End of training
Browse files- README.md +6 -3
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +932 -0
README.md
CHANGED
@@ -1,7 +1,10 @@
|
|
1 |
---
|
2 |
library_name: transformers
|
|
|
3 |
base_model: rinna/japanese-hubert-base
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- wer
|
@@ -15,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# Hubert-kakeiken-W-closed_add_ver2
|
17 |
|
18 |
-
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
- Wer: 0.9988
|
22 |
-
- Cer: 1.
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
base_model: rinna/japanese-hubert-base
|
5 |
tags:
|
6 |
+
- automatic-speech-recognition
|
7 |
+
- original_kakeiken_W_closed_add_ver2
|
8 |
- generated_from_trainer
|
9 |
metrics:
|
10 |
- wer
|
|
|
18 |
|
19 |
# Hubert-kakeiken-W-closed_add_ver2
|
20 |
|
21 |
+
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the ORIGINAL_KAKEIKEN_W_CLOSED_ADD_VER2 - JA dataset.
|
22 |
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.0617
|
24 |
- Wer: 0.9988
|
25 |
+
- Cer: 1.0129
|
26 |
|
27 |
## Model description
|
28 |
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 39.955088118249,
|
3 |
+
"eval_cer": 1.0129208155523945,
|
4 |
+
"eval_loss": 0.061716873198747635,
|
5 |
+
"eval_runtime": 59.3704,
|
6 |
+
"eval_samples": 6840,
|
7 |
+
"eval_samples_per_second": 115.209,
|
8 |
+
"eval_steps_per_second": 14.401,
|
9 |
+
"eval_wer": 0.9988304093567252,
|
10 |
+
"total_flos": 1.8269796433195942e+19,
|
11 |
+
"train_loss": 1.1798896302406563,
|
12 |
+
"train_runtime": 28544.574,
|
13 |
+
"train_samples": 56280,
|
14 |
+
"train_samples_per_second": 78.866,
|
15 |
+
"train_steps_per_second": 1.232
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 39.955088118249,
|
3 |
+
"eval_cer": 1.0129208155523945,
|
4 |
+
"eval_loss": 0.061716873198747635,
|
5 |
+
"eval_runtime": 59.3704,
|
6 |
+
"eval_samples": 6840,
|
7 |
+
"eval_samples_per_second": 115.209,
|
8 |
+
"eval_steps_per_second": 14.401,
|
9 |
+
"eval_wer": 0.9988304093567252
|
10 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 39.955088118249,
|
3 |
+
"total_flos": 1.8269796433195942e+19,
|
4 |
+
"train_loss": 1.1798896302406563,
|
5 |
+
"train_runtime": 28544.574,
|
6 |
+
"train_samples": 56280,
|
7 |
+
"train_samples_per_second": 78.866,
|
8 |
+
"train_steps_per_second": 1.232
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,932 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 39.955088118249,
|
5 |
+
"eval_steps": 100.0,
|
6 |
+
"global_step": 35160,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.5685048322910745,
|
13 |
+
"grad_norm": 58.098880767822266,
|
14 |
+
"learning_rate": 1.1904e-06,
|
15 |
+
"loss": 28.4059,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_cer": 1.1284080132764343,
|
21 |
+
"eval_loss": 10.672073364257812,
|
22 |
+
"eval_runtime": 62.3734,
|
23 |
+
"eval_samples_per_second": 109.662,
|
24 |
+
"eval_steps_per_second": 13.708,
|
25 |
+
"eval_wer": 1.0,
|
26 |
+
"step": 880
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.1364411597498578,
|
30 |
+
"grad_norm": 39.93675231933594,
|
31 |
+
"learning_rate": 2.3880000000000003e-06,
|
32 |
+
"loss": 11.3029,
|
33 |
+
"step": 1000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 1.7049459920409324,
|
37 |
+
"grad_norm": 36.53426742553711,
|
38 |
+
"learning_rate": 3.588e-06,
|
39 |
+
"loss": 9.1792,
|
40 |
+
"step": 1500
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"epoch": 2.0,
|
44 |
+
"eval_cer": 1.1283783783783783,
|
45 |
+
"eval_loss": 6.992434978485107,
|
46 |
+
"eval_runtime": 59.9626,
|
47 |
+
"eval_samples_per_second": 114.071,
|
48 |
+
"eval_steps_per_second": 14.259,
|
49 |
+
"eval_wer": 1.0,
|
50 |
+
"step": 1760
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 2.2728823194997156,
|
54 |
+
"grad_norm": 24.559185028076172,
|
55 |
+
"learning_rate": 4.788e-06,
|
56 |
+
"loss": 7.001,
|
57 |
+
"step": 2000
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 2.8413871517907903,
|
61 |
+
"grad_norm": 10.105766296386719,
|
62 |
+
"learning_rate": 5.988e-06,
|
63 |
+
"loss": 4.9143,
|
64 |
+
"step": 2500
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 3.0,
|
68 |
+
"eval_cer": 1.1283783783783783,
|
69 |
+
"eval_loss": 3.8166255950927734,
|
70 |
+
"eval_runtime": 59.1681,
|
71 |
+
"eval_samples_per_second": 115.603,
|
72 |
+
"eval_steps_per_second": 14.45,
|
73 |
+
"eval_wer": 1.0,
|
74 |
+
"step": 2640
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 3.4093234792495735,
|
78 |
+
"grad_norm": 1.8796437978744507,
|
79 |
+
"learning_rate": 7.1880000000000005e-06,
|
80 |
+
"loss": 3.6813,
|
81 |
+
"step": 3000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 3.977828311540648,
|
85 |
+
"grad_norm": 2.5441930294036865,
|
86 |
+
"learning_rate": 8.388e-06,
|
87 |
+
"loss": 3.1394,
|
88 |
+
"step": 3500
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 4.0,
|
92 |
+
"eval_cer": 1.1283191085822666,
|
93 |
+
"eval_loss": 2.882925033569336,
|
94 |
+
"eval_runtime": 60.4525,
|
95 |
+
"eval_samples_per_second": 113.147,
|
96 |
+
"eval_steps_per_second": 14.143,
|
97 |
+
"eval_wer": 1.0,
|
98 |
+
"step": 3520
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 4.545764638999431,
|
102 |
+
"grad_norm": 1.8130204677581787,
|
103 |
+
"learning_rate": 9.588e-06,
|
104 |
+
"loss": 2.7266,
|
105 |
+
"step": 4000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 5.0,
|
109 |
+
"eval_cer": 1.1444108582266477,
|
110 |
+
"eval_loss": 1.9608492851257324,
|
111 |
+
"eval_runtime": 61.7902,
|
112 |
+
"eval_samples_per_second": 110.697,
|
113 |
+
"eval_steps_per_second": 13.837,
|
114 |
+
"eval_wer": 1.0,
|
115 |
+
"step": 4400
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 5.1137009664582145,
|
119 |
+
"grad_norm": 5.103806972503662,
|
120 |
+
"learning_rate": 1.0787999999999999e-05,
|
121 |
+
"loss": 2.1714,
|
122 |
+
"step": 4500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 5.6822057987492895,
|
126 |
+
"grad_norm": 6.647071838378906,
|
127 |
+
"learning_rate": 1.1988000000000001e-05,
|
128 |
+
"loss": 1.4314,
|
129 |
+
"step": 5000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 6.0,
|
133 |
+
"eval_cer": 1.0662043622569939,
|
134 |
+
"eval_loss": 0.8433689475059509,
|
135 |
+
"eval_runtime": 62.0284,
|
136 |
+
"eval_samples_per_second": 110.272,
|
137 |
+
"eval_steps_per_second": 13.784,
|
138 |
+
"eval_wer": 0.9998538011695907,
|
139 |
+
"step": 5280
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 6.250142126208073,
|
143 |
+
"grad_norm": 5.186183929443359,
|
144 |
+
"learning_rate": 1.3188e-05,
|
145 |
+
"loss": 0.9139,
|
146 |
+
"step": 5500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 6.818646958499147,
|
150 |
+
"grad_norm": 5.24096155166626,
|
151 |
+
"learning_rate": 1.4388000000000002e-05,
|
152 |
+
"loss": 0.6837,
|
153 |
+
"step": 6000
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 7.0,
|
157 |
+
"eval_cer": 1.0329540066382172,
|
158 |
+
"eval_loss": 0.4582904875278473,
|
159 |
+
"eval_runtime": 60.9484,
|
160 |
+
"eval_samples_per_second": 112.226,
|
161 |
+
"eval_steps_per_second": 14.028,
|
162 |
+
"eval_wer": 0.9997076023391813,
|
163 |
+
"step": 6160
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 7.386583285957931,
|
167 |
+
"grad_norm": 5.6131510734558105,
|
168 |
+
"learning_rate": 1.5588e-05,
|
169 |
+
"loss": 0.5497,
|
170 |
+
"step": 6500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 7.955088118249005,
|
174 |
+
"grad_norm": 7.207092761993408,
|
175 |
+
"learning_rate": 1.6788e-05,
|
176 |
+
"loss": 0.403,
|
177 |
+
"step": 7000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 8.0,
|
181 |
+
"eval_cer": 1.0478603603603605,
|
182 |
+
"eval_loss": 0.25122731924057007,
|
183 |
+
"eval_runtime": 62.9796,
|
184 |
+
"eval_samples_per_second": 108.607,
|
185 |
+
"eval_steps_per_second": 13.576,
|
186 |
+
"eval_wer": 0.9991228070175439,
|
187 |
+
"step": 7040
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 8.523024445707788,
|
191 |
+
"grad_norm": 1.6712586879730225,
|
192 |
+
"learning_rate": 1.7988e-05,
|
193 |
+
"loss": 0.3035,
|
194 |
+
"step": 7500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 9.0,
|
198 |
+
"eval_cer": 1.0364805595068753,
|
199 |
+
"eval_loss": 0.19720108807086945,
|
200 |
+
"eval_runtime": 61.791,
|
201 |
+
"eval_samples_per_second": 110.696,
|
202 |
+
"eval_steps_per_second": 13.837,
|
203 |
+
"eval_wer": 0.9992690058479532,
|
204 |
+
"step": 7920
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 9.090960773166572,
|
208 |
+
"grad_norm": 5.482681751251221,
|
209 |
+
"learning_rate": 1.9188e-05,
|
210 |
+
"loss": 0.2585,
|
211 |
+
"step": 8000
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 9.659465605457646,
|
215 |
+
"grad_norm": 2.9059221744537354,
|
216 |
+
"learning_rate": 2.0388e-05,
|
217 |
+
"loss": 0.229,
|
218 |
+
"step": 8500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 10.0,
|
222 |
+
"eval_cer": 1.026434329065908,
|
223 |
+
"eval_loss": 0.08719063550233841,
|
224 |
+
"eval_runtime": 64.0548,
|
225 |
+
"eval_samples_per_second": 106.784,
|
226 |
+
"eval_steps_per_second": 13.348,
|
227 |
+
"eval_wer": 0.9991228070175439,
|
228 |
+
"step": 8800
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 10.227401932916429,
|
232 |
+
"grad_norm": 4.925757884979248,
|
233 |
+
"learning_rate": 2.1588e-05,
|
234 |
+
"loss": 0.2205,
|
235 |
+
"step": 9000
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 10.795906765207505,
|
239 |
+
"grad_norm": 4.320206642150879,
|
240 |
+
"learning_rate": 2.2788000000000003e-05,
|
241 |
+
"loss": 0.1995,
|
242 |
+
"step": 9500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 11.0,
|
246 |
+
"eval_cer": 1.0261972498814604,
|
247 |
+
"eval_loss": 0.09591592103242874,
|
248 |
+
"eval_runtime": 63.0889,
|
249 |
+
"eval_samples_per_second": 108.418,
|
250 |
+
"eval_steps_per_second": 13.552,
|
251 |
+
"eval_wer": 0.9988304093567252,
|
252 |
+
"step": 9680
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 11.363843092666288,
|
256 |
+
"grad_norm": 4.490440368652344,
|
257 |
+
"learning_rate": 2.3988e-05,
|
258 |
+
"loss": 0.1909,
|
259 |
+
"step": 10000
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 11.932347924957362,
|
263 |
+
"grad_norm": 4.226001739501953,
|
264 |
+
"learning_rate": 2.5188e-05,
|
265 |
+
"loss": 0.1824,
|
266 |
+
"step": 10500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 12.0,
|
270 |
+
"eval_cer": 1.0316500711237553,
|
271 |
+
"eval_loss": 0.1011653020977974,
|
272 |
+
"eval_runtime": 60.7879,
|
273 |
+
"eval_samples_per_second": 112.522,
|
274 |
+
"eval_steps_per_second": 14.065,
|
275 |
+
"eval_wer": 0.9988304093567252,
|
276 |
+
"step": 10560
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 12.500284252416145,
|
280 |
+
"grad_norm": 4.8370466232299805,
|
281 |
+
"learning_rate": 2.6388000000000002e-05,
|
282 |
+
"loss": 0.1774,
|
283 |
+
"step": 11000
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 13.0,
|
287 |
+
"eval_cer": 1.0220483641536273,
|
288 |
+
"eval_loss": 0.05406388267874718,
|
289 |
+
"eval_runtime": 60.5368,
|
290 |
+
"eval_samples_per_second": 112.989,
|
291 |
+
"eval_steps_per_second": 14.124,
|
292 |
+
"eval_wer": 0.9991228070175439,
|
293 |
+
"step": 11440
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 13.068220579874929,
|
297 |
+
"grad_norm": 4.82689094543457,
|
298 |
+
"learning_rate": 2.7585600000000002e-05,
|
299 |
+
"loss": 0.1761,
|
300 |
+
"step": 11500
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 13.636725412166003,
|
304 |
+
"grad_norm": 0.785372793674469,
|
305 |
+
"learning_rate": 2.87856e-05,
|
306 |
+
"loss": 0.1739,
|
307 |
+
"step": 12000
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 14.0,
|
311 |
+
"eval_cer": 1.026997392128971,
|
312 |
+
"eval_loss": 0.0703384280204773,
|
313 |
+
"eval_runtime": 60.3222,
|
314 |
+
"eval_samples_per_second": 113.391,
|
315 |
+
"eval_steps_per_second": 14.174,
|
316 |
+
"eval_wer": 0.9989766081871345,
|
317 |
+
"step": 12320
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 14.204661739624786,
|
321 |
+
"grad_norm": 2.4106199741363525,
|
322 |
+
"learning_rate": 2.99856e-05,
|
323 |
+
"loss": 0.1642,
|
324 |
+
"step": 12500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 14.773166571915862,
|
328 |
+
"grad_norm": 2.8759591579437256,
|
329 |
+
"learning_rate": 2.996483380918142e-05,
|
330 |
+
"loss": 0.1609,
|
331 |
+
"step": 13000
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 15.0,
|
335 |
+
"eval_cer": 1.0202702702702702,
|
336 |
+
"eval_loss": 0.048034194856882095,
|
337 |
+
"eval_runtime": 61.6445,
|
338 |
+
"eval_samples_per_second": 110.959,
|
339 |
+
"eval_steps_per_second": 13.87,
|
340 |
+
"eval_wer": 0.9988304093567252,
|
341 |
+
"step": 13200
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 15.341102899374645,
|
345 |
+
"grad_norm": 5.875328540802002,
|
346 |
+
"learning_rate": 2.9857791176729968e-05,
|
347 |
+
"loss": 0.1583,
|
348 |
+
"step": 13500
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 15.90960773166572,
|
352 |
+
"grad_norm": 3.2317707538604736,
|
353 |
+
"learning_rate": 2.9679381078280773e-05,
|
354 |
+
"loss": 0.1512,
|
355 |
+
"step": 14000
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 16.0,
|
359 |
+
"eval_cer": 1.016239924134661,
|
360 |
+
"eval_loss": 0.053960736840963364,
|
361 |
+
"eval_runtime": 61.5915,
|
362 |
+
"eval_samples_per_second": 111.054,
|
363 |
+
"eval_steps_per_second": 13.882,
|
364 |
+
"eval_wer": 0.9988304093567252,
|
365 |
+
"step": 14080
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 16.4775440591245,
|
369 |
+
"grad_norm": 3.0755059719085693,
|
370 |
+
"learning_rate": 2.9430460483519525e-05,
|
371 |
+
"loss": 0.1412,
|
372 |
+
"step": 14500
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 17.0,
|
376 |
+
"eval_cer": 1.0187885253674727,
|
377 |
+
"eval_loss": 0.03960481286048889,
|
378 |
+
"eval_runtime": 61.6801,
|
379 |
+
"eval_samples_per_second": 110.895,
|
380 |
+
"eval_steps_per_second": 13.862,
|
381 |
+
"eval_wer": 0.9988304093567252,
|
382 |
+
"step": 14960
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 17.045480386583286,
|
386 |
+
"grad_norm": 1.7888600826263428,
|
387 |
+
"learning_rate": 2.911222505012316e-05,
|
388 |
+
"loss": 0.1411,
|
389 |
+
"step": 15000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 17.61398521887436,
|
393 |
+
"grad_norm": 5.4633941650390625,
|
394 |
+
"learning_rate": 2.872704189552075e-05,
|
395 |
+
"loss": 0.1391,
|
396 |
+
"step": 15500
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 18.0,
|
400 |
+
"eval_cer": 1.0194997629208156,
|
401 |
+
"eval_loss": 0.04934508726000786,
|
402 |
+
"eval_runtime": 60.3205,
|
403 |
+
"eval_samples_per_second": 113.394,
|
404 |
+
"eval_steps_per_second": 14.174,
|
405 |
+
"eval_wer": 0.9988304093567252,
|
406 |
+
"step": 15840
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 18.181921546333143,
|
410 |
+
"grad_norm": 4.8292951583862305,
|
411 |
+
"learning_rate": 2.8275217996094984e-05,
|
412 |
+
"loss": 0.1363,
|
413 |
+
"step": 16000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 18.75042637862422,
|
417 |
+
"grad_norm": 1.6074540615081787,
|
418 |
+
"learning_rate": 2.775962831495378e-05,
|
419 |
+
"loss": 0.1325,
|
420 |
+
"step": 16500
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 19.0,
|
424 |
+
"eval_cer": 1.0185810810810811,
|
425 |
+
"eval_loss": 0.03655907139182091,
|
426 |
+
"eval_runtime": 60.6228,
|
427 |
+
"eval_samples_per_second": 112.829,
|
428 |
+
"eval_steps_per_second": 14.104,
|
429 |
+
"eval_wer": 0.9988304093567252,
|
430 |
+
"step": 16720
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 19.318362706083,
|
434 |
+
"grad_norm": 2.9544260501861572,
|
435 |
+
"learning_rate": 2.7182749420020325e-05,
|
436 |
+
"loss": 0.1243,
|
437 |
+
"step": 17000
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 19.886867538374077,
|
441 |
+
"grad_norm": 1.7803765535354614,
|
442 |
+
"learning_rate": 2.6547352273978724e-05,
|
443 |
+
"loss": 0.1242,
|
444 |
+
"step": 17500
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 20.0,
|
448 |
+
"eval_cer": 1.0178105737316263,
|
449 |
+
"eval_loss": 0.03915562480688095,
|
450 |
+
"eval_runtime": 63.37,
|
451 |
+
"eval_samples_per_second": 107.937,
|
452 |
+
"eval_steps_per_second": 13.492,
|
453 |
+
"eval_wer": 0.9988304093567252,
|
454 |
+
"step": 17600
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 20.454803865832858,
|
458 |
+
"grad_norm": 7.015552520751953,
|
459 |
+
"learning_rate": 2.5857923843413123e-05,
|
460 |
+
"loss": 0.122,
|
461 |
+
"step": 18000
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 21.0,
|
465 |
+
"eval_cer": 1.0192923186344238,
|
466 |
+
"eval_loss": 0.05453035235404968,
|
467 |
+
"eval_runtime": 62.1534,
|
468 |
+
"eval_samples_per_second": 110.05,
|
469 |
+
"eval_steps_per_second": 13.756,
|
470 |
+
"eval_wer": 0.9988304093567252,
|
471 |
+
"step": 18480
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 21.022740193291643,
|
475 |
+
"grad_norm": 0.5277901887893677,
|
476 |
+
"learning_rate": 2.511654911570264e-05,
|
477 |
+
"loss": 0.1154,
|
478 |
+
"step": 18500
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 21.59124502558272,
|
482 |
+
"grad_norm": 2.2439563274383545,
|
483 |
+
"learning_rate": 2.432514615070941e-05,
|
484 |
+
"loss": 0.1143,
|
485 |
+
"step": 19000
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 22.0,
|
489 |
+
"eval_cer": 1.0184625414888573,
|
490 |
+
"eval_loss": 0.04077836126089096,
|
491 |
+
"eval_runtime": 62.3438,
|
492 |
+
"eval_samples_per_second": 109.714,
|
493 |
+
"eval_steps_per_second": 13.714,
|
494 |
+
"eval_wer": 0.9988304093567252,
|
495 |
+
"step": 19360
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 22.1591813530415,
|
499 |
+
"grad_norm": 3.2656147480010986,
|
500 |
+
"learning_rate": 2.3488951059960833e-05,
|
501 |
+
"loss": 0.108,
|
502 |
+
"step": 19500
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 22.727686185332576,
|
506 |
+
"grad_norm": 1.6540584564208984,
|
507 |
+
"learning_rate": 2.261198039773451e-05,
|
508 |
+
"loss": 0.1087,
|
509 |
+
"step": 20000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 23.0,
|
513 |
+
"eval_cer": 1.0176031294452348,
|
514 |
+
"eval_loss": 0.03096814453601837,
|
515 |
+
"eval_runtime": 61.14,
|
516 |
+
"eval_samples_per_second": 111.874,
|
517 |
+
"eval_steps_per_second": 13.984,
|
518 |
+
"eval_wer": 0.9988304093567252,
|
519 |
+
"step": 20240
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 23.295622512791358,
|
523 |
+
"grad_norm": 0.029715025797486305,
|
524 |
+
"learning_rate": 2.1698446578458188e-05,
|
525 |
+
"loss": 0.1011,
|
526 |
+
"step": 20500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 23.864127345082434,
|
530 |
+
"grad_norm": 1.3068634271621704,
|
531 |
+
"learning_rate": 2.0752737642925386e-05,
|
532 |
+
"loss": 0.1013,
|
533 |
+
"step": 21000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 24.0,
|
537 |
+
"eval_cer": 1.0165955429113325,
|
538 |
+
"eval_loss": 0.02615249529480934,
|
539 |
+
"eval_runtime": 60.7558,
|
540 |
+
"eval_samples_per_second": 112.582,
|
541 |
+
"eval_steps_per_second": 14.073,
|
542 |
+
"eval_wer": 0.9988304093567252,
|
543 |
+
"step": 21120
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 24.432063672541215,
|
547 |
+
"grad_norm": 2.296964168548584,
|
548 |
+
"learning_rate": 1.9779396180912585e-05,
|
549 |
+
"loss": 0.0952,
|
550 |
+
"step": 21500
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 25.0,
|
554 |
+
"grad_norm": 0.6059958934783936,
|
555 |
+
"learning_rate": 1.8783097511440484e-05,
|
556 |
+
"loss": 0.0998,
|
557 |
+
"step": 22000
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 25.0,
|
561 |
+
"eval_cer": 1.0199442863916548,
|
562 |
+
"eval_loss": 0.0387667752802372,
|
563 |
+
"eval_runtime": 62.9295,
|
564 |
+
"eval_samples_per_second": 108.693,
|
565 |
+
"eval_steps_per_second": 13.587,
|
566 |
+
"eval_wer": 0.9988304093567252,
|
567 |
+
"step": 22000
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 25.568504832291076,
|
571 |
+
"grad_norm": 3.430413007736206,
|
572 |
+
"learning_rate": 1.777067107469613e-05,
|
573 |
+
"loss": 0.0903,
|
574 |
+
"step": 22500
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 26.0,
|
578 |
+
"eval_cer": 1.0166251778093884,
|
579 |
+
"eval_loss": 0.027963772416114807,
|
580 |
+
"eval_runtime": 62.2122,
|
581 |
+
"eval_samples_per_second": 109.946,
|
582 |
+
"eval_steps_per_second": 13.743,
|
583 |
+
"eval_wer": 0.9988304093567252,
|
584 |
+
"step": 22880
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 26.136441159749857,
|
588 |
+
"grad_norm": 3.037529706954956,
|
589 |
+
"learning_rate": 1.6742923736196817e-05,
|
590 |
+
"loss": 0.0867,
|
591 |
+
"step": 23000
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 26.704945992040933,
|
595 |
+
"grad_norm": 2.661895751953125,
|
596 |
+
"learning_rate": 1.5706804490393117e-05,
|
597 |
+
"loss": 0.088,
|
598 |
+
"step": 23500
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 27.0,
|
602 |
+
"eval_cer": 1.0197072072072073,
|
603 |
+
"eval_loss": 0.04922711104154587,
|
604 |
+
"eval_runtime": 68.8335,
|
605 |
+
"eval_samples_per_second": 99.37,
|
606 |
+
"eval_steps_per_second": 12.421,
|
607 |
+
"eval_wer": 0.9988304093567252,
|
608 |
+
"step": 23760
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 27.272882319499715,
|
612 |
+
"grad_norm": 2.580177068710327,
|
613 |
+
"learning_rate": 1.4667290201218887e-05,
|
614 |
+
"loss": 0.0874,
|
615 |
+
"step": 24000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 27.84138715179079,
|
619 |
+
"grad_norm": 6.204455375671387,
|
620 |
+
"learning_rate": 1.3629374040256936e-05,
|
621 |
+
"loss": 0.0838,
|
622 |
+
"step": 24500
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 28.0,
|
626 |
+
"eval_cer": 1.0162991939307728,
|
627 |
+
"eval_loss": 0.02296304889023304,
|
628 |
+
"eval_runtime": 65.6917,
|
629 |
+
"eval_samples_per_second": 104.123,
|
630 |
+
"eval_steps_per_second": 13.015,
|
631 |
+
"eval_wer": 0.9988304093567252,
|
632 |
+
"step": 24640
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 28.409323479249572,
|
636 |
+
"grad_norm": 0.0685189813375473,
|
637 |
+
"learning_rate": 1.2600094296980161e-05,
|
638 |
+
"loss": 0.0826,
|
639 |
+
"step": 25000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 28.977828311540648,
|
643 |
+
"grad_norm": 6.252466678619385,
|
644 |
+
"learning_rate": 1.1580271268352735e-05,
|
645 |
+
"loss": 0.079,
|
646 |
+
"step": 25500
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 29.0,
|
650 |
+
"eval_cer": 1.0169511616880038,
|
651 |
+
"eval_loss": 0.0281895250082016,
|
652 |
+
"eval_runtime": 61.0,
|
653 |
+
"eval_samples_per_second": 112.131,
|
654 |
+
"eval_steps_per_second": 14.016,
|
655 |
+
"eval_wer": 0.9988304093567252,
|
656 |
+
"step": 25520
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 29.545764638999433,
|
660 |
+
"grad_norm": 3.142706871032715,
|
661 |
+
"learning_rate": 1.0576874461569077e-05,
|
662 |
+
"loss": 0.0747,
|
663 |
+
"step": 26000
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 30.0,
|
667 |
+
"eval_cer": 1.016239924134661,
|
668 |
+
"eval_loss": 0.027105851098895073,
|
669 |
+
"eval_runtime": 59.5418,
|
670 |
+
"eval_samples_per_second": 114.877,
|
671 |
+
"eval_steps_per_second": 14.36,
|
672 |
+
"eval_wer": 0.9988304093567252,
|
673 |
+
"step": 26400
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 30.113700966458214,
|
677 |
+
"grad_norm": 3.5694313049316406,
|
678 |
+
"learning_rate": 9.594723562586447e-06,
|
679 |
+
"loss": 0.0774,
|
680 |
+
"step": 26500
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 30.68220579874929,
|
684 |
+
"grad_norm": 5.079456329345703,
|
685 |
+
"learning_rate": 8.640419592752059e-06,
|
686 |
+
"loss": 0.0692,
|
687 |
+
"step": 27000
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 31.0,
|
691 |
+
"eval_cer": 1.0166844476055001,
|
692 |
+
"eval_loss": 0.027171434834599495,
|
693 |
+
"eval_runtime": 59.3002,
|
694 |
+
"eval_samples_per_second": 115.345,
|
695 |
+
"eval_steps_per_second": 14.418,
|
696 |
+
"eval_wer": 0.9988304093567252,
|
697 |
+
"step": 27280
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 31.250142126208072,
|
701 |
+
"grad_norm": 2.114372730255127,
|
702 |
+
"learning_rate": 7.714723096178886e-06,
|
703 |
+
"loss": 0.0718,
|
704 |
+
"step": 27500
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 31.818646958499148,
|
708 |
+
"grad_norm": 3.835890531539917,
|
709 |
+
"learning_rate": 6.824020478947078e-06,
|
710 |
+
"loss": 0.0699,
|
711 |
+
"step": 28000
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 32.0,
|
715 |
+
"eval_cer": 1.0143432906590801,
|
716 |
+
"eval_loss": 0.0426531545817852,
|
717 |
+
"eval_runtime": 58.5893,
|
718 |
+
"eval_samples_per_second": 116.745,
|
719 |
+
"eval_steps_per_second": 14.593,
|
720 |
+
"eval_wer": 0.9988304093567252,
|
721 |
+
"step": 28160
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 32.38658328595793,
|
725 |
+
"grad_norm": 3.8743183612823486,
|
726 |
+
"learning_rate": 5.97259011514287e-06,
|
727 |
+
"loss": 0.0668,
|
728 |
+
"step": 28500
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 32.955088118249,
|
732 |
+
"grad_norm": 0.82483971118927,
|
733 |
+
"learning_rate": 5.164521739694928e-06,
|
734 |
+
"loss": 0.0652,
|
735 |
+
"step": 29000
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 33.0,
|
739 |
+
"eval_cer": 1.016151019440493,
|
740 |
+
"eval_loss": 0.032351747155189514,
|
741 |
+
"eval_runtime": 60.0164,
|
742 |
+
"eval_samples_per_second": 113.969,
|
743 |
+
"eval_steps_per_second": 14.246,
|
744 |
+
"eval_wer": 0.9988304093567252,
|
745 |
+
"step": 29040
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 33.52302444570779,
|
749 |
+
"grad_norm": 0.08226080983877182,
|
750 |
+
"learning_rate": 4.403696803864931e-06,
|
751 |
+
"loss": 0.0624,
|
752 |
+
"step": 29500
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 34.0,
|
756 |
+
"eval_cer": 1.0162991939307728,
|
757 |
+
"eval_loss": 0.03149048984050751,
|
758 |
+
"eval_runtime": 58.4368,
|
759 |
+
"eval_samples_per_second": 117.05,
|
760 |
+
"eval_steps_per_second": 14.631,
|
761 |
+
"eval_wer": 0.9988304093567252,
|
762 |
+
"step": 29920
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 34.09096077316657,
|
766 |
+
"grad_norm": 0.9844266176223755,
|
767 |
+
"learning_rate": 3.6951365800521325e-06,
|
768 |
+
"loss": 0.0618,
|
769 |
+
"step": 30000
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 34.65946560545765,
|
773 |
+
"grad_norm": 2.4211599826812744,
|
774 |
+
"learning_rate": 3.039405763913186e-06,
|
775 |
+
"loss": 0.0588,
|
776 |
+
"step": 30500
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 35.0,
|
780 |
+
"eval_cer": 1.0136913229018492,
|
781 |
+
"eval_loss": 0.054938483983278275,
|
782 |
+
"eval_runtime": 59.6299,
|
783 |
+
"eval_samples_per_second": 114.708,
|
784 |
+
"eval_steps_per_second": 14.338,
|
785 |
+
"eval_wer": 0.9988304093567252,
|
786 |
+
"step": 30800
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 35.22740193291643,
|
790 |
+
"grad_norm": 3.788679599761963,
|
791 |
+
"learning_rate": 2.4411261053725335e-06,
|
792 |
+
"loss": 0.059,
|
793 |
+
"step": 31000
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 35.795906765207505,
|
797 |
+
"grad_norm": 2.701200008392334,
|
798 |
+
"learning_rate": 1.904185301084242e-06,
|
799 |
+
"loss": 0.0594,
|
800 |
+
"step": 31500
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 36.0,
|
804 |
+
"eval_cer": 1.0141654812707444,
|
805 |
+
"eval_loss": 0.045684415847063065,
|
806 |
+
"eval_runtime": 60.0287,
|
807 |
+
"eval_samples_per_second": 113.945,
|
808 |
+
"eval_steps_per_second": 14.243,
|
809 |
+
"eval_wer": 0.9988304093567252,
|
810 |
+
"step": 31680
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 36.363843092666286,
|
814 |
+
"grad_norm": 0.22563552856445312,
|
815 |
+
"learning_rate": 1.4290112725289179e-06,
|
816 |
+
"loss": 0.0557,
|
817 |
+
"step": 32000
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 36.93234792495736,
|
821 |
+
"grad_norm": 3.3882081508636475,
|
822 |
+
"learning_rate": 1.0190237218990893e-06,
|
823 |
+
"loss": 0.0619,
|
824 |
+
"step": 32500
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 37.0,
|
828 |
+
"eval_cer": 1.014402560455192,
|
829 |
+
"eval_loss": 0.046258434653282166,
|
830 |
+
"eval_runtime": 58.5233,
|
831 |
+
"eval_samples_per_second": 116.876,
|
832 |
+
"eval_steps_per_second": 14.61,
|
833 |
+
"eval_wer": 0.9988304093567252,
|
834 |
+
"step": 32560
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 37.500284252416144,
|
838 |
+
"grad_norm": 4.180235385894775,
|
839 |
+
"learning_rate": 6.761919710294118e-07,
|
840 |
+
"loss": 0.058,
|
841 |
+
"step": 33000
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 38.0,
|
845 |
+
"eval_cer": 1.0126837363679468,
|
846 |
+
"eval_loss": 0.06653982400894165,
|
847 |
+
"eval_runtime": 59.3473,
|
848 |
+
"eval_samples_per_second": 115.254,
|
849 |
+
"eval_steps_per_second": 14.407,
|
850 |
+
"eval_wer": 0.9988304093567252,
|
851 |
+
"step": 33440
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 38.06822057987493,
|
855 |
+
"grad_norm": 0.7227972745895386,
|
856 |
+
"learning_rate": 4.021627676115197e-07,
|
857 |
+
"loss": 0.0579,
|
858 |
+
"step": 33500
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 38.636725412166,
|
862 |
+
"grad_norm": 0.30214107036590576,
|
863 |
+
"learning_rate": 1.9825237525585017e-07,
|
864 |
+
"loss": 0.059,
|
865 |
+
"step": 34000
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 39.0,
|
869 |
+
"eval_cer": 1.01309862494073,
|
870 |
+
"eval_loss": 0.05947383493185043,
|
871 |
+
"eval_runtime": 69.1876,
|
872 |
+
"eval_samples_per_second": 98.862,
|
873 |
+
"eval_steps_per_second": 12.358,
|
874 |
+
"eval_wer": 0.9988304093567252,
|
875 |
+
"step": 34320
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 39.20466173962479,
|
879 |
+
"grad_norm": 4.248073577880859,
|
880 |
+
"learning_rate": 6.544025099069761e-08,
|
881 |
+
"loss": 0.0539,
|
882 |
+
"step": 34500
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 39.77316657191586,
|
886 |
+
"grad_norm": 1.873940348625183,
|
887 |
+
"learning_rate": 4.364340567880043e-09,
|
888 |
+
"loss": 0.0563,
|
889 |
+
"step": 35000
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 39.955088118249,
|
893 |
+
"eval_cer": 1.013276434329066,
|
894 |
+
"eval_loss": 0.058061111718416214,
|
895 |
+
"eval_runtime": 61.3482,
|
896 |
+
"eval_samples_per_second": 111.495,
|
897 |
+
"eval_steps_per_second": 13.937,
|
898 |
+
"eval_wer": 0.9988304093567252,
|
899 |
+
"step": 35160
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 39.955088118249,
|
903 |
+
"step": 35160,
|
904 |
+
"total_flos": 1.8269796433195942e+19,
|
905 |
+
"train_loss": 1.1798896302406563,
|
906 |
+
"train_runtime": 28544.574,
|
907 |
+
"train_samples_per_second": 78.866,
|
908 |
+
"train_steps_per_second": 1.232
|
909 |
+
}
|
910 |
+
],
|
911 |
+
"logging_steps": 500,
|
912 |
+
"max_steps": 35160,
|
913 |
+
"num_input_tokens_seen": 0,
|
914 |
+
"num_train_epochs": 40,
|
915 |
+
"save_steps": 400,
|
916 |
+
"stateful_callbacks": {
|
917 |
+
"TrainerControl": {
|
918 |
+
"args": {
|
919 |
+
"should_epoch_stop": false,
|
920 |
+
"should_evaluate": false,
|
921 |
+
"should_log": false,
|
922 |
+
"should_save": true,
|
923 |
+
"should_training_stop": true
|
924 |
+
},
|
925 |
+
"attributes": {}
|
926 |
+
}
|
927 |
+
},
|
928 |
+
"total_flos": 1.8269796433195942e+19,
|
929 |
+
"train_batch_size": 32,
|
930 |
+
"trial_name": null,
|
931 |
+
"trial_params": null
|
932 |
+
}
|