End of training
Browse files- all_results.json +12 -0
- emissions.csv +2 -0
- eval_results.json +8 -0
- pytorch_model.bin +1 -1
- runs/Oct01_11-32-47_anton-gpu-v100/events.out.tfevents.1633087983.anton-gpu-v100.97311.0 +2 -2
- runs/Oct01_11-32-47_anton-gpu-v100/events.out.tfevents.1633091796.anton-gpu-v100.97311.2 +3 -0
- train_results.json +7 -0
- trainer_state.json +1153 -0
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.7944972826086957,
|
| 4 |
+
"eval_loss": 0.9835737347602844,
|
| 5 |
+
"eval_runtime": 167.4825,
|
| 6 |
+
"eval_samples_per_second": 35.156,
|
| 7 |
+
"eval_steps_per_second": 8.789,
|
| 8 |
+
"train_loss": 1.0006333545797823,
|
| 9 |
+
"train_runtime": 3643.6893,
|
| 10 |
+
"train_samples_per_second": 60.911,
|
| 11 |
+
"train_steps_per_second": 0.475
|
| 12 |
+
}
|
emissions.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
|
| 2 |
+
2021-10-01T12:33:47,2f022d5a-f047-41b6-a149-809aae8bf977,codecarbon,3643.7068734169006,0.2999506914741666,0.5296674756739654,USA,USA,Iowa,Y,gcp,us-central1
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.7944972826086957,
|
| 4 |
+
"eval_loss": 0.9835737347602844,
|
| 5 |
+
"eval_runtime": 167.4825,
|
| 6 |
+
"eval_samples_per_second": 35.156,
|
| 7 |
+
"eval_steps_per_second": 8.789
|
| 8 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378405907
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:394f9e8f7dba622f701d6396f2487226404829bcb112eff009a0d8667caf3eeb
|
| 3 |
size 378405907
|
runs/Oct01_11-32-47_anton-gpu-v100/events.out.tfevents.1633087983.anton-gpu-v100.97311.0
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 sha256:7effca265c8428073e67119dc8d2f4215c47b7292e112e51e55f10ba34c5e48c
|
| 3 |
+
size 37245
|
runs/Oct01_11-32-47_anton-gpu-v100/events.out.tfevents.1633091796.anton-gpu-v100.97311.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:999f23063f5df1185fa26c797947c441311ccb57058853c9fde07779bf843e94
|
| 3 |
+
size 363
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"train_loss": 1.0006333545797823,
|
| 4 |
+
"train_runtime": 3643.6893,
|
| 5 |
+
"train_samples_per_second": 60.911,
|
| 6 |
+
"train_steps_per_second": 0.475
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1153 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9835737347602844,
|
| 3 |
+
"best_model_checkpoint": "wav2vec2-base-lang-id/checkpoint-1557",
|
| 4 |
+
"epoch": 9.997118155619596,
|
| 5 |
+
"global_step": 1730,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.06,
|
| 12 |
+
"learning_rate": 1.7341040462427742e-05,
|
| 13 |
+
"loss": 3.8045,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.12,
|
| 18 |
+
"learning_rate": 3.4682080924855485e-05,
|
| 19 |
+
"loss": 3.795,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.17,
|
| 24 |
+
"learning_rate": 5.2023121387283234e-05,
|
| 25 |
+
"loss": 3.7695,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.23,
|
| 30 |
+
"learning_rate": 6.936416184971097e-05,
|
| 31 |
+
"loss": 3.748,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.29,
|
| 36 |
+
"learning_rate": 8.670520231213873e-05,
|
| 37 |
+
"loss": 3.7078,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.35,
|
| 42 |
+
"learning_rate": 0.00010404624277456647,
|
| 43 |
+
"loss": 3.7034,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.4,
|
| 48 |
+
"learning_rate": 0.00012138728323699421,
|
| 49 |
+
"loss": 3.6422,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.46,
|
| 54 |
+
"learning_rate": 0.00013872832369942194,
|
| 55 |
+
"loss": 3.5837,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.52,
|
| 60 |
+
"learning_rate": 0.00015606936416184968,
|
| 61 |
+
"loss": 3.4935,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.58,
|
| 66 |
+
"learning_rate": 0.00017341040462427745,
|
| 67 |
+
"loss": 3.4542,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.63,
|
| 72 |
+
"learning_rate": 0.0001907514450867052,
|
| 73 |
+
"loss": 3.3921,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.69,
|
| 78 |
+
"learning_rate": 0.00020809248554913294,
|
| 79 |
+
"loss": 3.3001,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.75,
|
| 84 |
+
"learning_rate": 0.00022543352601156065,
|
| 85 |
+
"loss": 3.272,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.81,
|
| 90 |
+
"learning_rate": 0.00024277456647398842,
|
| 91 |
+
"loss": 3.1537,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.86,
|
| 96 |
+
"learning_rate": 0.00026011560693641616,
|
| 97 |
+
"loss": 3.1013,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.92,
|
| 102 |
+
"learning_rate": 0.0002774566473988439,
|
| 103 |
+
"loss": 2.9714,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.98,
|
| 108 |
+
"learning_rate": 0.00029479768786127165,
|
| 109 |
+
"loss": 2.9568,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 1.0,
|
| 114 |
+
"eval_accuracy": 0.11463994565217392,
|
| 115 |
+
"eval_loss": 3.2865560054779053,
|
| 116 |
+
"eval_runtime": 166.1472,
|
| 117 |
+
"eval_samples_per_second": 35.438,
|
| 118 |
+
"eval_steps_per_second": 8.86,
|
| 119 |
+
"step": 173
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 1.04,
|
| 123 |
+
"learning_rate": 0.00029865125240847784,
|
| 124 |
+
"loss": 3.2585,
|
| 125 |
+
"step": 180
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.1,
|
| 129 |
+
"learning_rate": 0.0002967244701348747,
|
| 130 |
+
"loss": 2.9694,
|
| 131 |
+
"step": 190
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.16,
|
| 135 |
+
"learning_rate": 0.00029479768786127165,
|
| 136 |
+
"loss": 2.7459,
|
| 137 |
+
"step": 200
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.21,
|
| 141 |
+
"learning_rate": 0.0002928709055876686,
|
| 142 |
+
"loss": 2.6486,
|
| 143 |
+
"step": 210
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.27,
|
| 147 |
+
"learning_rate": 0.0002909441233140655,
|
| 148 |
+
"loss": 2.6249,
|
| 149 |
+
"step": 220
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.33,
|
| 153 |
+
"learning_rate": 0.0002890173410404624,
|
| 154 |
+
"loss": 2.5935,
|
| 155 |
+
"step": 230
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 1.39,
|
| 159 |
+
"learning_rate": 0.0002870905587668593,
|
| 160 |
+
"loss": 2.422,
|
| 161 |
+
"step": 240
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 1.44,
|
| 165 |
+
"learning_rate": 0.0002851637764932562,
|
| 166 |
+
"loss": 2.4574,
|
| 167 |
+
"step": 250
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 1.5,
|
| 171 |
+
"learning_rate": 0.0002832369942196532,
|
| 172 |
+
"loss": 2.427,
|
| 173 |
+
"step": 260
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 1.56,
|
| 177 |
+
"learning_rate": 0.00028131021194605007,
|
| 178 |
+
"loss": 2.3682,
|
| 179 |
+
"step": 270
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.62,
|
| 183 |
+
"learning_rate": 0.000279383429672447,
|
| 184 |
+
"loss": 2.2995,
|
| 185 |
+
"step": 280
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.67,
|
| 189 |
+
"learning_rate": 0.0002774566473988439,
|
| 190 |
+
"loss": 2.1737,
|
| 191 |
+
"step": 290
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.73,
|
| 195 |
+
"learning_rate": 0.0002755298651252408,
|
| 196 |
+
"loss": 2.1063,
|
| 197 |
+
"step": 300
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 1.79,
|
| 201 |
+
"learning_rate": 0.00027360308285163774,
|
| 202 |
+
"loss": 2.0759,
|
| 203 |
+
"step": 310
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.85,
|
| 207 |
+
"learning_rate": 0.0002716763005780347,
|
| 208 |
+
"loss": 1.9768,
|
| 209 |
+
"step": 320
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.9,
|
| 213 |
+
"learning_rate": 0.00026974951830443155,
|
| 214 |
+
"loss": 2.0376,
|
| 215 |
+
"step": 330
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.96,
|
| 219 |
+
"learning_rate": 0.0002678227360308285,
|
| 220 |
+
"loss": 1.9243,
|
| 221 |
+
"step": 340
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 2.0,
|
| 225 |
+
"eval_accuracy": 0.38400135869565216,
|
| 226 |
+
"eval_loss": 2.124117612838745,
|
| 227 |
+
"eval_runtime": 166.2747,
|
| 228 |
+
"eval_samples_per_second": 35.411,
|
| 229 |
+
"eval_steps_per_second": 8.853,
|
| 230 |
+
"step": 346
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 2.02,
|
| 234 |
+
"learning_rate": 0.0002658959537572254,
|
| 235 |
+
"loss": 1.8395,
|
| 236 |
+
"step": 350
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 2.08,
|
| 240 |
+
"learning_rate": 0.00026396917148362235,
|
| 241 |
+
"loss": 1.7052,
|
| 242 |
+
"step": 360
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 2.14,
|
| 246 |
+
"learning_rate": 0.00026204238921001923,
|
| 247 |
+
"loss": 1.6084,
|
| 248 |
+
"step": 370
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 2.2,
|
| 252 |
+
"learning_rate": 0.00026011560693641616,
|
| 253 |
+
"loss": 1.5298,
|
| 254 |
+
"step": 380
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 2.25,
|
| 258 |
+
"learning_rate": 0.0002581888246628131,
|
| 259 |
+
"loss": 1.5755,
|
| 260 |
+
"step": 390
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 2.31,
|
| 264 |
+
"learning_rate": 0.00025626204238921,
|
| 265 |
+
"loss": 1.4869,
|
| 266 |
+
"step": 400
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 2.37,
|
| 270 |
+
"learning_rate": 0.0002543352601156069,
|
| 271 |
+
"loss": 1.5374,
|
| 272 |
+
"step": 410
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 2.43,
|
| 276 |
+
"learning_rate": 0.00025240847784200384,
|
| 277 |
+
"loss": 1.448,
|
| 278 |
+
"step": 420
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 2.48,
|
| 282 |
+
"learning_rate": 0.00025048169556840077,
|
| 283 |
+
"loss": 1.4246,
|
| 284 |
+
"step": 430
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 2.54,
|
| 288 |
+
"learning_rate": 0.00024855491329479765,
|
| 289 |
+
"loss": 1.4545,
|
| 290 |
+
"step": 440
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 2.6,
|
| 294 |
+
"learning_rate": 0.0002466281310211946,
|
| 295 |
+
"loss": 1.4417,
|
| 296 |
+
"step": 450
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.66,
|
| 300 |
+
"learning_rate": 0.00024470134874759146,
|
| 301 |
+
"loss": 1.3385,
|
| 302 |
+
"step": 460
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 2.71,
|
| 306 |
+
"learning_rate": 0.00024277456647398842,
|
| 307 |
+
"loss": 1.4229,
|
| 308 |
+
"step": 470
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 2.77,
|
| 312 |
+
"learning_rate": 0.00024084778420038535,
|
| 313 |
+
"loss": 1.4225,
|
| 314 |
+
"step": 480
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 2.83,
|
| 318 |
+
"learning_rate": 0.00023892100192678226,
|
| 319 |
+
"loss": 1.4259,
|
| 320 |
+
"step": 490
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 2.89,
|
| 324 |
+
"learning_rate": 0.00023699421965317916,
|
| 325 |
+
"loss": 1.3656,
|
| 326 |
+
"step": 500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 2.95,
|
| 330 |
+
"learning_rate": 0.00023506743737957607,
|
| 331 |
+
"loss": 1.2923,
|
| 332 |
+
"step": 510
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 3.0,
|
| 336 |
+
"eval_accuracy": 0.5489130434782609,
|
| 337 |
+
"eval_loss": 1.5498348474502563,
|
| 338 |
+
"eval_runtime": 166.2498,
|
| 339 |
+
"eval_samples_per_second": 35.417,
|
| 340 |
+
"eval_steps_per_second": 8.854,
|
| 341 |
+
"step": 519
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 3.01,
|
| 345 |
+
"learning_rate": 0.00023314065510597303,
|
| 346 |
+
"loss": 1.3854,
|
| 347 |
+
"step": 520
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 3.06,
|
| 351 |
+
"learning_rate": 0.00023121387283236994,
|
| 352 |
+
"loss": 1.1289,
|
| 353 |
+
"step": 530
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 3.12,
|
| 357 |
+
"learning_rate": 0.00022928709055876684,
|
| 358 |
+
"loss": 0.921,
|
| 359 |
+
"step": 540
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 3.18,
|
| 363 |
+
"learning_rate": 0.00022736030828516375,
|
| 364 |
+
"loss": 1.004,
|
| 365 |
+
"step": 550
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 3.24,
|
| 369 |
+
"learning_rate": 0.00022543352601156065,
|
| 370 |
+
"loss": 1.0642,
|
| 371 |
+
"step": 560
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 3.29,
|
| 375 |
+
"learning_rate": 0.0002235067437379576,
|
| 376 |
+
"loss": 1.0275,
|
| 377 |
+
"step": 570
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 3.35,
|
| 381 |
+
"learning_rate": 0.00022157996146435452,
|
| 382 |
+
"loss": 0.9369,
|
| 383 |
+
"step": 580
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 3.41,
|
| 387 |
+
"learning_rate": 0.00021965317919075142,
|
| 388 |
+
"loss": 0.9486,
|
| 389 |
+
"step": 590
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 3.47,
|
| 393 |
+
"learning_rate": 0.00021772639691714833,
|
| 394 |
+
"loss": 1.0021,
|
| 395 |
+
"step": 600
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 3.52,
|
| 399 |
+
"learning_rate": 0.00021579961464354526,
|
| 400 |
+
"loss": 0.8916,
|
| 401 |
+
"step": 610
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 3.58,
|
| 405 |
+
"learning_rate": 0.0002138728323699422,
|
| 406 |
+
"loss": 0.9455,
|
| 407 |
+
"step": 620
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 3.64,
|
| 411 |
+
"learning_rate": 0.0002119460500963391,
|
| 412 |
+
"loss": 0.9796,
|
| 413 |
+
"step": 630
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 3.7,
|
| 417 |
+
"learning_rate": 0.000210019267822736,
|
| 418 |
+
"loss": 0.8681,
|
| 419 |
+
"step": 640
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 3.76,
|
| 423 |
+
"learning_rate": 0.00020809248554913294,
|
| 424 |
+
"loss": 0.948,
|
| 425 |
+
"step": 650
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 3.81,
|
| 429 |
+
"learning_rate": 0.00020616570327552984,
|
| 430 |
+
"loss": 0.9276,
|
| 431 |
+
"step": 660
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 3.87,
|
| 435 |
+
"learning_rate": 0.00020423892100192677,
|
| 436 |
+
"loss": 0.847,
|
| 437 |
+
"step": 670
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 3.93,
|
| 441 |
+
"learning_rate": 0.00020231213872832368,
|
| 442 |
+
"loss": 0.9261,
|
| 443 |
+
"step": 680
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.99,
|
| 447 |
+
"learning_rate": 0.0002003853564547206,
|
| 448 |
+
"loss": 0.8659,
|
| 449 |
+
"step": 690
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 4.0,
|
| 453 |
+
"eval_accuracy": 0.6126019021739131,
|
| 454 |
+
"eval_loss": 1.4952939748764038,
|
| 455 |
+
"eval_runtime": 165.9075,
|
| 456 |
+
"eval_samples_per_second": 35.49,
|
| 457 |
+
"eval_steps_per_second": 8.872,
|
| 458 |
+
"step": 692
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 4.05,
|
| 462 |
+
"learning_rate": 0.00019845857418111752,
|
| 463 |
+
"loss": 0.6758,
|
| 464 |
+
"step": 700
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 4.1,
|
| 468 |
+
"learning_rate": 0.00019653179190751442,
|
| 469 |
+
"loss": 0.5885,
|
| 470 |
+
"step": 710
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 4.16,
|
| 474 |
+
"learning_rate": 0.00019460500963391133,
|
| 475 |
+
"loss": 0.6432,
|
| 476 |
+
"step": 720
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 4.22,
|
| 480 |
+
"learning_rate": 0.0001926782273603083,
|
| 481 |
+
"loss": 0.6774,
|
| 482 |
+
"step": 730
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 4.28,
|
| 486 |
+
"learning_rate": 0.0001907514450867052,
|
| 487 |
+
"loss": 0.7333,
|
| 488 |
+
"step": 740
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 4.33,
|
| 492 |
+
"learning_rate": 0.0001888246628131021,
|
| 493 |
+
"loss": 0.6775,
|
| 494 |
+
"step": 750
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 4.39,
|
| 498 |
+
"learning_rate": 0.000186897880539499,
|
| 499 |
+
"loss": 0.6461,
|
| 500 |
+
"step": 760
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 4.45,
|
| 504 |
+
"learning_rate": 0.0001849710982658959,
|
| 505 |
+
"loss": 0.6192,
|
| 506 |
+
"step": 770
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 4.51,
|
| 510 |
+
"learning_rate": 0.00018304431599229287,
|
| 511 |
+
"loss": 0.569,
|
| 512 |
+
"step": 780
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 4.56,
|
| 516 |
+
"learning_rate": 0.00018131021194605008,
|
| 517 |
+
"loss": 0.6447,
|
| 518 |
+
"step": 790
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 4.62,
|
| 522 |
+
"learning_rate": 0.00017938342967244698,
|
| 523 |
+
"loss": 0.556,
|
| 524 |
+
"step": 800
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 4.68,
|
| 528 |
+
"learning_rate": 0.0001774566473988439,
|
| 529 |
+
"loss": 0.6883,
|
| 530 |
+
"step": 810
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 4.74,
|
| 534 |
+
"learning_rate": 0.00017552986512524085,
|
| 535 |
+
"loss": 0.6146,
|
| 536 |
+
"step": 820
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 4.8,
|
| 540 |
+
"learning_rate": 0.00017360308285163775,
|
| 541 |
+
"loss": 0.6318,
|
| 542 |
+
"step": 830
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 4.85,
|
| 546 |
+
"learning_rate": 0.00017167630057803466,
|
| 547 |
+
"loss": 0.5785,
|
| 548 |
+
"step": 840
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 4.91,
|
| 552 |
+
"learning_rate": 0.00016974951830443156,
|
| 553 |
+
"loss": 0.6383,
|
| 554 |
+
"step": 850
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 4.97,
|
| 558 |
+
"learning_rate": 0.0001678227360308285,
|
| 559 |
+
"loss": 0.5539,
|
| 560 |
+
"step": 860
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 5.0,
|
| 564 |
+
"eval_accuracy": 0.6925951086956522,
|
| 565 |
+
"eval_loss": 1.2430508136749268,
|
| 566 |
+
"eval_runtime": 166.7541,
|
| 567 |
+
"eval_samples_per_second": 35.309,
|
| 568 |
+
"eval_steps_per_second": 8.827,
|
| 569 |
+
"step": 865
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 5.03,
|
| 573 |
+
"learning_rate": 0.00016589595375722543,
|
| 574 |
+
"loss": 0.5354,
|
| 575 |
+
"step": 870
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 5.09,
|
| 579 |
+
"learning_rate": 0.00016396917148362233,
|
| 580 |
+
"loss": 0.4011,
|
| 581 |
+
"step": 880
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 5.14,
|
| 585 |
+
"learning_rate": 0.00016204238921001924,
|
| 586 |
+
"loss": 0.4009,
|
| 587 |
+
"step": 890
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 5.2,
|
| 591 |
+
"learning_rate": 0.00016011560693641617,
|
| 592 |
+
"loss": 0.459,
|
| 593 |
+
"step": 900
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 5.26,
|
| 597 |
+
"learning_rate": 0.00015818882466281308,
|
| 598 |
+
"loss": 0.3829,
|
| 599 |
+
"step": 910
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 5.32,
|
| 603 |
+
"learning_rate": 0.00015626204238921,
|
| 604 |
+
"loss": 0.428,
|
| 605 |
+
"step": 920
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 5.37,
|
| 609 |
+
"learning_rate": 0.00015433526011560692,
|
| 610 |
+
"loss": 0.4654,
|
| 611 |
+
"step": 930
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 5.43,
|
| 615 |
+
"learning_rate": 0.00015240847784200385,
|
| 616 |
+
"loss": 0.4531,
|
| 617 |
+
"step": 940
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 5.49,
|
| 621 |
+
"learning_rate": 0.00015067437379576106,
|
| 622 |
+
"loss": 0.4221,
|
| 623 |
+
"step": 950
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 5.55,
|
| 627 |
+
"learning_rate": 0.000148747591522158,
|
| 628 |
+
"loss": 0.3927,
|
| 629 |
+
"step": 960
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 5.61,
|
| 633 |
+
"learning_rate": 0.0001468208092485549,
|
| 634 |
+
"loss": 0.4451,
|
| 635 |
+
"step": 970
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 5.66,
|
| 639 |
+
"learning_rate": 0.00014489402697495183,
|
| 640 |
+
"loss": 0.4363,
|
| 641 |
+
"step": 980
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 5.72,
|
| 645 |
+
"learning_rate": 0.00014296724470134873,
|
| 646 |
+
"loss": 0.4583,
|
| 647 |
+
"step": 990
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 5.78,
|
| 651 |
+
"learning_rate": 0.00014104046242774566,
|
| 652 |
+
"loss": 0.3788,
|
| 653 |
+
"step": 1000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 5.84,
|
| 657 |
+
"learning_rate": 0.00013911368015414257,
|
| 658 |
+
"loss": 0.4333,
|
| 659 |
+
"step": 1010
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 5.89,
|
| 663 |
+
"learning_rate": 0.0001371868978805395,
|
| 664 |
+
"loss": 0.3448,
|
| 665 |
+
"step": 1020
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 5.95,
|
| 669 |
+
"learning_rate": 0.0001352601156069364,
|
| 670 |
+
"loss": 0.4101,
|
| 671 |
+
"step": 1030
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 6.0,
|
| 675 |
+
"eval_accuracy": 0.7231657608695652,
|
| 676 |
+
"eval_loss": 1.1443275213241577,
|
| 677 |
+
"eval_runtime": 167.1514,
|
| 678 |
+
"eval_samples_per_second": 35.226,
|
| 679 |
+
"eval_steps_per_second": 8.806,
|
| 680 |
+
"step": 1038
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 6.01,
|
| 684 |
+
"learning_rate": 0.0001333333333333333,
|
| 685 |
+
"loss": 0.4535,
|
| 686 |
+
"step": 1040
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 6.07,
|
| 690 |
+
"learning_rate": 0.00013140655105973025,
|
| 691 |
+
"loss": 0.3461,
|
| 692 |
+
"step": 1050
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 6.13,
|
| 696 |
+
"learning_rate": 0.00012947976878612715,
|
| 697 |
+
"loss": 0.2761,
|
| 698 |
+
"step": 1060
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 6.18,
|
| 702 |
+
"learning_rate": 0.00012755298651252408,
|
| 703 |
+
"loss": 0.2911,
|
| 704 |
+
"step": 1070
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 6.24,
|
| 708 |
+
"learning_rate": 0.000125626204238921,
|
| 709 |
+
"loss": 0.2985,
|
| 710 |
+
"step": 1080
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 6.3,
|
| 714 |
+
"learning_rate": 0.0001236994219653179,
|
| 715 |
+
"loss": 0.2858,
|
| 716 |
+
"step": 1090
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 6.36,
|
| 720 |
+
"learning_rate": 0.00012177263969171483,
|
| 721 |
+
"loss": 0.3162,
|
| 722 |
+
"step": 1100
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 6.41,
|
| 726 |
+
"learning_rate": 0.00011984585741811175,
|
| 727 |
+
"loss": 0.3326,
|
| 728 |
+
"step": 1110
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 6.47,
|
| 732 |
+
"learning_rate": 0.00011791907514450866,
|
| 733 |
+
"loss": 0.3024,
|
| 734 |
+
"step": 1120
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 6.53,
|
| 738 |
+
"learning_rate": 0.00011599229287090558,
|
| 739 |
+
"loss": 0.2981,
|
| 740 |
+
"step": 1130
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 6.59,
|
| 744 |
+
"learning_rate": 0.00011406551059730249,
|
| 745 |
+
"loss": 0.3112,
|
| 746 |
+
"step": 1140
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 6.65,
|
| 750 |
+
"learning_rate": 0.00011213872832369942,
|
| 751 |
+
"loss": 0.2206,
|
| 752 |
+
"step": 1150
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 6.7,
|
| 756 |
+
"learning_rate": 0.00011021194605009633,
|
| 757 |
+
"loss": 0.3052,
|
| 758 |
+
"step": 1160
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 6.76,
|
| 762 |
+
"learning_rate": 0.00010828516377649323,
|
| 763 |
+
"loss": 0.2799,
|
| 764 |
+
"step": 1170
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 6.82,
|
| 768 |
+
"learning_rate": 0.00010635838150289017,
|
| 769 |
+
"loss": 0.2793,
|
| 770 |
+
"step": 1180
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 6.88,
|
| 774 |
+
"learning_rate": 0.00010443159922928707,
|
| 775 |
+
"loss": 0.2992,
|
| 776 |
+
"step": 1190
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 6.93,
|
| 780 |
+
"learning_rate": 0.000102504816955684,
|
| 781 |
+
"loss": 0.3151,
|
| 782 |
+
"step": 1200
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 6.99,
|
| 786 |
+
"learning_rate": 0.00010057803468208092,
|
| 787 |
+
"loss": 0.2945,
|
| 788 |
+
"step": 1210
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 7.0,
|
| 792 |
+
"eval_accuracy": 0.7544157608695652,
|
| 793 |
+
"eval_loss": 1.0869863033294678,
|
| 794 |
+
"eval_runtime": 167.4711,
|
| 795 |
+
"eval_samples_per_second": 35.158,
|
| 796 |
+
"eval_steps_per_second": 8.79,
|
| 797 |
+
"step": 1211
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 7.05,
|
| 801 |
+
"learning_rate": 9.865125240847783e-05,
|
| 802 |
+
"loss": 0.2053,
|
| 803 |
+
"step": 1220
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 7.11,
|
| 807 |
+
"learning_rate": 9.672447013487476e-05,
|
| 808 |
+
"loss": 0.1619,
|
| 809 |
+
"step": 1230
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 7.17,
|
| 813 |
+
"learning_rate": 9.479768786127167e-05,
|
| 814 |
+
"loss": 0.2176,
|
| 815 |
+
"step": 1240
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 7.22,
|
| 819 |
+
"learning_rate": 9.28709055876686e-05,
|
| 820 |
+
"loss": 0.1907,
|
| 821 |
+
"step": 1250
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 7.28,
|
| 825 |
+
"learning_rate": 9.09441233140655e-05,
|
| 826 |
+
"loss": 0.1517,
|
| 827 |
+
"step": 1260
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 7.34,
|
| 831 |
+
"learning_rate": 8.901734104046241e-05,
|
| 832 |
+
"loss": 0.1932,
|
| 833 |
+
"step": 1270
|
| 834 |
+
},
|
| 835 |
+
{
|
| 836 |
+
"epoch": 7.4,
|
| 837 |
+
"learning_rate": 8.709055876685934e-05,
|
| 838 |
+
"loss": 0.2175,
|
| 839 |
+
"step": 1280
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 7.46,
|
| 843 |
+
"learning_rate": 8.516377649325625e-05,
|
| 844 |
+
"loss": 0.1794,
|
| 845 |
+
"step": 1290
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 7.51,
|
| 849 |
+
"learning_rate": 8.323699421965317e-05,
|
| 850 |
+
"loss": 0.1934,
|
| 851 |
+
"step": 1300
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 7.57,
|
| 855 |
+
"learning_rate": 8.131021194605009e-05,
|
| 856 |
+
"loss": 0.2138,
|
| 857 |
+
"step": 1310
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 7.63,
|
| 861 |
+
"learning_rate": 7.9383429672447e-05,
|
| 862 |
+
"loss": 0.1451,
|
| 863 |
+
"step": 1320
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 7.69,
|
| 867 |
+
"learning_rate": 7.745664739884392e-05,
|
| 868 |
+
"loss": 0.1691,
|
| 869 |
+
"step": 1330
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 7.74,
|
| 873 |
+
"learning_rate": 7.552986512524084e-05,
|
| 874 |
+
"loss": 0.1672,
|
| 875 |
+
"step": 1340
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 7.8,
|
| 879 |
+
"learning_rate": 7.360308285163776e-05,
|
| 880 |
+
"loss": 0.2004,
|
| 881 |
+
"step": 1350
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 7.86,
|
| 885 |
+
"learning_rate": 7.167630057803468e-05,
|
| 886 |
+
"loss": 0.1925,
|
| 887 |
+
"step": 1360
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 7.92,
|
| 891 |
+
"learning_rate": 6.974951830443159e-05,
|
| 892 |
+
"loss": 0.1649,
|
| 893 |
+
"step": 1370
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 7.97,
|
| 897 |
+
"learning_rate": 6.78227360308285e-05,
|
| 898 |
+
"loss": 0.1552,
|
| 899 |
+
"step": 1380
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 8.0,
|
| 903 |
+
"eval_accuracy": 0.7661345108695652,
|
| 904 |
+
"eval_loss": 1.1080151796340942,
|
| 905 |
+
"eval_runtime": 167.1864,
|
| 906 |
+
"eval_samples_per_second": 35.218,
|
| 907 |
+
"eval_steps_per_second": 8.805,
|
| 908 |
+
"step": 1384
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 8.03,
|
| 912 |
+
"learning_rate": 6.589595375722542e-05,
|
| 913 |
+
"loss": 0.1643,
|
| 914 |
+
"step": 1390
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 8.09,
|
| 918 |
+
"learning_rate": 6.396917148362234e-05,
|
| 919 |
+
"loss": 0.08,
|
| 920 |
+
"step": 1400
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 8.15,
|
| 924 |
+
"learning_rate": 6.204238921001926e-05,
|
| 925 |
+
"loss": 0.1022,
|
| 926 |
+
"step": 1410
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 8.21,
|
| 930 |
+
"learning_rate": 6.0115606936416174e-05,
|
| 931 |
+
"loss": 0.1466,
|
| 932 |
+
"step": 1420
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 8.27,
|
| 936 |
+
"learning_rate": 5.81888246628131e-05,
|
| 937 |
+
"loss": 0.1262,
|
| 938 |
+
"step": 1430
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 8.32,
|
| 942 |
+
"learning_rate": 5.626204238921002e-05,
|
| 943 |
+
"loss": 0.0895,
|
| 944 |
+
"step": 1440
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 8.38,
|
| 948 |
+
"learning_rate": 5.433526011560694e-05,
|
| 949 |
+
"loss": 0.1155,
|
| 950 |
+
"step": 1450
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 8.44,
|
| 954 |
+
"learning_rate": 5.2408477842003843e-05,
|
| 955 |
+
"loss": 0.1205,
|
| 956 |
+
"step": 1460
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 8.5,
|
| 960 |
+
"learning_rate": 5.048169556840076e-05,
|
| 961 |
+
"loss": 0.1196,
|
| 962 |
+
"step": 1470
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 8.55,
|
| 966 |
+
"learning_rate": 4.855491329479768e-05,
|
| 967 |
+
"loss": 0.1488,
|
| 968 |
+
"step": 1480
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 8.61,
|
| 972 |
+
"learning_rate": 4.66281310211946e-05,
|
| 973 |
+
"loss": 0.1263,
|
| 974 |
+
"step": 1490
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 8.67,
|
| 978 |
+
"learning_rate": 4.470134874759151e-05,
|
| 979 |
+
"loss": 0.1289,
|
| 980 |
+
"step": 1500
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 8.73,
|
| 984 |
+
"learning_rate": 4.277456647398843e-05,
|
| 985 |
+
"loss": 0.1628,
|
| 986 |
+
"step": 1510
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 8.78,
|
| 990 |
+
"learning_rate": 4.084778420038535e-05,
|
| 991 |
+
"loss": 0.1665,
|
| 992 |
+
"step": 1520
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 8.84,
|
| 996 |
+
"learning_rate": 3.892100192678227e-05,
|
| 997 |
+
"loss": 0.1234,
|
| 998 |
+
"step": 1530
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 8.9,
|
| 1002 |
+
"learning_rate": 3.699421965317919e-05,
|
| 1003 |
+
"loss": 0.1146,
|
| 1004 |
+
"step": 1540
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 8.96,
|
| 1008 |
+
"learning_rate": 3.506743737957611e-05,
|
| 1009 |
+
"loss": 0.0968,
|
| 1010 |
+
"step": 1550
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 9.0,
|
| 1014 |
+
"eval_accuracy": 0.7944972826086957,
|
| 1015 |
+
"eval_loss": 0.9835737347602844,
|
| 1016 |
+
"eval_runtime": 167.3463,
|
| 1017 |
+
"eval_samples_per_second": 35.185,
|
| 1018 |
+
"eval_steps_per_second": 8.796,
|
| 1019 |
+
"step": 1557
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 9.02,
|
| 1023 |
+
"learning_rate": 3.314065510597302e-05,
|
| 1024 |
+
"loss": 0.1091,
|
| 1025 |
+
"step": 1560
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 9.07,
|
| 1029 |
+
"learning_rate": 3.121387283236994e-05,
|
| 1030 |
+
"loss": 0.1036,
|
| 1031 |
+
"step": 1570
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 9.13,
|
| 1035 |
+
"learning_rate": 2.9287090558766855e-05,
|
| 1036 |
+
"loss": 0.1183,
|
| 1037 |
+
"step": 1580
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 9.19,
|
| 1041 |
+
"learning_rate": 2.7360308285163774e-05,
|
| 1042 |
+
"loss": 0.0903,
|
| 1043 |
+
"step": 1590
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 9.25,
|
| 1047 |
+
"learning_rate": 2.543352601156069e-05,
|
| 1048 |
+
"loss": 0.0808,
|
| 1049 |
+
"step": 1600
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 9.31,
|
| 1053 |
+
"learning_rate": 2.350674373795761e-05,
|
| 1054 |
+
"loss": 0.0749,
|
| 1055 |
+
"step": 1610
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 9.36,
|
| 1059 |
+
"learning_rate": 2.1579961464354524e-05,
|
| 1060 |
+
"loss": 0.0523,
|
| 1061 |
+
"step": 1620
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 9.42,
|
| 1065 |
+
"learning_rate": 1.9653179190751443e-05,
|
| 1066 |
+
"loss": 0.1112,
|
| 1067 |
+
"step": 1630
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 9.48,
|
| 1071 |
+
"learning_rate": 1.7726396917148362e-05,
|
| 1072 |
+
"loss": 0.0949,
|
| 1073 |
+
"step": 1640
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 9.54,
|
| 1077 |
+
"learning_rate": 1.5799614643545278e-05,
|
| 1078 |
+
"loss": 0.0858,
|
| 1079 |
+
"step": 1650
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 9.59,
|
| 1083 |
+
"learning_rate": 1.3872832369942195e-05,
|
| 1084 |
+
"loss": 0.0603,
|
| 1085 |
+
"step": 1660
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 9.65,
|
| 1089 |
+
"learning_rate": 1.1946050096339112e-05,
|
| 1090 |
+
"loss": 0.0718,
|
| 1091 |
+
"step": 1670
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 9.71,
|
| 1095 |
+
"learning_rate": 1.0019267822736031e-05,
|
| 1096 |
+
"loss": 0.069,
|
| 1097 |
+
"step": 1680
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 9.77,
|
| 1101 |
+
"learning_rate": 8.092485549132947e-06,
|
| 1102 |
+
"loss": 0.0748,
|
| 1103 |
+
"step": 1690
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 9.82,
|
| 1107 |
+
"learning_rate": 6.165703275529864e-06,
|
| 1108 |
+
"loss": 0.0831,
|
| 1109 |
+
"step": 1700
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 9.88,
|
| 1113 |
+
"learning_rate": 4.2389210019267816e-06,
|
| 1114 |
+
"loss": 0.0635,
|
| 1115 |
+
"step": 1710
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 9.94,
|
| 1119 |
+
"learning_rate": 2.3121387283236993e-06,
|
| 1120 |
+
"loss": 0.0675,
|
| 1121 |
+
"step": 1720
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 10.0,
|
| 1125 |
+
"learning_rate": 3.853564547206165e-07,
|
| 1126 |
+
"loss": 0.0623,
|
| 1127 |
+
"step": 1730
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 10.0,
|
| 1131 |
+
"eval_accuracy": 0.7992527173913043,
|
| 1132 |
+
"eval_loss": 1.0252065658569336,
|
| 1133 |
+
"eval_runtime": 167.8251,
|
| 1134 |
+
"eval_samples_per_second": 35.084,
|
| 1135 |
+
"eval_steps_per_second": 8.771,
|
| 1136 |
+
"step": 1730
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 10.0,
|
| 1140 |
+
"step": 1730,
|
| 1141 |
+
"total_flos": 1.8408056270747849e+19,
|
| 1142 |
+
"train_loss": 1.0006333545797823,
|
| 1143 |
+
"train_runtime": 3643.6893,
|
| 1144 |
+
"train_samples_per_second": 60.911,
|
| 1145 |
+
"train_steps_per_second": 0.475
|
| 1146 |
+
}
|
| 1147 |
+
],
|
| 1148 |
+
"max_steps": 1730,
|
| 1149 |
+
"num_train_epochs": 10,
|
| 1150 |
+
"total_flos": 1.8408056270747849e+19,
|
| 1151 |
+
"trial_name": null,
|
| 1152 |
+
"trial_params": null
|
| 1153 |
+
}
|