jonatasgrosman
commited on
Commit
·
4620749
1
Parent(s):
be8595f
End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 11.05,
|
3 |
+
"eval_cer": 5.523625310859353,
|
4 |
+
"eval_loss": 0.302284836769104,
|
5 |
+
"eval_runtime": 192.1941,
|
6 |
+
"eval_samples": 1000,
|
7 |
+
"eval_samples_per_second": 5.203,
|
8 |
+
"eval_steps_per_second": 0.328,
|
9 |
+
"eval_wer": 14.237288135593221,
|
10 |
+
"train_loss": 0.6941633464495341,
|
11 |
+
"train_runtime": 11106.8839,
|
12 |
+
"train_samples_per_second": 28.811,
|
13 |
+
"train_steps_per_second": 0.9
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 11.05,
|
3 |
+
"eval_cer": 5.523625310859353,
|
4 |
+
"eval_loss": 0.302284836769104,
|
5 |
+
"eval_runtime": 192.1941,
|
6 |
+
"eval_samples": 1000,
|
7 |
+
"eval_samples_per_second": 5.203,
|
8 |
+
"eval_steps_per_second": 0.328,
|
9 |
+
"eval_wer": 14.237288135593221
|
10 |
+
}
|
runs/Dec12_20-01-16_jonatas-ubuntu/events.out.tfevents.1670897640.jonatas-ubuntu.1767928.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bf1910f6e455f081810d966c0c6eb24f1e28d617f22aa5f3402792cc26fb550d
|
3 |
+
size 405
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 11.05,
|
3 |
+
"train_loss": 0.6941633464495341,
|
4 |
+
"train_runtime": 11106.8839,
|
5 |
+
"train_samples_per_second": 28.811,
|
6 |
+
"train_steps_per_second": 0.9
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1585 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 14.237288135593221,
|
3 |
+
"best_model_checkpoint": "whisper-small-pt-cv11-v4_2/checkpoint-4500",
|
4 |
+
"epoch": 11.049723756906078,
|
5 |
+
"global_step": 6000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.05,
|
12 |
+
"learning_rate": 1.0500000000000001e-07,
|
13 |
+
"loss": 2.896,
|
14 |
+
"step": 25
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.09,
|
18 |
+
"learning_rate": 2.3000000000000002e-07,
|
19 |
+
"loss": 2.8972,
|
20 |
+
"step": 50
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.14,
|
24 |
+
"learning_rate": 3.55e-07,
|
25 |
+
"loss": 2.8065,
|
26 |
+
"step": 75
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.18,
|
30 |
+
"learning_rate": 4.800000000000001e-07,
|
31 |
+
"loss": 2.5992,
|
32 |
+
"step": 100
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.23,
|
36 |
+
"learning_rate": 6.05e-07,
|
37 |
+
"loss": 2.3887,
|
38 |
+
"step": 125
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.28,
|
42 |
+
"learning_rate": 7.3e-07,
|
43 |
+
"loss": 2.2139,
|
44 |
+
"step": 150
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.32,
|
48 |
+
"learning_rate": 8.550000000000002e-07,
|
49 |
+
"loss": 2.0286,
|
50 |
+
"step": 175
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.37,
|
54 |
+
"learning_rate": 9.800000000000001e-07,
|
55 |
+
"loss": 1.8338,
|
56 |
+
"step": 200
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.41,
|
60 |
+
"learning_rate": 1.105e-06,
|
61 |
+
"loss": 1.5814,
|
62 |
+
"step": 225
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.46,
|
66 |
+
"learning_rate": 1.23e-06,
|
67 |
+
"loss": 1.3991,
|
68 |
+
"step": 250
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.51,
|
72 |
+
"learning_rate": 1.3550000000000002e-06,
|
73 |
+
"loss": 1.4435,
|
74 |
+
"step": 275
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.55,
|
78 |
+
"learning_rate": 1.48e-06,
|
79 |
+
"loss": 1.3595,
|
80 |
+
"step": 300
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.6,
|
84 |
+
"learning_rate": 1.605e-06,
|
85 |
+
"loss": 1.3124,
|
86 |
+
"step": 325
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.64,
|
90 |
+
"learning_rate": 1.73e-06,
|
91 |
+
"loss": 1.2619,
|
92 |
+
"step": 350
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.69,
|
96 |
+
"learning_rate": 1.8550000000000002e-06,
|
97 |
+
"loss": 1.2197,
|
98 |
+
"step": 375
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.74,
|
102 |
+
"learning_rate": 1.98e-06,
|
103 |
+
"loss": 1.1799,
|
104 |
+
"step": 400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.78,
|
108 |
+
"learning_rate": 2.105e-06,
|
109 |
+
"loss": 1.149,
|
110 |
+
"step": 425
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.83,
|
114 |
+
"learning_rate": 2.2300000000000002e-06,
|
115 |
+
"loss": 1.2276,
|
116 |
+
"step": 450
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.87,
|
120 |
+
"learning_rate": 2.355e-06,
|
121 |
+
"loss": 1.1621,
|
122 |
+
"step": 475
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.92,
|
126 |
+
"learning_rate": 2.4800000000000004e-06,
|
127 |
+
"loss": 1.1113,
|
128 |
+
"step": 500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.92,
|
132 |
+
"eval_cer": 6.791931472782537,
|
133 |
+
"eval_loss": 0.3896943926811218,
|
134 |
+
"eval_runtime": 192.8939,
|
135 |
+
"eval_samples_per_second": 5.184,
|
136 |
+
"eval_steps_per_second": 0.327,
|
137 |
+
"eval_wer": 16.87211093990755,
|
138 |
+
"step": 500
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 0.97,
|
142 |
+
"learning_rate": 2.6050000000000005e-06,
|
143 |
+
"loss": 1.0856,
|
144 |
+
"step": 525
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 1.01,
|
148 |
+
"learning_rate": 2.7300000000000005e-06,
|
149 |
+
"loss": 1.0536,
|
150 |
+
"step": 550
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 1.06,
|
154 |
+
"learning_rate": 2.855e-06,
|
155 |
+
"loss": 1.0266,
|
156 |
+
"step": 575
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.1,
|
160 |
+
"learning_rate": 2.9800000000000003e-06,
|
161 |
+
"loss": 1.0755,
|
162 |
+
"step": 600
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.15,
|
166 |
+
"learning_rate": 3.1050000000000003e-06,
|
167 |
+
"loss": 0.974,
|
168 |
+
"step": 625
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.2,
|
172 |
+
"learning_rate": 3.2300000000000004e-06,
|
173 |
+
"loss": 1.0042,
|
174 |
+
"step": 650
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.24,
|
178 |
+
"learning_rate": 3.3550000000000005e-06,
|
179 |
+
"loss": 1.0075,
|
180 |
+
"step": 675
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 1.29,
|
184 |
+
"learning_rate": 3.48e-06,
|
185 |
+
"loss": 1.0212,
|
186 |
+
"step": 700
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.34,
|
190 |
+
"learning_rate": 3.6050000000000002e-06,
|
191 |
+
"loss": 0.9171,
|
192 |
+
"step": 725
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 1.38,
|
196 |
+
"learning_rate": 3.7300000000000003e-06,
|
197 |
+
"loss": 0.9601,
|
198 |
+
"step": 750
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.43,
|
202 |
+
"learning_rate": 3.855e-06,
|
203 |
+
"loss": 0.9757,
|
204 |
+
"step": 775
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.47,
|
208 |
+
"learning_rate": 3.980000000000001e-06,
|
209 |
+
"loss": 0.9636,
|
210 |
+
"step": 800
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.52,
|
214 |
+
"learning_rate": 4.1050000000000005e-06,
|
215 |
+
"loss": 0.9497,
|
216 |
+
"step": 825
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.57,
|
220 |
+
"learning_rate": 4.23e-06,
|
221 |
+
"loss": 0.9699,
|
222 |
+
"step": 850
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 1.61,
|
226 |
+
"learning_rate": 4.355000000000001e-06,
|
227 |
+
"loss": 0.9353,
|
228 |
+
"step": 875
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.66,
|
232 |
+
"learning_rate": 4.48e-06,
|
233 |
+
"loss": 0.9322,
|
234 |
+
"step": 900
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.7,
|
238 |
+
"learning_rate": 4.605000000000001e-06,
|
239 |
+
"loss": 0.9297,
|
240 |
+
"step": 925
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.75,
|
244 |
+
"learning_rate": 4.7300000000000005e-06,
|
245 |
+
"loss": 0.9201,
|
246 |
+
"step": 950
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 1.8,
|
250 |
+
"learning_rate": 4.855e-06,
|
251 |
+
"loss": 0.8761,
|
252 |
+
"step": 975
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.84,
|
256 |
+
"learning_rate": 4.980000000000001e-06,
|
257 |
+
"loss": 0.9009,
|
258 |
+
"step": 1000
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.84,
|
262 |
+
"eval_cer": 6.231003039513678,
|
263 |
+
"eval_loss": 0.331758975982666,
|
264 |
+
"eval_runtime": 194.6762,
|
265 |
+
"eval_samples_per_second": 5.137,
|
266 |
+
"eval_steps_per_second": 0.324,
|
267 |
+
"eval_wer": 15.932203389830507,
|
268 |
+
"step": 1000
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.89,
|
272 |
+
"learning_rate": 4.9883333333333336e-06,
|
273 |
+
"loss": 0.8478,
|
274 |
+
"step": 1025
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 1.93,
|
278 |
+
"learning_rate": 4.974444444444445e-06,
|
279 |
+
"loss": 0.8491,
|
280 |
+
"step": 1050
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 1.98,
|
284 |
+
"learning_rate": 4.9605555555555564e-06,
|
285 |
+
"loss": 0.8931,
|
286 |
+
"step": 1075
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 2.03,
|
290 |
+
"learning_rate": 4.946666666666667e-06,
|
291 |
+
"loss": 0.8313,
|
292 |
+
"step": 1100
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 2.07,
|
296 |
+
"learning_rate": 4.932777777777778e-06,
|
297 |
+
"loss": 0.7996,
|
298 |
+
"step": 1125
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 2.12,
|
302 |
+
"learning_rate": 4.918888888888889e-06,
|
303 |
+
"loss": 0.8184,
|
304 |
+
"step": 1150
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 2.16,
|
308 |
+
"learning_rate": 4.9050000000000005e-06,
|
309 |
+
"loss": 0.8026,
|
310 |
+
"step": 1175
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.21,
|
314 |
+
"learning_rate": 4.891111111111111e-06,
|
315 |
+
"loss": 0.7925,
|
316 |
+
"step": 1200
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 2.26,
|
320 |
+
"learning_rate": 4.8772222222222225e-06,
|
321 |
+
"loss": 0.8085,
|
322 |
+
"step": 1225
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 2.3,
|
326 |
+
"learning_rate": 4.863333333333334e-06,
|
327 |
+
"loss": 0.7819,
|
328 |
+
"step": 1250
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 2.35,
|
332 |
+
"learning_rate": 4.849444444444445e-06,
|
333 |
+
"loss": 0.7734,
|
334 |
+
"step": 1275
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 2.39,
|
338 |
+
"learning_rate": 4.835555555555556e-06,
|
339 |
+
"loss": 0.7978,
|
340 |
+
"step": 1300
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 2.44,
|
344 |
+
"learning_rate": 4.821666666666667e-06,
|
345 |
+
"loss": 0.7987,
|
346 |
+
"step": 1325
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 2.49,
|
350 |
+
"learning_rate": 4.807777777777779e-06,
|
351 |
+
"loss": 0.7843,
|
352 |
+
"step": 1350
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 2.53,
|
356 |
+
"learning_rate": 4.793888888888889e-06,
|
357 |
+
"loss": 0.7916,
|
358 |
+
"step": 1375
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 2.58,
|
362 |
+
"learning_rate": 4.78e-06,
|
363 |
+
"loss": 0.7978,
|
364 |
+
"step": 1400
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 2.62,
|
368 |
+
"learning_rate": 4.766111111111111e-06,
|
369 |
+
"loss": 0.7801,
|
370 |
+
"step": 1425
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 2.67,
|
374 |
+
"learning_rate": 4.752222222222223e-06,
|
375 |
+
"loss": 0.7604,
|
376 |
+
"step": 1450
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 2.72,
|
380 |
+
"learning_rate": 4.7383333333333334e-06,
|
381 |
+
"loss": 0.7827,
|
382 |
+
"step": 1475
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 2.76,
|
386 |
+
"learning_rate": 4.724444444444445e-06,
|
387 |
+
"loss": 0.7631,
|
388 |
+
"step": 1500
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 2.76,
|
392 |
+
"eval_cer": 5.893893340701852,
|
393 |
+
"eval_loss": 0.317706823348999,
|
394 |
+
"eval_runtime": 195.4814,
|
395 |
+
"eval_samples_per_second": 5.116,
|
396 |
+
"eval_steps_per_second": 0.322,
|
397 |
+
"eval_wer": 15.485362095531588,
|
398 |
+
"step": 1500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 2.81,
|
402 |
+
"learning_rate": 4.710555555555556e-06,
|
403 |
+
"loss": 0.7634,
|
404 |
+
"step": 1525
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 2.85,
|
408 |
+
"learning_rate": 4.696666666666667e-06,
|
409 |
+
"loss": 0.768,
|
410 |
+
"step": 1550
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.9,
|
414 |
+
"learning_rate": 4.682777777777778e-06,
|
415 |
+
"loss": 0.7462,
|
416 |
+
"step": 1575
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 2.95,
|
420 |
+
"learning_rate": 4.66888888888889e-06,
|
421 |
+
"loss": 0.7295,
|
422 |
+
"step": 1600
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 2.99,
|
426 |
+
"learning_rate": 4.655e-06,
|
427 |
+
"loss": 0.7625,
|
428 |
+
"step": 1625
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 3.04,
|
432 |
+
"learning_rate": 4.641111111111111e-06,
|
433 |
+
"loss": 0.697,
|
434 |
+
"step": 1650
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 3.08,
|
438 |
+
"learning_rate": 4.627222222222222e-06,
|
439 |
+
"loss": 0.7002,
|
440 |
+
"step": 1675
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 3.13,
|
444 |
+
"learning_rate": 4.613333333333334e-06,
|
445 |
+
"loss": 0.675,
|
446 |
+
"step": 1700
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 3.18,
|
450 |
+
"learning_rate": 4.599444444444444e-06,
|
451 |
+
"loss": 0.6891,
|
452 |
+
"step": 1725
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 3.22,
|
456 |
+
"learning_rate": 4.585555555555556e-06,
|
457 |
+
"loss": 0.6812,
|
458 |
+
"step": 1750
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 3.27,
|
462 |
+
"learning_rate": 4.571666666666667e-06,
|
463 |
+
"loss": 0.7044,
|
464 |
+
"step": 1775
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 3.31,
|
468 |
+
"learning_rate": 4.557777777777778e-06,
|
469 |
+
"loss": 0.6219,
|
470 |
+
"step": 1800
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 3.36,
|
474 |
+
"learning_rate": 4.543888888888889e-06,
|
475 |
+
"loss": 0.6708,
|
476 |
+
"step": 1825
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 3.41,
|
480 |
+
"learning_rate": 4.530000000000001e-06,
|
481 |
+
"loss": 0.7114,
|
482 |
+
"step": 1850
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 3.45,
|
486 |
+
"learning_rate": 4.516111111111111e-06,
|
487 |
+
"loss": 0.6869,
|
488 |
+
"step": 1875
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 3.5,
|
492 |
+
"learning_rate": 4.502222222222223e-06,
|
493 |
+
"loss": 0.6751,
|
494 |
+
"step": 1900
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 3.55,
|
498 |
+
"learning_rate": 4.488333333333333e-06,
|
499 |
+
"loss": 0.7053,
|
500 |
+
"step": 1925
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 3.59,
|
504 |
+
"learning_rate": 4.474444444444445e-06,
|
505 |
+
"loss": 0.7169,
|
506 |
+
"step": 1950
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 3.64,
|
510 |
+
"learning_rate": 4.460555555555556e-06,
|
511 |
+
"loss": 0.679,
|
512 |
+
"step": 1975
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 3.68,
|
516 |
+
"learning_rate": 4.446666666666667e-06,
|
517 |
+
"loss": 0.7163,
|
518 |
+
"step": 2000
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 3.68,
|
522 |
+
"eval_cer": 5.797181541862393,
|
523 |
+
"eval_loss": 0.3130023181438446,
|
524 |
+
"eval_runtime": 195.4882,
|
525 |
+
"eval_samples_per_second": 5.115,
|
526 |
+
"eval_steps_per_second": 0.322,
|
527 |
+
"eval_wer": 14.899845916795067,
|
528 |
+
"step": 2000
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 3.73,
|
532 |
+
"learning_rate": 4.432777777777778e-06,
|
533 |
+
"loss": 0.6868,
|
534 |
+
"step": 2025
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 3.78,
|
538 |
+
"learning_rate": 4.41888888888889e-06,
|
539 |
+
"loss": 0.6776,
|
540 |
+
"step": 2050
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 3.82,
|
544 |
+
"learning_rate": 4.405e-06,
|
545 |
+
"loss": 0.6681,
|
546 |
+
"step": 2075
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 3.87,
|
550 |
+
"learning_rate": 4.391111111111112e-06,
|
551 |
+
"loss": 0.7182,
|
552 |
+
"step": 2100
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 3.91,
|
556 |
+
"learning_rate": 4.377222222222223e-06,
|
557 |
+
"loss": 0.7055,
|
558 |
+
"step": 2125
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 3.96,
|
562 |
+
"learning_rate": 4.363333333333334e-06,
|
563 |
+
"loss": 0.6449,
|
564 |
+
"step": 2150
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 4.01,
|
568 |
+
"learning_rate": 4.349444444444445e-06,
|
569 |
+
"loss": 0.6913,
|
570 |
+
"step": 2175
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 4.05,
|
574 |
+
"learning_rate": 4.3355555555555565e-06,
|
575 |
+
"loss": 0.6075,
|
576 |
+
"step": 2200
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 4.1,
|
580 |
+
"learning_rate": 4.321666666666667e-06,
|
581 |
+
"loss": 0.6183,
|
582 |
+
"step": 2225
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 4.14,
|
586 |
+
"learning_rate": 4.307777777777778e-06,
|
587 |
+
"loss": 0.6472,
|
588 |
+
"step": 2250
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 4.19,
|
592 |
+
"learning_rate": 4.293888888888889e-06,
|
593 |
+
"loss": 0.6082,
|
594 |
+
"step": 2275
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 4.24,
|
598 |
+
"learning_rate": 4.2800000000000005e-06,
|
599 |
+
"loss": 0.617,
|
600 |
+
"step": 2300
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 4.28,
|
604 |
+
"learning_rate": 4.266111111111111e-06,
|
605 |
+
"loss": 0.6224,
|
606 |
+
"step": 2325
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 4.33,
|
610 |
+
"learning_rate": 4.2522222222222225e-06,
|
611 |
+
"loss": 0.621,
|
612 |
+
"step": 2350
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 4.37,
|
616 |
+
"learning_rate": 4.238333333333334e-06,
|
617 |
+
"loss": 0.6287,
|
618 |
+
"step": 2375
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 4.42,
|
622 |
+
"learning_rate": 4.2244444444444446e-06,
|
623 |
+
"loss": 0.5887,
|
624 |
+
"step": 2400
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 4.47,
|
628 |
+
"learning_rate": 4.210555555555556e-06,
|
629 |
+
"loss": 0.6475,
|
630 |
+
"step": 2425
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 4.51,
|
634 |
+
"learning_rate": 4.1966666666666674e-06,
|
635 |
+
"loss": 0.6084,
|
636 |
+
"step": 2450
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 4.56,
|
640 |
+
"learning_rate": 4.182777777777778e-06,
|
641 |
+
"loss": 0.6165,
|
642 |
+
"step": 2475
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 4.6,
|
646 |
+
"learning_rate": 4.168888888888889e-06,
|
647 |
+
"loss": 0.6334,
|
648 |
+
"step": 2500
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 4.6,
|
652 |
+
"eval_cer": 5.686653771760155,
|
653 |
+
"eval_loss": 0.3033701181411743,
|
654 |
+
"eval_runtime": 194.8371,
|
655 |
+
"eval_samples_per_second": 5.132,
|
656 |
+
"eval_steps_per_second": 0.323,
|
657 |
+
"eval_wer": 14.791987673343607,
|
658 |
+
"step": 2500
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 4.65,
|
662 |
+
"learning_rate": 4.155e-06,
|
663 |
+
"loss": 0.6216,
|
664 |
+
"step": 2525
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 4.7,
|
668 |
+
"learning_rate": 4.1411111111111115e-06,
|
669 |
+
"loss": 0.6087,
|
670 |
+
"step": 2550
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 4.74,
|
674 |
+
"learning_rate": 4.127222222222222e-06,
|
675 |
+
"loss": 0.5892,
|
676 |
+
"step": 2575
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 4.79,
|
680 |
+
"learning_rate": 4.1133333333333335e-06,
|
681 |
+
"loss": 0.6139,
|
682 |
+
"step": 2600
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 4.83,
|
686 |
+
"learning_rate": 4.099444444444445e-06,
|
687 |
+
"loss": 0.639,
|
688 |
+
"step": 2625
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 4.88,
|
692 |
+
"learning_rate": 4.085555555555556e-06,
|
693 |
+
"loss": 0.6201,
|
694 |
+
"step": 2650
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 4.93,
|
698 |
+
"learning_rate": 4.071666666666667e-06,
|
699 |
+
"loss": 0.6029,
|
700 |
+
"step": 2675
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 4.97,
|
704 |
+
"learning_rate": 4.057777777777778e-06,
|
705 |
+
"loss": 0.6426,
|
706 |
+
"step": 2700
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 5.02,
|
710 |
+
"learning_rate": 4.04388888888889e-06,
|
711 |
+
"loss": 0.6085,
|
712 |
+
"step": 2725
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 5.06,
|
716 |
+
"learning_rate": 4.03e-06,
|
717 |
+
"loss": 0.5573,
|
718 |
+
"step": 2750
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 5.11,
|
722 |
+
"learning_rate": 4.016111111111111e-06,
|
723 |
+
"loss": 0.554,
|
724 |
+
"step": 2775
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 5.16,
|
728 |
+
"learning_rate": 4.002222222222222e-06,
|
729 |
+
"loss": 0.5427,
|
730 |
+
"step": 2800
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 5.2,
|
734 |
+
"learning_rate": 3.988333333333334e-06,
|
735 |
+
"loss": 0.5982,
|
736 |
+
"step": 2825
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 5.25,
|
740 |
+
"learning_rate": 3.974444444444444e-06,
|
741 |
+
"loss": 0.5579,
|
742 |
+
"step": 2850
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 5.29,
|
746 |
+
"learning_rate": 3.960555555555556e-06,
|
747 |
+
"loss": 0.5616,
|
748 |
+
"step": 2875
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 5.34,
|
752 |
+
"learning_rate": 3.946666666666667e-06,
|
753 |
+
"loss": 0.5577,
|
754 |
+
"step": 2900
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 5.39,
|
758 |
+
"learning_rate": 3.932777777777778e-06,
|
759 |
+
"loss": 0.5384,
|
760 |
+
"step": 2925
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 5.43,
|
764 |
+
"learning_rate": 3.918888888888889e-06,
|
765 |
+
"loss": 0.5388,
|
766 |
+
"step": 2950
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 5.48,
|
770 |
+
"learning_rate": 3.905000000000001e-06,
|
771 |
+
"loss": 0.5828,
|
772 |
+
"step": 2975
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 5.52,
|
776 |
+
"learning_rate": 3.891111111111111e-06,
|
777 |
+
"loss": 0.5746,
|
778 |
+
"step": 3000
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 5.52,
|
782 |
+
"eval_cer": 5.639679469466703,
|
783 |
+
"eval_loss": 0.3028756082057953,
|
784 |
+
"eval_runtime": 194.4573,
|
785 |
+
"eval_samples_per_second": 5.143,
|
786 |
+
"eval_steps_per_second": 0.324,
|
787 |
+
"eval_wer": 14.622496147919877,
|
788 |
+
"step": 3000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 5.57,
|
792 |
+
"learning_rate": 3.877222222222223e-06,
|
793 |
+
"loss": 0.5889,
|
794 |
+
"step": 3025
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 5.62,
|
798 |
+
"learning_rate": 3.863333333333333e-06,
|
799 |
+
"loss": 0.5638,
|
800 |
+
"step": 3050
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 5.66,
|
804 |
+
"learning_rate": 3.849444444444445e-06,
|
805 |
+
"loss": 0.5671,
|
806 |
+
"step": 3075
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 5.71,
|
810 |
+
"learning_rate": 3.835555555555555e-06,
|
811 |
+
"loss": 0.5558,
|
812 |
+
"step": 3100
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 5.76,
|
816 |
+
"learning_rate": 3.821666666666667e-06,
|
817 |
+
"loss": 0.6015,
|
818 |
+
"step": 3125
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 5.8,
|
822 |
+
"learning_rate": 3.8077777777777782e-06,
|
823 |
+
"loss": 0.5976,
|
824 |
+
"step": 3150
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 5.85,
|
828 |
+
"learning_rate": 3.7938888888888892e-06,
|
829 |
+
"loss": 0.5681,
|
830 |
+
"step": 3175
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 5.89,
|
834 |
+
"learning_rate": 3.7800000000000002e-06,
|
835 |
+
"loss": 0.5663,
|
836 |
+
"step": 3200
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 5.94,
|
840 |
+
"learning_rate": 3.7661111111111117e-06,
|
841 |
+
"loss": 0.6237,
|
842 |
+
"step": 3225
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 5.99,
|
846 |
+
"learning_rate": 3.7522222222222227e-06,
|
847 |
+
"loss": 0.5551,
|
848 |
+
"step": 3250
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 6.03,
|
852 |
+
"learning_rate": 3.7383333333333337e-06,
|
853 |
+
"loss": 0.5262,
|
854 |
+
"step": 3275
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 6.08,
|
858 |
+
"learning_rate": 3.724444444444445e-06,
|
859 |
+
"loss": 0.5251,
|
860 |
+
"step": 3300
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 6.12,
|
864 |
+
"learning_rate": 3.710555555555556e-06,
|
865 |
+
"loss": 0.5494,
|
866 |
+
"step": 3325
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 6.17,
|
870 |
+
"learning_rate": 3.6966666666666667e-06,
|
871 |
+
"loss": 0.5059,
|
872 |
+
"step": 3350
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 6.22,
|
876 |
+
"learning_rate": 3.6827777777777777e-06,
|
877 |
+
"loss": 0.5413,
|
878 |
+
"step": 3375
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 6.26,
|
882 |
+
"learning_rate": 3.668888888888889e-06,
|
883 |
+
"loss": 0.5153,
|
884 |
+
"step": 3400
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 6.31,
|
888 |
+
"learning_rate": 3.655e-06,
|
889 |
+
"loss": 0.5056,
|
890 |
+
"step": 3425
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 6.35,
|
894 |
+
"learning_rate": 3.641111111111111e-06,
|
895 |
+
"loss": 0.5541,
|
896 |
+
"step": 3450
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 6.4,
|
900 |
+
"learning_rate": 3.6272222222222226e-06,
|
901 |
+
"loss": 0.5282,
|
902 |
+
"step": 3475
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 6.45,
|
906 |
+
"learning_rate": 3.6133333333333336e-06,
|
907 |
+
"loss": 0.5359,
|
908 |
+
"step": 3500
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 6.45,
|
912 |
+
"eval_cer": 5.578889195910473,
|
913 |
+
"eval_loss": 0.30176836252212524,
|
914 |
+
"eval_runtime": 195.0766,
|
915 |
+
"eval_samples_per_second": 5.126,
|
916 |
+
"eval_steps_per_second": 0.323,
|
917 |
+
"eval_wer": 14.48382126348228,
|
918 |
+
"step": 3500
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 6.49,
|
922 |
+
"learning_rate": 3.599444444444445e-06,
|
923 |
+
"loss": 0.5223,
|
924 |
+
"step": 3525
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 6.54,
|
928 |
+
"learning_rate": 3.585555555555556e-06,
|
929 |
+
"loss": 0.5334,
|
930 |
+
"step": 3550
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 6.58,
|
934 |
+
"learning_rate": 3.571666666666667e-06,
|
935 |
+
"loss": 0.5108,
|
936 |
+
"step": 3575
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 6.63,
|
940 |
+
"learning_rate": 3.5577777777777785e-06,
|
941 |
+
"loss": 0.5279,
|
942 |
+
"step": 3600
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 6.68,
|
946 |
+
"learning_rate": 3.543888888888889e-06,
|
947 |
+
"loss": 0.5001,
|
948 |
+
"step": 3625
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 6.72,
|
952 |
+
"learning_rate": 3.53e-06,
|
953 |
+
"loss": 0.5107,
|
954 |
+
"step": 3650
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 6.77,
|
958 |
+
"learning_rate": 3.516111111111111e-06,
|
959 |
+
"loss": 0.5466,
|
960 |
+
"step": 3675
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 6.81,
|
964 |
+
"learning_rate": 3.5022222222222225e-06,
|
965 |
+
"loss": 0.5232,
|
966 |
+
"step": 3700
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 6.86,
|
970 |
+
"learning_rate": 3.4883333333333335e-06,
|
971 |
+
"loss": 0.5042,
|
972 |
+
"step": 3725
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 6.91,
|
976 |
+
"learning_rate": 3.4744444444444445e-06,
|
977 |
+
"loss": 0.5325,
|
978 |
+
"step": 3750
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 6.95,
|
982 |
+
"learning_rate": 3.460555555555556e-06,
|
983 |
+
"loss": 0.5466,
|
984 |
+
"step": 3775
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 7.0,
|
988 |
+
"learning_rate": 3.446666666666667e-06,
|
989 |
+
"loss": 0.5299,
|
990 |
+
"step": 3800
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 7.04,
|
994 |
+
"learning_rate": 3.4327777777777784e-06,
|
995 |
+
"loss": 0.4977,
|
996 |
+
"step": 3825
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 7.09,
|
1000 |
+
"learning_rate": 3.4188888888888894e-06,
|
1001 |
+
"loss": 0.4844,
|
1002 |
+
"step": 3850
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 7.14,
|
1006 |
+
"learning_rate": 3.4050000000000004e-06,
|
1007 |
+
"loss": 0.4878,
|
1008 |
+
"step": 3875
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 7.18,
|
1012 |
+
"learning_rate": 3.391111111111111e-06,
|
1013 |
+
"loss": 0.4973,
|
1014 |
+
"step": 3900
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 7.23,
|
1018 |
+
"learning_rate": 3.3772222222222225e-06,
|
1019 |
+
"loss": 0.5158,
|
1020 |
+
"step": 3925
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 7.27,
|
1024 |
+
"learning_rate": 3.3633333333333335e-06,
|
1025 |
+
"loss": 0.5247,
|
1026 |
+
"step": 3950
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 7.32,
|
1030 |
+
"learning_rate": 3.3494444444444445e-06,
|
1031 |
+
"loss": 0.4648,
|
1032 |
+
"step": 3975
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 7.37,
|
1036 |
+
"learning_rate": 3.335555555555556e-06,
|
1037 |
+
"loss": 0.5058,
|
1038 |
+
"step": 4000
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 7.37,
|
1042 |
+
"eval_cer": 5.683890577507598,
|
1043 |
+
"eval_loss": 0.30099615454673767,
|
1044 |
+
"eval_runtime": 195.0615,
|
1045 |
+
"eval_samples_per_second": 5.127,
|
1046 |
+
"eval_steps_per_second": 0.323,
|
1047 |
+
"eval_wer": 14.591679506933744,
|
1048 |
+
"step": 4000
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 7.41,
|
1052 |
+
"learning_rate": 3.321666666666667e-06,
|
1053 |
+
"loss": 0.4619,
|
1054 |
+
"step": 4025
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 7.46,
|
1058 |
+
"learning_rate": 3.307777777777778e-06,
|
1059 |
+
"loss": 0.4968,
|
1060 |
+
"step": 4050
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 7.5,
|
1064 |
+
"learning_rate": 3.2938888888888894e-06,
|
1065 |
+
"loss": 0.4982,
|
1066 |
+
"step": 4075
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 7.55,
|
1070 |
+
"learning_rate": 3.2800000000000004e-06,
|
1071 |
+
"loss": 0.5049,
|
1072 |
+
"step": 4100
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 7.6,
|
1076 |
+
"learning_rate": 3.2661111111111114e-06,
|
1077 |
+
"loss": 0.4799,
|
1078 |
+
"step": 4125
|
1079 |
+
},
|
1080 |
+
{
|
1081 |
+
"epoch": 7.64,
|
1082 |
+
"learning_rate": 3.252222222222223e-06,
|
1083 |
+
"loss": 0.4756,
|
1084 |
+
"step": 4150
|
1085 |
+
},
|
1086 |
+
{
|
1087 |
+
"epoch": 7.69,
|
1088 |
+
"learning_rate": 3.2383333333333334e-06,
|
1089 |
+
"loss": 0.4924,
|
1090 |
+
"step": 4175
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 7.73,
|
1094 |
+
"learning_rate": 3.2244444444444444e-06,
|
1095 |
+
"loss": 0.5195,
|
1096 |
+
"step": 4200
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 7.78,
|
1100 |
+
"learning_rate": 3.210555555555556e-06,
|
1101 |
+
"loss": 0.4897,
|
1102 |
+
"step": 4225
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 7.83,
|
1106 |
+
"learning_rate": 3.196666666666667e-06,
|
1107 |
+
"loss": 0.486,
|
1108 |
+
"step": 4250
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 7.87,
|
1112 |
+
"learning_rate": 3.182777777777778e-06,
|
1113 |
+
"loss": 0.4907,
|
1114 |
+
"step": 4275
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 7.92,
|
1118 |
+
"learning_rate": 3.1688888888888893e-06,
|
1119 |
+
"loss": 0.4874,
|
1120 |
+
"step": 4300
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 7.97,
|
1124 |
+
"learning_rate": 3.1550000000000003e-06,
|
1125 |
+
"loss": 0.4948,
|
1126 |
+
"step": 4325
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 8.01,
|
1130 |
+
"learning_rate": 3.1411111111111113e-06,
|
1131 |
+
"loss": 0.5243,
|
1132 |
+
"step": 4350
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 8.06,
|
1136 |
+
"learning_rate": 3.1272222222222227e-06,
|
1137 |
+
"loss": 0.4634,
|
1138 |
+
"step": 4375
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 8.1,
|
1142 |
+
"learning_rate": 3.1133333333333337e-06,
|
1143 |
+
"loss": 0.4867,
|
1144 |
+
"step": 4400
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 8.15,
|
1148 |
+
"learning_rate": 3.0994444444444447e-06,
|
1149 |
+
"loss": 0.461,
|
1150 |
+
"step": 4425
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 8.2,
|
1154 |
+
"learning_rate": 3.085555555555556e-06,
|
1155 |
+
"loss": 0.4692,
|
1156 |
+
"step": 4450
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 8.24,
|
1160 |
+
"learning_rate": 3.0716666666666668e-06,
|
1161 |
+
"loss": 0.4392,
|
1162 |
+
"step": 4475
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 8.29,
|
1166 |
+
"learning_rate": 3.0577777777777778e-06,
|
1167 |
+
"loss": 0.4833,
|
1168 |
+
"step": 4500
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 8.29,
|
1172 |
+
"eval_cer": 5.523625310859353,
|
1173 |
+
"eval_loss": 0.302284836769104,
|
1174 |
+
"eval_runtime": 194.3049,
|
1175 |
+
"eval_samples_per_second": 5.147,
|
1176 |
+
"eval_steps_per_second": 0.324,
|
1177 |
+
"eval_wer": 14.237288135593221,
|
1178 |
+
"step": 4500
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 8.33,
|
1182 |
+
"learning_rate": 3.043888888888889e-06,
|
1183 |
+
"loss": 0.4612,
|
1184 |
+
"step": 4525
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 8.38,
|
1188 |
+
"learning_rate": 3.0300000000000002e-06,
|
1189 |
+
"loss": 0.4538,
|
1190 |
+
"step": 4550
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 8.43,
|
1194 |
+
"learning_rate": 3.0161111111111112e-06,
|
1195 |
+
"loss": 0.4591,
|
1196 |
+
"step": 4575
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 8.47,
|
1200 |
+
"learning_rate": 3.0022222222222227e-06,
|
1201 |
+
"loss": 0.4643,
|
1202 |
+
"step": 4600
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 8.52,
|
1206 |
+
"learning_rate": 2.9883333333333337e-06,
|
1207 |
+
"loss": 0.47,
|
1208 |
+
"step": 4625
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 8.56,
|
1212 |
+
"learning_rate": 2.9744444444444447e-06,
|
1213 |
+
"loss": 0.4553,
|
1214 |
+
"step": 4650
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 8.61,
|
1218 |
+
"learning_rate": 2.960555555555556e-06,
|
1219 |
+
"loss": 0.4579,
|
1220 |
+
"step": 4675
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 8.66,
|
1224 |
+
"learning_rate": 2.946666666666667e-06,
|
1225 |
+
"loss": 0.4745,
|
1226 |
+
"step": 4700
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 8.7,
|
1230 |
+
"learning_rate": 2.932777777777778e-06,
|
1231 |
+
"loss": 0.4729,
|
1232 |
+
"step": 4725
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 8.75,
|
1236 |
+
"learning_rate": 2.9188888888888887e-06,
|
1237 |
+
"loss": 0.4767,
|
1238 |
+
"step": 4750
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 8.79,
|
1242 |
+
"learning_rate": 2.905e-06,
|
1243 |
+
"loss": 0.46,
|
1244 |
+
"step": 4775
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 8.84,
|
1248 |
+
"learning_rate": 2.8916666666666672e-06,
|
1249 |
+
"loss": 0.4952,
|
1250 |
+
"step": 4800
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 8.89,
|
1254 |
+
"learning_rate": 2.8777777777777782e-06,
|
1255 |
+
"loss": 0.4839,
|
1256 |
+
"step": 4825
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 8.93,
|
1260 |
+
"learning_rate": 2.8638888888888892e-06,
|
1261 |
+
"loss": 0.4707,
|
1262 |
+
"step": 4850
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 8.98,
|
1266 |
+
"learning_rate": 2.85e-06,
|
1267 |
+
"loss": 0.4619,
|
1268 |
+
"step": 4875
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 9.02,
|
1272 |
+
"learning_rate": 2.8361111111111113e-06,
|
1273 |
+
"loss": 0.4389,
|
1274 |
+
"step": 4900
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 9.07,
|
1278 |
+
"learning_rate": 2.8222222222222223e-06,
|
1279 |
+
"loss": 0.4506,
|
1280 |
+
"step": 4925
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 9.12,
|
1284 |
+
"learning_rate": 2.8083333333333333e-06,
|
1285 |
+
"loss": 0.4349,
|
1286 |
+
"step": 4950
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 9.16,
|
1290 |
+
"learning_rate": 2.7944444444444447e-06,
|
1291 |
+
"loss": 0.4476,
|
1292 |
+
"step": 4975
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 9.21,
|
1296 |
+
"learning_rate": 2.7805555555555557e-06,
|
1297 |
+
"loss": 0.4398,
|
1298 |
+
"step": 5000
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 9.21,
|
1302 |
+
"eval_cer": 5.584415584415584,
|
1303 |
+
"eval_loss": 0.30045086145401,
|
1304 |
+
"eval_runtime": 194.9477,
|
1305 |
+
"eval_samples_per_second": 5.13,
|
1306 |
+
"eval_steps_per_second": 0.323,
|
1307 |
+
"eval_wer": 14.422187981510016,
|
1308 |
+
"step": 5000
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 9.25,
|
1312 |
+
"learning_rate": 2.766666666666667e-06,
|
1313 |
+
"loss": 0.4335,
|
1314 |
+
"step": 5025
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 9.3,
|
1318 |
+
"learning_rate": 2.752777777777778e-06,
|
1319 |
+
"loss": 0.4271,
|
1320 |
+
"step": 5050
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 9.35,
|
1324 |
+
"learning_rate": 2.738888888888889e-06,
|
1325 |
+
"loss": 0.436,
|
1326 |
+
"step": 5075
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 9.39,
|
1330 |
+
"learning_rate": 2.7250000000000006e-06,
|
1331 |
+
"loss": 0.4453,
|
1332 |
+
"step": 5100
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 9.44,
|
1336 |
+
"learning_rate": 2.7111111111111116e-06,
|
1337 |
+
"loss": 0.4268,
|
1338 |
+
"step": 5125
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 9.48,
|
1342 |
+
"learning_rate": 2.697222222222222e-06,
|
1343 |
+
"loss": 0.4433,
|
1344 |
+
"step": 5150
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 9.53,
|
1348 |
+
"learning_rate": 2.683333333333333e-06,
|
1349 |
+
"loss": 0.4383,
|
1350 |
+
"step": 5175
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 9.58,
|
1354 |
+
"learning_rate": 2.6694444444444446e-06,
|
1355 |
+
"loss": 0.4435,
|
1356 |
+
"step": 5200
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 9.62,
|
1360 |
+
"learning_rate": 2.6555555555555556e-06,
|
1361 |
+
"loss": 0.4233,
|
1362 |
+
"step": 5225
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 9.67,
|
1366 |
+
"learning_rate": 2.6416666666666666e-06,
|
1367 |
+
"loss": 0.4409,
|
1368 |
+
"step": 5250
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 9.71,
|
1372 |
+
"learning_rate": 2.627777777777778e-06,
|
1373 |
+
"loss": 0.4442,
|
1374 |
+
"step": 5275
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 9.76,
|
1378 |
+
"learning_rate": 2.613888888888889e-06,
|
1379 |
+
"loss": 0.422,
|
1380 |
+
"step": 5300
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 9.81,
|
1384 |
+
"learning_rate": 2.6e-06,
|
1385 |
+
"loss": 0.4539,
|
1386 |
+
"step": 5325
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 9.85,
|
1390 |
+
"learning_rate": 2.5861111111111115e-06,
|
1391 |
+
"loss": 0.4397,
|
1392 |
+
"step": 5350
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 9.9,
|
1396 |
+
"learning_rate": 2.5722222222222225e-06,
|
1397 |
+
"loss": 0.4493,
|
1398 |
+
"step": 5375
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 9.94,
|
1402 |
+
"learning_rate": 2.558333333333334e-06,
|
1403 |
+
"loss": 0.4273,
|
1404 |
+
"step": 5400
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 9.99,
|
1408 |
+
"learning_rate": 2.5444444444444446e-06,
|
1409 |
+
"loss": 0.4391,
|
1410 |
+
"step": 5425
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 10.04,
|
1414 |
+
"learning_rate": 2.5305555555555556e-06,
|
1415 |
+
"loss": 0.4174,
|
1416 |
+
"step": 5450
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 10.08,
|
1420 |
+
"learning_rate": 2.5166666666666666e-06,
|
1421 |
+
"loss": 0.4112,
|
1422 |
+
"step": 5475
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 10.13,
|
1426 |
+
"learning_rate": 2.502777777777778e-06,
|
1427 |
+
"loss": 0.4359,
|
1428 |
+
"step": 5500
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 10.13,
|
1432 |
+
"eval_cer": 5.625863498203923,
|
1433 |
+
"eval_loss": 0.29985830187797546,
|
1434 |
+
"eval_runtime": 195.24,
|
1435 |
+
"eval_samples_per_second": 5.122,
|
1436 |
+
"eval_steps_per_second": 0.323,
|
1437 |
+
"eval_wer": 14.48382126348228,
|
1438 |
+
"step": 5500
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 10.17,
|
1442 |
+
"learning_rate": 2.488888888888889e-06,
|
1443 |
+
"loss": 0.4273,
|
1444 |
+
"step": 5525
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 10.22,
|
1448 |
+
"learning_rate": 2.475e-06,
|
1449 |
+
"loss": 0.4231,
|
1450 |
+
"step": 5550
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 10.27,
|
1454 |
+
"learning_rate": 2.4611111111111115e-06,
|
1455 |
+
"loss": 0.4263,
|
1456 |
+
"step": 5575
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 10.31,
|
1460 |
+
"learning_rate": 2.4472222222222225e-06,
|
1461 |
+
"loss": 0.4026,
|
1462 |
+
"step": 5600
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 10.36,
|
1466 |
+
"learning_rate": 2.4333333333333335e-06,
|
1467 |
+
"loss": 0.4191,
|
1468 |
+
"step": 5625
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 10.41,
|
1472 |
+
"learning_rate": 2.4194444444444445e-06,
|
1473 |
+
"loss": 0.4029,
|
1474 |
+
"step": 5650
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 10.45,
|
1478 |
+
"learning_rate": 2.4055555555555555e-06,
|
1479 |
+
"loss": 0.3939,
|
1480 |
+
"step": 5675
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 10.5,
|
1484 |
+
"learning_rate": 2.391666666666667e-06,
|
1485 |
+
"loss": 0.4283,
|
1486 |
+
"step": 5700
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 10.54,
|
1490 |
+
"learning_rate": 2.377777777777778e-06,
|
1491 |
+
"loss": 0.4169,
|
1492 |
+
"step": 5725
|
1493 |
+
},
|
1494 |
+
{
|
1495 |
+
"epoch": 10.59,
|
1496 |
+
"learning_rate": 2.3638888888888894e-06,
|
1497 |
+
"loss": 0.4069,
|
1498 |
+
"step": 5750
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 10.64,
|
1502 |
+
"learning_rate": 2.35e-06,
|
1503 |
+
"loss": 0.4227,
|
1504 |
+
"step": 5775
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 10.68,
|
1508 |
+
"learning_rate": 2.3361111111111114e-06,
|
1509 |
+
"loss": 0.4175,
|
1510 |
+
"step": 5800
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 10.73,
|
1514 |
+
"learning_rate": 2.3222222222222224e-06,
|
1515 |
+
"loss": 0.4264,
|
1516 |
+
"step": 5825
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 10.77,
|
1520 |
+
"learning_rate": 2.3083333333333334e-06,
|
1521 |
+
"loss": 0.4331,
|
1522 |
+
"step": 5850
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 10.82,
|
1526 |
+
"learning_rate": 2.294444444444445e-06,
|
1527 |
+
"loss": 0.4301,
|
1528 |
+
"step": 5875
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 10.87,
|
1532 |
+
"learning_rate": 2.280555555555556e-06,
|
1533 |
+
"loss": 0.4209,
|
1534 |
+
"step": 5900
|
1535 |
+
},
|
1536 |
+
{
|
1537 |
+
"epoch": 10.91,
|
1538 |
+
"learning_rate": 2.266666666666667e-06,
|
1539 |
+
"loss": 0.4345,
|
1540 |
+
"step": 5925
|
1541 |
+
},
|
1542 |
+
{
|
1543 |
+
"epoch": 10.96,
|
1544 |
+
"learning_rate": 2.252777777777778e-06,
|
1545 |
+
"loss": 0.4092,
|
1546 |
+
"step": 5950
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 11.0,
|
1550 |
+
"learning_rate": 2.238888888888889e-06,
|
1551 |
+
"loss": 0.4078,
|
1552 |
+
"step": 5975
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 11.05,
|
1556 |
+
"learning_rate": 2.2250000000000003e-06,
|
1557 |
+
"loss": 0.4036,
|
1558 |
+
"step": 6000
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 11.05,
|
1562 |
+
"eval_cer": 5.562310030395136,
|
1563 |
+
"eval_loss": 0.299458771944046,
|
1564 |
+
"eval_runtime": 195.4099,
|
1565 |
+
"eval_samples_per_second": 5.117,
|
1566 |
+
"eval_steps_per_second": 0.322,
|
1567 |
+
"eval_wer": 14.28351309707242,
|
1568 |
+
"step": 6000
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 11.05,
|
1572 |
+
"step": 6000,
|
1573 |
+
"total_flos": 5.540839686144e+19,
|
1574 |
+
"train_loss": 0.6941633464495341,
|
1575 |
+
"train_runtime": 11106.8839,
|
1576 |
+
"train_samples_per_second": 28.811,
|
1577 |
+
"train_steps_per_second": 0.9
|
1578 |
+
}
|
1579 |
+
],
|
1580 |
+
"max_steps": 10000,
|
1581 |
+
"num_train_epochs": 19,
|
1582 |
+
"total_flos": 5.540839686144e+19,
|
1583 |
+
"trial_name": null,
|
1584 |
+
"trial_params": null
|
1585 |
+
}
|