End of training
Browse files- README.md +6 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +518 -0
README.md
CHANGED
@@ -1,8 +1,12 @@
|
|
1 |
---
|
2 |
library_name: transformers
|
|
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: rinna/japanese-hubert-base
|
5 |
tags:
|
|
|
|
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- wer
|
@@ -16,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# Hubert-common_voice-phoneme-debug-warmup500
|
18 |
|
19 |
-
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 2.
|
22 |
- Wer: 1.0
|
23 |
- Cer: 0.9851
|
24 |
|
|
|
1 |
---
|
2 |
library_name: transformers
|
3 |
+
language:
|
4 |
+
- ja
|
5 |
license: apache-2.0
|
6 |
base_model: rinna/japanese-hubert-base
|
7 |
tags:
|
8 |
+
- automatic-speech-recognition
|
9 |
+
- mozilla-foundation/common_voice_13_0
|
10 |
- generated_from_trainer
|
11 |
metrics:
|
12 |
- wer
|
|
|
20 |
|
21 |
# Hubert-common_voice-phoneme-debug-warmup500
|
22 |
|
23 |
+
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - JA dataset.
|
24 |
It achieves the following results on the evaluation set:
|
25 |
+
- Loss: 2.9679
|
26 |
- Wer: 1.0
|
27 |
- Cer: 0.9851
|
28 |
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"eval_cer": 0.9850705754614549,
|
4 |
+
"eval_loss": 2.9679019451141357,
|
5 |
+
"eval_runtime": 21.4298,
|
6 |
+
"eval_samples": 500,
|
7 |
+
"eval_samples_per_second": 23.332,
|
8 |
+
"eval_steps_per_second": 2.94,
|
9 |
+
"eval_wer": 1.0,
|
10 |
+
"total_flos": 6.12842473721103e+18,
|
11 |
+
"train_loss": 3.08231661460642,
|
12 |
+
"train_runtime": 8045.4114,
|
13 |
+
"train_samples": 4500,
|
14 |
+
"train_samples_per_second": 16.78,
|
15 |
+
"train_steps_per_second": 0.526
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"eval_cer": 0.9850705754614549,
|
4 |
+
"eval_loss": 2.9679019451141357,
|
5 |
+
"eval_runtime": 21.4298,
|
6 |
+
"eval_samples": 500,
|
7 |
+
"eval_samples_per_second": 23.332,
|
8 |
+
"eval_steps_per_second": 2.94,
|
9 |
+
"eval_wer": 1.0
|
10 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 30.0,
|
3 |
+
"total_flos": 6.12842473721103e+18,
|
4 |
+
"train_loss": 3.08231661460642,
|
5 |
+
"train_runtime": 8045.4114,
|
6 |
+
"train_samples": 4500,
|
7 |
+
"train_samples_per_second": 16.78,
|
8 |
+
"train_steps_per_second": 0.526
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,518 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.9668984413146973,
|
3 |
+
"best_model_checkpoint": "./Hubert-common_voice-phoneme-debug-warmup500/checkpoint-3600",
|
4 |
+
"epoch": 30.0,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 4230,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.7092198581560284,
|
13 |
+
"eval_cer": 0.9850705754614549,
|
14 |
+
"eval_loss": 4.566883563995361,
|
15 |
+
"eval_runtime": 21.222,
|
16 |
+
"eval_samples_per_second": 23.56,
|
17 |
+
"eval_steps_per_second": 2.969,
|
18 |
+
"eval_wer": 1.0,
|
19 |
+
"step": 100
|
20 |
+
},
|
21 |
+
{
|
22 |
+
"epoch": 1.4184397163120568,
|
23 |
+
"eval_cer": 0.9851007359150682,
|
24 |
+
"eval_loss": 3.011932134628296,
|
25 |
+
"eval_runtime": 21.0835,
|
26 |
+
"eval_samples_per_second": 23.715,
|
27 |
+
"eval_steps_per_second": 2.988,
|
28 |
+
"eval_wer": 1.0,
|
29 |
+
"step": 200
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.127659574468085,
|
33 |
+
"eval_cer": 0.9850705754614549,
|
34 |
+
"eval_loss": 2.9839680194854736,
|
35 |
+
"eval_runtime": 20.7833,
|
36 |
+
"eval_samples_per_second": 24.058,
|
37 |
+
"eval_steps_per_second": 3.031,
|
38 |
+
"eval_wer": 1.0,
|
39 |
+
"step": 300
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 2.8368794326241136,
|
43 |
+
"eval_cer": 0.9851007359150682,
|
44 |
+
"eval_loss": 2.9763612747192383,
|
45 |
+
"eval_runtime": 20.9118,
|
46 |
+
"eval_samples_per_second": 23.91,
|
47 |
+
"eval_steps_per_second": 3.013,
|
48 |
+
"eval_wer": 1.0,
|
49 |
+
"step": 400
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 3.546099290780142,
|
53 |
+
"grad_norm": 0.8111785054206848,
|
54 |
+
"learning_rate": 0.0002982,
|
55 |
+
"loss": 3.973,
|
56 |
+
"step": 500
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 3.546099290780142,
|
60 |
+
"eval_cer": 0.9851007359150682,
|
61 |
+
"eval_loss": 2.9795632362365723,
|
62 |
+
"eval_runtime": 20.5236,
|
63 |
+
"eval_samples_per_second": 24.362,
|
64 |
+
"eval_steps_per_second": 3.07,
|
65 |
+
"eval_wer": 1.0,
|
66 |
+
"step": 500
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 4.25531914893617,
|
70 |
+
"eval_cer": 0.9851007359150682,
|
71 |
+
"eval_loss": 2.9758143424987793,
|
72 |
+
"eval_runtime": 21.1254,
|
73 |
+
"eval_samples_per_second": 23.668,
|
74 |
+
"eval_steps_per_second": 2.982,
|
75 |
+
"eval_wer": 1.0,
|
76 |
+
"step": 600
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 4.964539007092198,
|
80 |
+
"eval_cer": 0.9851007359150682,
|
81 |
+
"eval_loss": 2.9691450595855713,
|
82 |
+
"eval_runtime": 20.6886,
|
83 |
+
"eval_samples_per_second": 24.168,
|
84 |
+
"eval_steps_per_second": 3.045,
|
85 |
+
"eval_wer": 1.0,
|
86 |
+
"step": 700
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 5.673758865248227,
|
90 |
+
"eval_cer": 0.9850404150078417,
|
91 |
+
"eval_loss": 2.985788345336914,
|
92 |
+
"eval_runtime": 20.5834,
|
93 |
+
"eval_samples_per_second": 24.291,
|
94 |
+
"eval_steps_per_second": 3.061,
|
95 |
+
"eval_wer": 1.0,
|
96 |
+
"step": 800
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 6.382978723404255,
|
100 |
+
"eval_cer": 0.9850705754614549,
|
101 |
+
"eval_loss": 2.9692296981811523,
|
102 |
+
"eval_runtime": 21.3068,
|
103 |
+
"eval_samples_per_second": 23.467,
|
104 |
+
"eval_steps_per_second": 2.957,
|
105 |
+
"eval_wer": 1.0,
|
106 |
+
"step": 900
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 7.092198581560283,
|
110 |
+
"grad_norm": 0.9110927581787109,
|
111 |
+
"learning_rate": 0.00028704894194342103,
|
112 |
+
"loss": 2.9654,
|
113 |
+
"step": 1000
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 7.092198581560283,
|
117 |
+
"eval_cer": 0.9850404150078417,
|
118 |
+
"eval_loss": 2.9895429611206055,
|
119 |
+
"eval_runtime": 21.477,
|
120 |
+
"eval_samples_per_second": 23.281,
|
121 |
+
"eval_steps_per_second": 2.933,
|
122 |
+
"eval_wer": 1.0,
|
123 |
+
"step": 1000
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 7.801418439716312,
|
127 |
+
"eval_cer": 0.9850102545542285,
|
128 |
+
"eval_loss": 2.972479820251465,
|
129 |
+
"eval_runtime": 20.7781,
|
130 |
+
"eval_samples_per_second": 24.064,
|
131 |
+
"eval_steps_per_second": 3.032,
|
132 |
+
"eval_wer": 1.0,
|
133 |
+
"step": 1100
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 8.51063829787234,
|
137 |
+
"eval_cer": 0.9850404150078417,
|
138 |
+
"eval_loss": 2.971254825592041,
|
139 |
+
"eval_runtime": 21.378,
|
140 |
+
"eval_samples_per_second": 23.389,
|
141 |
+
"eval_steps_per_second": 2.947,
|
142 |
+
"eval_wer": 1.0,
|
143 |
+
"step": 1200
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 9.21985815602837,
|
147 |
+
"eval_cer": 0.9851007359150682,
|
148 |
+
"eval_loss": 2.9757533073425293,
|
149 |
+
"eval_runtime": 21.4867,
|
150 |
+
"eval_samples_per_second": 23.27,
|
151 |
+
"eval_steps_per_second": 2.932,
|
152 |
+
"eval_wer": 1.0,
|
153 |
+
"step": 1300
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 9.929078014184396,
|
157 |
+
"eval_cer": 0.9850404150078417,
|
158 |
+
"eval_loss": 2.978407859802246,
|
159 |
+
"eval_runtime": 21.1721,
|
160 |
+
"eval_samples_per_second": 23.616,
|
161 |
+
"eval_steps_per_second": 2.976,
|
162 |
+
"eval_wer": 1.0,
|
163 |
+
"step": 1400
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 10.638297872340425,
|
167 |
+
"grad_norm": 0.4841027557849884,
|
168 |
+
"learning_rate": 0.00025015032745484046,
|
169 |
+
"loss": 2.9643,
|
170 |
+
"step": 1500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 10.638297872340425,
|
174 |
+
"eval_cer": 0.9851007359150682,
|
175 |
+
"eval_loss": 2.968749761581421,
|
176 |
+
"eval_runtime": 21.3576,
|
177 |
+
"eval_samples_per_second": 23.411,
|
178 |
+
"eval_steps_per_second": 2.95,
|
179 |
+
"eval_wer": 1.0,
|
180 |
+
"step": 1500
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 11.347517730496454,
|
184 |
+
"eval_cer": 0.9850705754614549,
|
185 |
+
"eval_loss": 2.977853536605835,
|
186 |
+
"eval_runtime": 21.1411,
|
187 |
+
"eval_samples_per_second": 23.651,
|
188 |
+
"eval_steps_per_second": 2.98,
|
189 |
+
"eval_wer": 1.0,
|
190 |
+
"step": 1600
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 12.056737588652481,
|
194 |
+
"eval_cer": 0.9850404150078417,
|
195 |
+
"eval_loss": 2.9678869247436523,
|
196 |
+
"eval_runtime": 21.0582,
|
197 |
+
"eval_samples_per_second": 23.744,
|
198 |
+
"eval_steps_per_second": 2.992,
|
199 |
+
"eval_wer": 1.0,
|
200 |
+
"step": 1700
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 12.76595744680851,
|
204 |
+
"eval_cer": 0.9850705754614549,
|
205 |
+
"eval_loss": 2.976925849914551,
|
206 |
+
"eval_runtime": 21.1415,
|
207 |
+
"eval_samples_per_second": 23.65,
|
208 |
+
"eval_steps_per_second": 2.98,
|
209 |
+
"eval_wer": 1.0,
|
210 |
+
"step": 1800
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 13.47517730496454,
|
214 |
+
"eval_cer": 0.9850705754614549,
|
215 |
+
"eval_loss": 2.9718081951141357,
|
216 |
+
"eval_runtime": 20.8074,
|
217 |
+
"eval_samples_per_second": 24.03,
|
218 |
+
"eval_steps_per_second": 3.028,
|
219 |
+
"eval_wer": 1.0,
|
220 |
+
"step": 1900
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 14.184397163120567,
|
224 |
+
"grad_norm": 0.6759688258171082,
|
225 |
+
"learning_rate": 0.00019575136936746506,
|
226 |
+
"loss": 2.9631,
|
227 |
+
"step": 2000
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 14.184397163120567,
|
231 |
+
"eval_cer": 0.9851007359150682,
|
232 |
+
"eval_loss": 2.968552827835083,
|
233 |
+
"eval_runtime": 21.3479,
|
234 |
+
"eval_samples_per_second": 23.421,
|
235 |
+
"eval_steps_per_second": 2.951,
|
236 |
+
"eval_wer": 1.0,
|
237 |
+
"step": 2000
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 14.893617021276595,
|
241 |
+
"eval_cer": 0.9850404150078417,
|
242 |
+
"eval_loss": 2.9706172943115234,
|
243 |
+
"eval_runtime": 21.7626,
|
244 |
+
"eval_samples_per_second": 22.975,
|
245 |
+
"eval_steps_per_second": 2.895,
|
246 |
+
"eval_wer": 1.0,
|
247 |
+
"step": 2100
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 15.602836879432624,
|
251 |
+
"eval_cer": 0.9851007359150682,
|
252 |
+
"eval_loss": 2.9790878295898438,
|
253 |
+
"eval_runtime": 20.9137,
|
254 |
+
"eval_samples_per_second": 23.908,
|
255 |
+
"eval_steps_per_second": 3.012,
|
256 |
+
"eval_wer": 1.0,
|
257 |
+
"step": 2200
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 16.31205673758865,
|
261 |
+
"eval_cer": 0.9850705754614549,
|
262 |
+
"eval_loss": 2.97310733795166,
|
263 |
+
"eval_runtime": 21.1636,
|
264 |
+
"eval_samples_per_second": 23.625,
|
265 |
+
"eval_steps_per_second": 2.977,
|
266 |
+
"eval_wer": 1.0,
|
267 |
+
"step": 2300
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 17.02127659574468,
|
271 |
+
"eval_cer": 0.9850404150078417,
|
272 |
+
"eval_loss": 2.97218656539917,
|
273 |
+
"eval_runtime": 20.5792,
|
274 |
+
"eval_samples_per_second": 24.296,
|
275 |
+
"eval_steps_per_second": 3.061,
|
276 |
+
"eval_wer": 1.0,
|
277 |
+
"step": 2400
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 17.73049645390071,
|
281 |
+
"grad_norm": 0.45569872856140137,
|
282 |
+
"learning_rate": 0.00013335778256150607,
|
283 |
+
"loss": 2.9627,
|
284 |
+
"step": 2500
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 17.73049645390071,
|
288 |
+
"eval_cer": 0.9850705754614549,
|
289 |
+
"eval_loss": 2.9722900390625,
|
290 |
+
"eval_runtime": 21.0187,
|
291 |
+
"eval_samples_per_second": 23.788,
|
292 |
+
"eval_steps_per_second": 2.997,
|
293 |
+
"eval_wer": 1.0,
|
294 |
+
"step": 2500
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 18.43971631205674,
|
298 |
+
"eval_cer": 0.9850705754614549,
|
299 |
+
"eval_loss": 2.9688594341278076,
|
300 |
+
"eval_runtime": 20.8051,
|
301 |
+
"eval_samples_per_second": 24.033,
|
302 |
+
"eval_steps_per_second": 3.028,
|
303 |
+
"eval_wer": 1.0,
|
304 |
+
"step": 2600
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 19.148936170212767,
|
308 |
+
"eval_cer": 0.9850705754614549,
|
309 |
+
"eval_loss": 2.974661111831665,
|
310 |
+
"eval_runtime": 20.7915,
|
311 |
+
"eval_samples_per_second": 24.048,
|
312 |
+
"eval_steps_per_second": 3.03,
|
313 |
+
"eval_wer": 1.0,
|
314 |
+
"step": 2700
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 19.858156028368793,
|
318 |
+
"eval_cer": 0.9850705754614549,
|
319 |
+
"eval_loss": 2.980069160461426,
|
320 |
+
"eval_runtime": 21.3631,
|
321 |
+
"eval_samples_per_second": 23.405,
|
322 |
+
"eval_steps_per_second": 2.949,
|
323 |
+
"eval_wer": 1.0,
|
324 |
+
"step": 2800
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 20.56737588652482,
|
328 |
+
"eval_cer": 0.9850705754614549,
|
329 |
+
"eval_loss": 2.9740312099456787,
|
330 |
+
"eval_runtime": 21.1673,
|
331 |
+
"eval_samples_per_second": 23.621,
|
332 |
+
"eval_steps_per_second": 2.976,
|
333 |
+
"eval_wer": 1.0,
|
334 |
+
"step": 2900
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 21.27659574468085,
|
338 |
+
"grad_norm": 1.4903497695922852,
|
339 |
+
"learning_rate": 7.387226935671251e-05,
|
340 |
+
"loss": 2.9622,
|
341 |
+
"step": 3000
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 21.27659574468085,
|
345 |
+
"eval_cer": 0.9850102545542285,
|
346 |
+
"eval_loss": 2.973616600036621,
|
347 |
+
"eval_runtime": 21.0369,
|
348 |
+
"eval_samples_per_second": 23.768,
|
349 |
+
"eval_steps_per_second": 2.995,
|
350 |
+
"eval_wer": 1.0,
|
351 |
+
"step": 3000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 21.98581560283688,
|
355 |
+
"eval_cer": 0.9850705754614549,
|
356 |
+
"eval_loss": 2.9718637466430664,
|
357 |
+
"eval_runtime": 21.543,
|
358 |
+
"eval_samples_per_second": 23.209,
|
359 |
+
"eval_steps_per_second": 2.924,
|
360 |
+
"eval_wer": 1.0,
|
361 |
+
"step": 3100
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 22.69503546099291,
|
365 |
+
"eval_cer": 0.9850404150078417,
|
366 |
+
"eval_loss": 2.9710469245910645,
|
367 |
+
"eval_runtime": 21.5903,
|
368 |
+
"eval_samples_per_second": 23.159,
|
369 |
+
"eval_steps_per_second": 2.918,
|
370 |
+
"eval_wer": 1.0,
|
371 |
+
"step": 3200
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 23.404255319148938,
|
375 |
+
"eval_cer": 0.9850102545542285,
|
376 |
+
"eval_loss": 2.971414804458618,
|
377 |
+
"eval_runtime": 21.0287,
|
378 |
+
"eval_samples_per_second": 23.777,
|
379 |
+
"eval_steps_per_second": 2.996,
|
380 |
+
"eval_wer": 1.0,
|
381 |
+
"step": 3300
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 24.113475177304963,
|
385 |
+
"eval_cer": 0.9851007359150682,
|
386 |
+
"eval_loss": 2.9701104164123535,
|
387 |
+
"eval_runtime": 22.2142,
|
388 |
+
"eval_samples_per_second": 22.508,
|
389 |
+
"eval_steps_per_second": 2.836,
|
390 |
+
"eval_wer": 1.0,
|
391 |
+
"step": 3400
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 24.822695035460992,
|
395 |
+
"grad_norm": 0.7893990874290466,
|
396 |
+
"learning_rate": 2.768937310296969e-05,
|
397 |
+
"loss": 2.9609,
|
398 |
+
"step": 3500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 24.822695035460992,
|
402 |
+
"eval_cer": 0.9850705754614549,
|
403 |
+
"eval_loss": 2.9694862365722656,
|
404 |
+
"eval_runtime": 20.7615,
|
405 |
+
"eval_samples_per_second": 24.083,
|
406 |
+
"eval_steps_per_second": 3.034,
|
407 |
+
"eval_wer": 1.0,
|
408 |
+
"step": 3500
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 25.53191489361702,
|
412 |
+
"eval_cer": 0.9850404150078417,
|
413 |
+
"eval_loss": 2.9668984413146973,
|
414 |
+
"eval_runtime": 21.25,
|
415 |
+
"eval_samples_per_second": 23.529,
|
416 |
+
"eval_steps_per_second": 2.965,
|
417 |
+
"eval_wer": 1.0,
|
418 |
+
"step": 3600
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 26.24113475177305,
|
422 |
+
"eval_cer": 0.9851308963686813,
|
423 |
+
"eval_loss": 2.9773755073547363,
|
424 |
+
"eval_runtime": 21.3493,
|
425 |
+
"eval_samples_per_second": 23.42,
|
426 |
+
"eval_steps_per_second": 2.951,
|
427 |
+
"eval_wer": 1.0,
|
428 |
+
"step": 3700
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 26.95035460992908,
|
432 |
+
"eval_cer": 0.9850705754614549,
|
433 |
+
"eval_loss": 2.971196174621582,
|
434 |
+
"eval_runtime": 20.8572,
|
435 |
+
"eval_samples_per_second": 23.973,
|
436 |
+
"eval_steps_per_second": 3.021,
|
437 |
+
"eval_wer": 1.0,
|
438 |
+
"step": 3800
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 27.659574468085108,
|
442 |
+
"eval_cer": 0.9850705754614549,
|
443 |
+
"eval_loss": 2.970116138458252,
|
444 |
+
"eval_runtime": 21.7187,
|
445 |
+
"eval_samples_per_second": 23.022,
|
446 |
+
"eval_steps_per_second": 2.901,
|
447 |
+
"eval_wer": 1.0,
|
448 |
+
"step": 3900
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 28.368794326241133,
|
452 |
+
"grad_norm": 0.41945821046829224,
|
453 |
+
"learning_rate": 2.8791278517630856e-06,
|
454 |
+
"loss": 2.962,
|
455 |
+
"step": 4000
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 28.368794326241133,
|
459 |
+
"eval_cer": 0.9851308963686813,
|
460 |
+
"eval_loss": 2.9688799381256104,
|
461 |
+
"eval_runtime": 21.2529,
|
462 |
+
"eval_samples_per_second": 23.526,
|
463 |
+
"eval_steps_per_second": 2.964,
|
464 |
+
"eval_wer": 1.0,
|
465 |
+
"step": 4000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 29.078014184397162,
|
469 |
+
"eval_cer": 0.9850404150078417,
|
470 |
+
"eval_loss": 2.973837375640869,
|
471 |
+
"eval_runtime": 21.0065,
|
472 |
+
"eval_samples_per_second": 23.802,
|
473 |
+
"eval_steps_per_second": 2.999,
|
474 |
+
"eval_wer": 1.0,
|
475 |
+
"step": 4100
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 29.78723404255319,
|
479 |
+
"eval_cer": 0.9851308963686813,
|
480 |
+
"eval_loss": 2.9678163528442383,
|
481 |
+
"eval_runtime": 21.5034,
|
482 |
+
"eval_samples_per_second": 23.252,
|
483 |
+
"eval_steps_per_second": 2.93,
|
484 |
+
"eval_wer": 1.0,
|
485 |
+
"step": 4200
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 30.0,
|
489 |
+
"step": 4230,
|
490 |
+
"total_flos": 6.12842473721103e+18,
|
491 |
+
"train_loss": 3.08231661460642,
|
492 |
+
"train_runtime": 8045.4114,
|
493 |
+
"train_samples_per_second": 16.78,
|
494 |
+
"train_steps_per_second": 0.526
|
495 |
+
}
|
496 |
+
],
|
497 |
+
"logging_steps": 500,
|
498 |
+
"max_steps": 4230,
|
499 |
+
"num_input_tokens_seen": 0,
|
500 |
+
"num_train_epochs": 30,
|
501 |
+
"save_steps": 400,
|
502 |
+
"stateful_callbacks": {
|
503 |
+
"TrainerControl": {
|
504 |
+
"args": {
|
505 |
+
"should_epoch_stop": false,
|
506 |
+
"should_evaluate": false,
|
507 |
+
"should_log": false,
|
508 |
+
"should_save": true,
|
509 |
+
"should_training_stop": true
|
510 |
+
},
|
511 |
+
"attributes": {}
|
512 |
+
}
|
513 |
+
},
|
514 |
+
"total_flos": 6.12842473721103e+18,
|
515 |
+
"train_batch_size": 16,
|
516 |
+
"trial_name": null,
|
517 |
+
"trial_params": null
|
518 |
+
}
|