rate": 0.0018255813953488372,
|
| 106 |
+
"loss": 4.2823,
|
| 107 |
+
"step": 150
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.37,
|
| 111 |
+
"learning_rate": 0.0018139534883720929,
|
| 112 |
+
"loss": 4.1987,
|
| 113 |
+
"step": 160
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.4,
|
| 117 |
+
"learning_rate": 0.001802325581395349,
|
| 118 |
+
"loss": 4.3236,
|
| 119 |
+
"step": 170
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.42,
|
| 123 |
+
"learning_rate": 0.0017906976744186047,
|
| 124 |
+
"loss": 4.359,
|
| 125 |
+
"step": 180
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 0.44,
|
| 129 |
+
"learning_rate": 0.0017790697674418606,
|
| 130 |
+
"loss": 4.2877,
|
| 131 |
+
"step": 190
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.47,
|
| 135 |
+
"learning_rate": 0.0017674418604651163,
|
| 136 |
+
"loss": 4.1144,
|
| 137 |
+
"step": 200
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.47,
|
| 141 |
+
"eval_accuracy": 0.054437869822485205,
|
| 142 |
+
"eval_loss": 4.160641670227051,
|
| 143 |
+
"eval_runtime": 21.5399,
|
| 144 |
+
"eval_samples_per_second": 78.459,
|
| 145 |
+
"eval_steps_per_second": 9.842,
|
| 146 |
+
"step": 200
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.49,
|
| 150 |
+
"learning_rate": 0.0017558139534883722,
|
| 151 |
+
"loss": 4.1521,
|
| 152 |
+
"step": 210
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.51,
|
| 156 |
+
"learning_rate": 0.0017441860465116279,
|
| 157 |
+
"loss": 4.1644,
|
| 158 |
+
"step": 220
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.53,
|
| 162 |
+
"learning_rate": 0.0017325581395348838,
|
| 163 |
+
"loss": 4.1735,
|
| 164 |
+
"step": 230
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.56,
|
| 168 |
+
"learning_rate": 0.0017209302325581395,
|
| 169 |
+
"loss": 4.2105,
|
| 170 |
+
"step": 240
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.58,
|
| 174 |
+
"learning_rate": 0.0017093023255813954,
|
| 175 |
+
"loss": 4.1582,
|
| 176 |
+
"step": 250
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.6,
|
| 180 |
+
"learning_rate": 0.001697674418604651,
|
| 181 |
+
"loss": 4.1161,
|
| 182 |
+
"step": 260
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.63,
|
| 186 |
+
"learning_rate": 0.0016860465116279072,
|
| 187 |
+
"loss": 4.0732,
|
| 188 |
+
"step": 270
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.65,
|
| 192 |
+
"learning_rate": 0.001674418604651163,
|
| 193 |
+
"loss": 4.1367,
|
| 194 |
+
"step": 280
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.67,
|
| 198 |
+
"learning_rate": 0.0016627906976744186,
|
| 199 |
+
"loss": 4.2132,
|
| 200 |
+
"step": 290
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.7,
|
| 204 |
+
"learning_rate": 0.0016511627906976745,
|
| 205 |
+
"loss": 4.0912,
|
| 206 |
+
"step": 300
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.7,
|
| 210 |
+
"eval_accuracy": 0.05088757396449704,
|
| 211 |
+
"eval_loss": 4.107085704803467,
|
| 212 |
+
"eval_runtime": 21.8387,
|
| 213 |
+
"eval_samples_per_second": 77.386,
|
| 214 |
+
"eval_steps_per_second": 9.708,
|
| 215 |
+
"step": 300
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.72,
|
| 219 |
+
"learning_rate": 0.0016395348837209302,
|
| 220 |
+
"loss": 4.1099,
|
| 221 |
+
"step": 310
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.74,
|
| 225 |
+
"learning_rate": 0.0016279069767441861,
|
| 226 |
+
"loss": 4.0904,
|
| 227 |
+
"step": 320
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.77,
|
| 231 |
+
"learning_rate": 0.0016162790697674418,
|
| 232 |
+
"loss": 4.1553,
|
| 233 |
+
"step": 330
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.79,
|
| 237 |
+
"learning_rate": 0.0016046511627906977,
|
| 238 |
+
"loss": 4.0868,
|
| 239 |
+
"step": 340
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.81,
|
| 243 |
+
"learning_rate": 0.0015930232558139534,
|
| 244 |
+
"loss": 4.0147,
|
| 245 |
+
"step": 350
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.84,
|
| 249 |
+
"learning_rate": 0.0015813953488372093,
|
| 250 |
+
"loss": 4.0375,
|
| 251 |
+
"step": 360
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.86,
|
| 255 |
+
"learning_rate": 0.001569767441860465,
|
| 256 |
+
"loss": 4.1162,
|
| 257 |
+
"step": 370
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.88,
|
| 261 |
+
"learning_rate": 0.0015581395348837211,
|
| 262 |
+
"loss": 4.1113,
|
| 263 |
+
"step": 380
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 0.91,
|
| 267 |
+
"learning_rate": 0.0015465116279069768,
|
| 268 |
+
"loss": 3.9,
|
| 269 |
+
"step": 390
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.93,
|
| 273 |
+
"learning_rate": 0.0015348837209302327,
|
| 274 |
+
"loss": 4.0361,
|
| 275 |
+
"step": 400
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.93,
|
| 279 |
+
"eval_accuracy": 0.06686390532544378,
|
| 280 |
+
"eval_loss": 4.062524318695068,
|
| 281 |
+
"eval_runtime": 21.795,
|
| 282 |
+
"eval_samples_per_second": 77.541,
|
| 283 |
+
"eval_steps_per_second": 9.727,
|
| 284 |
+
"step": 400
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.95,
|
| 288 |
+
"learning_rate": 0.0015232558139534884,
|
| 289 |
+
"loss": 4.0367,
|
| 290 |
+
"step": 410
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.98,
|
| 294 |
+
"learning_rate": 0.0015116279069767443,
|
| 295 |
+
"loss": 4.1145,
|
| 296 |
+
"step": 420
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.0,
|
| 300 |
+
"learning_rate": 0.0015,
|
| 301 |
+
"loss": 4.0218,
|
| 302 |
+
"step": 430
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 1.02,
|
| 306 |
+
"learning_rate": 0.0014883720930232557,
|
| 307 |
+
"loss": 3.9887,
|
| 308 |
+
"step": 440
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.05,
|
| 312 |
+
"learning_rate": 0.0014767441860465116,
|
| 313 |
+
"loss": 3.9717,
|
| 314 |
+
"step": 450
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 1.07,
|
| 318 |
+
"learning_rate": 0.0014651162790697673,
|
| 319 |
+
"loss": 3.9346,
|
| 320 |
+
"step": 460
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.09,
|
| 324 |
+
"learning_rate": 0.0014534883720930232,
|
| 325 |
+
"loss": 4.0204,
|
| 326 |
+
"step": 470
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 1.12,
|
| 330 |
+
"learning_rate": 0.001441860465116279,
|
| 331 |
+
"loss": 3.9421,
|
| 332 |
+
"step": 480
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.14,
|
| 336 |
+
"learning_rate": 0.001430232558139535,
|
| 337 |
+
"loss": 3.9545,
|
| 338 |
+
"step": 490
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.16,
|
| 342 |
+
"learning_rate": 0.0014186046511627907,
|
| 343 |
+
"loss": 4.0257,
|
| 344 |
+
"step": 500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.16,
|
| 348 |
+
"eval_accuracy": 0.08224852071005917,
|
| 349 |
+
"eval_loss": 3.9682300090789795,
|
| 350 |
+
"eval_runtime": 22.2982,
|
| 351 |
+
"eval_samples_per_second": 75.791,
|
| 352 |
+
"eval_steps_per_second": 9.507,
|
| 353 |
+
"step": 500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.19,
|
| 357 |
+
"learning_rate": 0.0014069767441860467,
|
| 358 |
+
"loss": 3.9265,
|
| 359 |
+
"step": 510
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.21,
|
| 363 |
+
"learning_rate": 0.0013953488372093023,
|
| 364 |
+
"loss": 3.8827,
|
| 365 |
+
"step": 520
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 1.23,
|
| 369 |
+
"learning_rate": 0.0013837209302325583,
|
| 370 |
+
"loss": 4.0043,
|
| 371 |
+
"step": 530
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 1.26,
|
| 375 |
+
"learning_rate": 0.001372093023255814,
|
| 376 |
+
"loss": 3.9064,
|
| 377 |
+
"step": 540
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 1.28,
|
| 381 |
+
"learning_rate": 0.0013604651162790699,
|
| 382 |
+
"loss": 3.8487,
|
| 383 |
+
"step": 550
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 1.3,
|
| 387 |
+
"learning_rate": 0.0013488372093023256,
|
| 388 |
+
"loss": 3.872,
|
| 389 |
+
"step": 560
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 1.33,
|
| 393 |
+
"learning_rate": 0.0013372093023255815,
|
| 394 |
+
"loss": 4.0328,
|
| 395 |
+
"step": 570
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.35,
|
| 399 |
+
"learning_rate": 0.0013255813953488372,
|
| 400 |
+
"loss": 4.0341,
|
| 401 |
+
"step": 580
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.37,
|
| 405 |
+
"learning_rate": 0.0013139534883720928,
|
| 406 |
+
"loss": 3.88,
|
| 407 |
+
"step": 590
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 1.4,
|
| 411 |
+
"learning_rate": 0.001302325581395349,
|
| 412 |
+
"loss": 3.8846,
|
| 413 |
+
"step": 600
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 1.4,
|
| 417 |
+
"eval_accuracy": 0.0834319526627219,
|
| 418 |
+
"eval_loss": 3.9310760498046875,
|
| 419 |
+
"eval_runtime": 22.1502,
|
| 420 |
+
"eval_samples_per_second": 76.297,
|
| 421 |
+
"eval_steps_per_second": 9.571,
|
| 422 |
+
"step": 600
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.42,
|
| 426 |
+
"learning_rate": 0.0012906976744186047,
|
| 427 |
+
"loss": 4.0106,
|
| 428 |
+
"step": 610
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 1.44,
|
| 432 |
+
"learning_rate": 0.0012790697674418606,
|
| 433 |
+
"loss": 3.9745,
|
| 434 |
+
"step": 620
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 1.47,
|
| 438 |
+
"learning_rate": 0.0012674418604651163,
|
| 439 |
+
"loss": 3.9328,
|
| 440 |
+
"step": 630
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 1.49,
|
| 444 |
+
"learning_rate": 0.0012558139534883722,
|
| 445 |
+
"loss": 3.9979,
|
| 446 |
+
"step": 640
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.51,
|
| 450 |
+
"learning_rate": 0.0012441860465116279,
|
| 451 |
+
"loss": 3.9394,
|
| 452 |
+
"step": 650
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.53,
|
| 456 |
+
"learning_rate": 0.0012325581395348838,
|
| 457 |
+
"loss": 3.8107,
|
| 458 |
+
"step": 660
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.56,
|
| 462 |
+
"learning_rate": 0.0012209302325581395,
|
| 463 |
+
"loss": 3.8761,
|
| 464 |
+
"step": 670
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.58,
|
| 468 |
+
"learning_rate": 0.0012093023255813954,
|
| 469 |
+
"loss": 4.0095,
|
| 470 |
+
"step": 680
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 1.6,
|
| 474 |
+
"learning_rate": 0.001197674418604651,
|
| 475 |
+
"loss": 3.9969,
|
| 476 |
+
"step": 690
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 1.63,
|
| 480 |
+
"learning_rate": 0.0011860465116279072,
|
| 481 |
+
"loss": 3.9504,
|
| 482 |
+
"step": 700
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 1.63,
|
| 486 |
+
"eval_accuracy": 0.06982248520710059,
|
| 487 |
+
"eval_loss": 3.9254539012908936,
|
| 488 |
+
"eval_runtime": 19.9581,
|
| 489 |
+
"eval_samples_per_second": 84.677,
|
| 490 |
+
"eval_steps_per_second": 10.622,
|
| 491 |
+
"step": 700
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 1.65,
|
| 495 |
+
"learning_rate": 0.001174418604651163,
|
| 496 |
+
"loss": 3.9426,
|
| 497 |
+
"step": 710
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 1.67,
|
| 501 |
+
"learning_rate": 0.0011627906976744186,
|
| 502 |
+
"loss": 3.9817,
|
| 503 |
+
"step": 720
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 1.7,
|
| 507 |
+
"learning_rate": 0.0011511627906976745,
|
| 508 |
+
"loss": 4.0043,
|
| 509 |
+
"step": 730
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 1.72,
|
| 513 |
+
"learning_rate": 0.0011395348837209302,
|
| 514 |
+
"loss": 3.9829,
|
| 515 |
+
"step": 740
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 1.74,
|
| 519 |
+
"learning_rate": 0.001127906976744186,
|
| 520 |
+
"loss": 3.9204,
|
| 521 |
+
"step": 750
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.77,
|
| 525 |
+
"learning_rate": 0.0011162790697674418,
|
| 526 |
+
"loss": 3.958,
|
| 527 |
+
"step": 760
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.79,
|
| 531 |
+
"learning_rate": 0.0011046511627906977,
|
| 532 |
+
"loss": 3.9127,
|
| 533 |
+
"step": 770
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 1.81,
|
| 537 |
+
"learning_rate": 0.0010930232558139534,
|
| 538 |
+
"loss": 3.8387,
|
| 539 |
+
"step": 780
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 1.84,
|
| 543 |
+
"learning_rate": 0.0010813953488372093,
|
| 544 |
+
"loss": 3.8673,
|
| 545 |
+
"step": 790
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.86,
|
| 549 |
+
"learning_rate": 0.001069767441860465,
|
| 550 |
+
"loss": 3.9884,
|
| 551 |
+
"step": 800
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 1.86,
|
| 555 |
+
"eval_accuracy": 0.07218934911242604,
|
| 556 |
+
"eval_loss": 3.940431594848633,
|
| 557 |
+
"eval_runtime": 19.188,
|
| 558 |
+
"eval_samples_per_second": 88.076,
|
| 559 |
+
"eval_steps_per_second": 11.049,
|
| 560 |
+
"step": 800
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 1.88,
|
| 564 |
+
"learning_rate": 0.0010581395348837211,
|
| 565 |
+
"loss": 3.8334,
|
| 566 |
+
"step": 810
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 1.91,
|
| 570 |
+
"learning_rate": 0.0010465116279069768,
|
| 571 |
+
"loss": 3.9347,
|
| 572 |
+
"step": 820
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 1.93,
|
| 576 |
+
"learning_rate": 0.0010348837209302327,
|
| 577 |
+
"loss": 3.9363,
|
| 578 |
+
"step": 830
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.95,
|
| 582 |
+
"learning_rate": 0.0010232558139534884,
|
| 583 |
+
"loss": 3.8543,
|
| 584 |
+
"step": 840
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.98,
|
| 588 |
+
"learning_rate": 0.0010116279069767443,
|
| 589 |
+
"loss": 3.94,
|
| 590 |
+
"step": 850
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.0,
|
| 594 |
+
"learning_rate": 0.001,
|
| 595 |
+
"loss": 3.7869,
|
| 596 |
+
"step": 860
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 2.02,
|
| 600 |
+
"learning_rate": 0.0009883720930232557,
|
| 601 |
+
"loss": 3.8011,
|
| 602 |
+
"step": 870
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 2.05,
|
| 606 |
+
"learning_rate": 0.0009767441860465116,
|
| 607 |
+
"loss": 3.7155,
|
| 608 |
+
"step": 880
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 2.07,
|
| 612 |
+
"learning_rate": 0.0009651162790697675,
|
| 613 |
+
"loss": 3.909,
|
| 614 |
+
"step": 890
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 2.09,
|
| 618 |
+
"learning_rate": 0.0009534883720930233,
|
| 619 |
+
"loss": 3.7191,
|
| 620 |
+
"step": 900
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.09,
|
| 624 |
+
"eval_accuracy": 0.09349112426035502,
|
| 625 |
+
"eval_loss": 3.826247215270996,
|
| 626 |
+
"eval_runtime": 20.1595,
|
| 627 |
+
"eval_samples_per_second": 83.831,
|
| 628 |
+
"eval_steps_per_second": 10.516,
|
| 629 |
+
"step": 900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 2.12,
|
| 633 |
+
"learning_rate": 0.0009418604651162791,
|
| 634 |
+
"loss": 3.8592,
|
| 635 |
+
"step": 910
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 2.14,
|
| 639 |
+
"learning_rate": 0.0009302325581395349,
|
| 640 |
+
"loss": 3.8276,
|
| 641 |
+
"step": 920
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.16,
|
| 645 |
+
"learning_rate": 0.0009186046511627907,
|
| 646 |
+
"loss": 3.7752,
|
| 647 |
+
"step": 930
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 2.19,
|
| 651 |
+
"learning_rate": 0.0009069767441860464,
|
| 652 |
+
"loss": 3.7793,
|
| 653 |
+
"step": 940
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.21,
|
| 657 |
+
"learning_rate": 0.0008953488372093023,
|
| 658 |
+
"loss": 3.7912,
|
| 659 |
+
"step": 950
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 2.23,
|
| 663 |
+
"learning_rate": 0.0008837209302325581,
|
| 664 |
+
"loss": 3.6608,
|
| 665 |
+
"step": 960
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 2.26,
|
| 669 |
+
"learning_rate": 0.0008720930232558139,
|
| 670 |
+
"loss": 3.8321,
|
| 671 |
+
"step": 970
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 2.28,
|
| 675 |
+
"learning_rate": 0.0008604651162790697,
|
| 676 |
+
"loss": 3.6955,
|
| 677 |
+
"step": 980
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 2.3,
|
| 681 |
+
"learning_rate": 0.0008488372093023255,
|
| 682 |
+
"loss": 3.7179,
|
| 683 |
+
"step": 990
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.33,
|
| 687 |
+
"learning_rate": 0.0008372093023255815,
|
| 688 |
+
"loss": 3.7952,
|
| 689 |
+
"step": 1000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 2.33,
|
| 693 |
+
"eval_accuracy": 0.07337278106508875,
|
| 694 |
+
"eval_loss": 3.823629379272461,
|
| 695 |
+
"eval_runtime": 19.0027,
|
| 696 |
+
"eval_samples_per_second": 88.935,
|
| 697 |
+
"eval_steps_per_second": 11.156,
|
| 698 |
+
"step": 1000
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 2.35,
|
| 702 |
+
"learning_rate": 0.0008255813953488373,
|
| 703 |
+
"loss": 3.6852,
|
| 704 |
+
"step": 1010
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.37,
|
| 708 |
+
"learning_rate": 0.0008139534883720931,
|
| 709 |
+
"loss": 3.8711,
|
| 710 |
+
"step": 1020
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 2.4,
|
| 714 |
+
"learning_rate": 0.0008023255813953489,
|
| 715 |
+
"loss": 3.7056,
|
| 716 |
+
"step": 1030
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 2.42,
|
| 720 |
+
"learning_rate": 0.0007906976744186047,
|
| 721 |
+
"loss": 3.8829,
|
| 722 |
+
"step": 1040
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 2.44,
|
| 726 |
+
"learning_rate": 0.0007790697674418606,
|
| 727 |
+
"loss": 3.7857,
|
| 728 |
+
"step": 1050
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 2.47,
|
| 732 |
+
"learning_rate": 0.0007674418604651164,
|
| 733 |
+
"loss": 3.7401,
|
| 734 |
+
"step": 1060
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 2.49,
|
| 738 |
+
"learning_rate": 0.0007558139534883722,
|
| 739 |
+
"loss": 3.7043,
|
| 740 |
+
"step": 1070
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 2.51,
|
| 744 |
+
"learning_rate": 0.0007441860465116279,
|
| 745 |
+
"loss": 3.6616,
|
| 746 |
+
"step": 1080
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 2.53,
|
| 750 |
+
"learning_rate": 0.0007325581395348837,
|
| 751 |
+
"loss": 3.7174,
|
| 752 |
+
"step": 1090
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 2.56,
|
| 756 |
+
"learning_rate": 0.0007209302325581395,
|
| 757 |
+
"loss": 3.8085,
|
| 758 |
+
"step": 1100
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 2.56,
|
| 762 |
+
"eval_accuracy": 0.09644970414201183,
|
| 763 |
+
"eval_loss": 3.7693703174591064,
|
| 764 |
+
"eval_runtime": 20.1388,
|
| 765 |
+
"eval_samples_per_second": 83.918,
|
| 766 |
+
"eval_steps_per_second": 10.527,
|
| 767 |
+
"step": 1100
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 2.58,
|
| 771 |
+
"learning_rate": 0.0007093023255813954,
|
| 772 |
+
"loss": 3.6466,
|
| 773 |
+
"step": 1110
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 2.6,
|
| 777 |
+
"learning_rate": 0.0006976744186046512,
|
| 778 |
+
"loss": 3.8068,
|
| 779 |
+
"step": 1120
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 2.63,
|
| 783 |
+
"learning_rate": 0.000686046511627907,
|
| 784 |
+
"loss": 3.6777,
|
| 785 |
+
"step": 1130
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 2.65,
|
| 789 |
+
"learning_rate": 0.0006744186046511628,
|
| 790 |
+
"loss": 3.5985,
|
| 791 |
+
"step": 1140
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 2.67,
|
| 795 |
+
"learning_rate": 0.0006627906976744186,
|
| 796 |
+
"loss": 3.7016,
|
| 797 |
+
"step": 1150
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 2.7,
|
| 801 |
+
"learning_rate": 0.0006511627906976745,
|
| 802 |
+
"loss": 3.7256,
|
| 803 |
+
"step": 1160
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 2.72,
|
| 807 |
+
"learning_rate": 0.0006395348837209303,
|
| 808 |
+
"loss": 3.6213,
|
| 809 |
+
"step": 1170
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 2.74,
|
| 813 |
+
"learning_rate": 0.0006279069767441861,
|
| 814 |
+
"loss": 3.5336,
|
| 815 |
+
"step": 1180
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 2.77,
|
| 819 |
+
"learning_rate": 0.0006162790697674419,
|
| 820 |
+
"loss": 3.6883,
|
| 821 |
+
"step": 1190
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 2.79,
|
| 825 |
+
"learning_rate": 0.0006046511627906977,
|
| 826 |
+
"loss": 3.7535,
|
| 827 |
+
"step": 1200
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 2.79,
|
| 831 |
+
"eval_accuracy": 0.1059171597633136,
|
| 832 |
+
"eval_loss": 3.675692319869995,
|
| 833 |
+
"eval_runtime": 19.295,
|
| 834 |
+
"eval_samples_per_second": 87.587,
|
| 835 |
+
"eval_steps_per_second": 10.987,
|
| 836 |
+
"step": 1200
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 2.81,
|
| 840 |
+
"learning_rate": 0.0005930232558139536,
|
| 841 |
+
"loss": 3.6236,
|
| 842 |
+
"step": 1210
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 2.84,
|
| 846 |
+
"learning_rate": 0.0005813953488372093,
|
| 847 |
+
"loss": 3.5595,
|
| 848 |
+
"step": 1220
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 2.86,
|
| 852 |
+
"learning_rate": 0.0005697674418604651,
|
| 853 |
+
"loss": 3.6437,
|
| 854 |
+
"step": 1230
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 2.88,
|
| 858 |
+
"learning_rate": 0.0005581395348837209,
|
| 859 |
+
"loss": 3.6395,
|
| 860 |
+
"step": 1240
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 2.91,
|
| 864 |
+
"learning_rate": 0.0005465116279069767,
|
| 865 |
+
"loss": 3.7838,
|
| 866 |
+
"step": 1250
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 2.93,
|
| 870 |
+
"learning_rate": 0.0005348837209302325,
|
| 871 |
+
"loss": 3.6164,
|
| 872 |
+
"step": 1260
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.95,
|
| 876 |
+
"learning_rate": 0.0005232558139534884,
|
| 877 |
+
"loss": 3.6732,
|
| 878 |
+
"step": 1270
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.98,
|
| 882 |
+
"learning_rate": 0.0005116279069767442,
|
| 883 |
+
"loss": 3.5979,
|
| 884 |
+
"step": 1280
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 3.0,
|
| 888 |
+
"learning_rate": 0.0005,
|
| 889 |
+
"loss": 3.6063,
|
| 890 |
+
"step": 1290
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 3.02,
|
| 894 |
+
"learning_rate": 0.0004883720930232558,
|
| 895 |
+
"loss": 3.4218,
|
| 896 |
+
"step": 1300
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 3.02,
|
| 900 |
+
"eval_accuracy": 0.10946745562130178,
|
| 901 |
+
"eval_loss": 3.6474382877349854,
|
| 902 |
+
"eval_runtime": 20.4645,
|
| 903 |
+
"eval_samples_per_second": 82.582,
|
| 904 |
+
"eval_steps_per_second": 10.359,
|
| 905 |
+
"step": 1300
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 3.05,
|
| 909 |
+
"learning_rate": 0.00047674418604651167,
|
| 910 |
+
"loss": 3.517,
|
| 911 |
+
"step": 1310
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 3.07,
|
| 915 |
+
"learning_rate": 0.00046511627906976747,
|
| 916 |
+
"loss": 3.5429,
|
| 917 |
+
"step": 1320
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 3.09,
|
| 921 |
+
"learning_rate": 0.0004534883720930232,
|
| 922 |
+
"loss": 3.6631,
|
| 923 |
+
"step": 1330
|
| 924 |
+
},
|
| 925 |
+
{
|
| 926 |
+
"epoch": 3.12,
|
| 927 |
+
"learning_rate": 0.00044186046511627907,
|
| 928 |
+
"loss": 3.6517,
|
| 929 |
+
"step": 1340
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 3.14,
|
| 933 |
+
"learning_rate": 0.00043023255813953487,
|
| 934 |
+
"loss": 3.5048,
|
| 935 |
+
"step": 1350
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 3.16,
|
| 939 |
+
"learning_rate": 0.0004186046511627907,
|
| 940 |
+
"loss": 3.4971,
|
| 941 |
+
"step": 1360
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 3.19,
|
| 945 |
+
"learning_rate": 0.00040697674418604653,
|
| 946 |
+
"loss": 3.4994,
|
| 947 |
+
"step": 1370
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 3.21,
|
| 951 |
+
"learning_rate": 0.00039534883720930233,
|
| 952 |
+
"loss": 3.6071,
|
| 953 |
+
"step": 1380
|
| 954 |
+
},
|
| 955 |
+
{
|
| 956 |
+
"epoch": 3.23,
|
| 957 |
+
"learning_rate": 0.0003837209302325582,
|
| 958 |
+
"loss": 3.573,
|
| 959 |
+
"step": 1390
|
| 960 |
+
},
|
| 961 |
+
{
|
| 962 |
+
"epoch": 3.26,
|
| 963 |
+
"learning_rate": 0.00037209302325581393,
|
| 964 |
+
"loss": 3.5172,
|
| 965 |
+
"step": 1400
|
| 966 |
+
},
|
| 967 |
+
{
|
| 968 |
+
"epoch": 3.26,
|
| 969 |
+
"eval_accuracy": 0.1165680473372781,
|
| 970 |
+
"eval_loss": 3.5621113777160645,
|
| 971 |
+
"eval_runtime": 19.4458,
|
| 972 |
+
"eval_samples_per_second": 86.908,
|
| 973 |
+
"eval_steps_per_second": 10.902,
|
| 974 |
+
"step": 1400
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 3.28,
|
| 978 |
+
"learning_rate": 0.00036046511627906973,
|
| 979 |
+
"loss": 3.4566,
|
| 980 |
+
"step": 1410
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 3.3,
|
| 984 |
+
"learning_rate": 0.0003488372093023256,
|
| 985 |
+
"loss": 3.4021,
|
| 986 |
+
"step": 1420
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 3.33,
|
| 990 |
+
"learning_rate": 0.0003372093023255814,
|
| 991 |
+
"loss": 3.4908,
|
| 992 |
+
"step": 1430
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 3.35,
|
| 996 |
+
"learning_rate": 0.00032558139534883724,
|
| 997 |
+
"loss": 3.4437,
|
| 998 |
+
"step": 1440
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 3.37,
|
| 1002 |
+
"learning_rate": 0.00031395348837209304,
|
| 1003 |
+
"loss": 3.4836,
|
| 1004 |
+
"step": 1450
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 3.4,
|
| 1008 |
+
"learning_rate": 0.00030232558139534885,
|
| 1009 |
+
"loss": 3.5235,
|
| 1010 |
+
"step": 1460
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 3.42,
|
| 1014 |
+
"learning_rate": 0.00029069767441860465,
|
| 1015 |
+
"loss": 3.5462,
|
| 1016 |
+
"step": 1470
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 3.44,
|
| 1020 |
+
"learning_rate": 0.00027906976744186045,
|
| 1021 |
+
"loss": 3.5786,
|
| 1022 |
+
"step": 1480
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 3.47,
|
| 1026 |
+
"learning_rate": 0.00026744186046511625,
|
| 1027 |
+
"loss": 3.4383,
|
| 1028 |
+
"step": 1490
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 3.49,
|
| 1032 |
+
"learning_rate": 0.0002558139534883721,
|
| 1033 |
+
"loss": 3.5173,
|
| 1034 |
+
"step": 1500
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 3.49,
|
| 1038 |
+
"eval_accuracy": 0.12071005917159763,
|
| 1039 |
+
"eval_loss": 3.557870626449585,
|
| 1040 |
+
"eval_runtime": 21.2599,
|
| 1041 |
+
"eval_samples_per_second": 79.492,
|
| 1042 |
+
"eval_steps_per_second": 9.972,
|
| 1043 |
+
"step": 1500
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 3.51,
|
| 1047 |
+
"learning_rate": 0.0002441860465116279,
|
| 1048 |
+
"loss": 3.3559,
|
| 1049 |
+
"step": 1510
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 3.53,
|
| 1053 |
+
"learning_rate": 0.00023255813953488373,
|
| 1054 |
+
"loss": 3.5068,
|
| 1055 |
+
"step": 1520
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 3.56,
|
| 1059 |
+
"learning_rate": 0.00022093023255813954,
|
| 1060 |
+
"loss": 3.2757,
|
| 1061 |
+
"step": 1530
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 3.58,
|
| 1065 |
+
"learning_rate": 0.00020930232558139536,
|
| 1066 |
+
"loss": 3.5227,
|
| 1067 |
+
"step": 1540
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 3.6,
|
| 1071 |
+
"learning_rate": 0.00019767441860465116,
|
| 1072 |
+
"loss": 3.361,
|
| 1073 |
+
"step": 1550
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 3.63,
|
| 1077 |
+
"learning_rate": 0.00018604651162790697,
|
| 1078 |
+
"loss": 3.327,
|
| 1079 |
+
"step": 1560
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 3.65,
|
| 1083 |
+
"learning_rate": 0.0001744186046511628,
|
| 1084 |
+
"loss": 3.5469,
|
| 1085 |
+
"step": 1570
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 3.67,
|
| 1089 |
+
"learning_rate": 0.00016279069767441862,
|
| 1090 |
+
"loss": 3.4543,
|
| 1091 |
+
"step": 1580
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 3.7,
|
| 1095 |
+
"learning_rate": 0.00015116279069767442,
|
| 1096 |
+
"loss": 3.3873,
|
| 1097 |
+
"step": 1590
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 3.72,
|
| 1101 |
+
"learning_rate": 0.00013953488372093022,
|
| 1102 |
+
"loss": 3.4346,
|
| 1103 |
+
"step": 1600
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 3.72,
|
| 1107 |
+
"eval_accuracy": 0.12485207100591716,
|
| 1108 |
+
"eval_loss": 3.4816746711730957,
|
| 1109 |
+
"eval_runtime": 19.358,
|
| 1110 |
+
"eval_samples_per_second": 87.303,
|
| 1111 |
+
"eval_steps_per_second": 10.952,
|
| 1112 |
+
"step": 1600
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 3.74,
|
| 1116 |
+
"learning_rate": 0.00012790697674418605,
|
| 1117 |
+
"loss": 3.4285,
|
| 1118 |
+
"step": 1610
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 3.77,
|
| 1122 |
+
"learning_rate": 0.00011627906976744187,
|
| 1123 |
+
"loss": 3.423,
|
| 1124 |
+
"step": 1620
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 3.79,
|
| 1128 |
+
"learning_rate": 0.00010465116279069768,
|
| 1129 |
+
"loss": 3.3739,
|
| 1130 |
+
"step": 1630
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 3.81,
|
| 1134 |
+
"learning_rate": 9.302325581395348e-05,
|
| 1135 |
+
"loss": 3.3856,
|
| 1136 |
+
"step": 1640
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 3.84,
|
| 1140 |
+
"learning_rate": 8.139534883720931e-05,
|
| 1141 |
+
"loss": 3.497,
|
| 1142 |
+
"step": 1650
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 3.86,
|
| 1146 |
+
"learning_rate": 6.976744186046511e-05,
|
| 1147 |
+
"loss": 3.4255,
|
| 1148 |
+
"step": 1660
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 3.88,
|
| 1152 |
+
"learning_rate": 5.8139534883720933e-05,
|
| 1153 |
+
"loss": 3.3663,
|
| 1154 |
+
"step": 1670
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 3.91,
|
| 1158 |
+
"learning_rate": 4.651162790697674e-05,
|
| 1159 |
+
"loss": 3.3245,
|
| 1160 |
+
"step": 1680
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 3.93,
|
| 1164 |
+
"learning_rate": 3.4883720930232556e-05,
|
| 1165 |
+
"loss": 3.4052,
|
| 1166 |
+
"step": 1690
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 3.95,
|
| 1170 |
+
"learning_rate": 2.325581395348837e-05,
|
| 1171 |
+
"loss": 3.3995,
|
| 1172 |
+
"step": 1700
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 3.95,
|
| 1176 |
+
"eval_accuracy": 0.13076923076923078,
|
| 1177 |
+
"eval_loss": 3.4589149951934814,
|
| 1178 |
+
"eval_runtime": 20.5788,
|
| 1179 |
+
"eval_samples_per_second": 82.123,
|
| 1180 |
+
"eval_steps_per_second": 10.302,
|
| 1181 |
+
"step": 1700
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 3.98,
|
| 1185 |
+
"learning_rate": 1.1627906976744185e-05,
|
| 1186 |
+
"loss": 3.3319,
|
| 1187 |
+
"step": 1710
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 4.0,
|
| 1191 |
+
"learning_rate": 0.0,
|
| 1192 |
+
"loss": 3.3026,
|
| 1193 |
+
"step": 1720
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 4.0,
|
| 1197 |
+
"step": 1720,
|
| 1198 |
+
"total_flos": 2.1353892586861363e+18,
|
| 1199 |
+
"train_loss": 3.8407227360925007,
|
| 1200 |
+
"train_runtime": 1045.5226,
|
| 1201 |
+
"train_samples_per_second": 26.322,
|
| 1202 |
+
"train_steps_per_second": 1.645
|
| 1203 |
+
}
|
| 1204 |
+
],
|
| 1205 |
+
"max_steps": 1720,
|
| 1206 |
+
"num_train_epochs": 4,
|
| 1207 |
+
"total_flos": 2.1353892586861363e+18,
|
| 1208 |
+
"trial_name": null,
|
| 1209 |
+
"trial_params": null
|
| 1210 |
+
}
|