End of training
Browse files- README.md +86 -0
- generation_config.json +264 -0
- model.safetensors +1 -1
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- runs/Feb14_14-50-25_vishakha/events.out.tfevents.1707893471.vishakha.18475.0 +2 -2
- scheduler.pt +3 -0
- trainer_state.json +1515 -0
README.md
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: openai/whisper-small
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- common_voice_11_0
|
8 |
+
metrics:
|
9 |
+
- wer
|
10 |
+
model-index:
|
11 |
+
- name: whisper-small-en-nonnative
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Automatic Speech Recognition
|
15 |
+
type: automatic-speech-recognition
|
16 |
+
dataset:
|
17 |
+
name: common_voice_11_0
|
18 |
+
type: common_voice_11_0
|
19 |
+
config: en
|
20 |
+
split: test
|
21 |
+
args: en
|
22 |
+
metrics:
|
23 |
+
- name: Wer
|
24 |
+
type: wer
|
25 |
+
value: 40.75993091537133
|
26 |
+
---
|
27 |
+
|
28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
+
should probably proofread and complete it, then remove this comment. -->
|
30 |
+
|
31 |
+
# whisper-small-en-nonnative
|
32 |
+
|
33 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
|
34 |
+
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.4024
|
36 |
+
- Wer: 40.7599
|
37 |
+
|
38 |
+
## Model description
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Intended uses & limitations
|
43 |
+
|
44 |
+
More information needed
|
45 |
+
|
46 |
+
## Training and evaluation data
|
47 |
+
|
48 |
+
More information needed
|
49 |
+
|
50 |
+
## Training procedure
|
51 |
+
|
52 |
+
### Training hyperparameters
|
53 |
+
|
54 |
+
The following hyperparameters were used during training:
|
55 |
+
- learning_rate: 1e-05
|
56 |
+
- train_batch_size: 16
|
57 |
+
- eval_batch_size: 8
|
58 |
+
- seed: 42
|
59 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
60 |
+
- lr_scheduler_type: linear
|
61 |
+
- lr_scheduler_warmup_steps: 500
|
62 |
+
- training_steps: 10000
|
63 |
+
- mixed_precision_training: Native AMP
|
64 |
+
|
65 |
+
### Training results
|
66 |
+
|
67 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
68 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
|
69 |
+
| 0.2992 | 0.2 | 1000 | 0.4468 | 29.3898 |
|
70 |
+
| 0.2918 | 0.39 | 2000 | 0.4240 | 27.1733 |
|
71 |
+
| 0.3078 | 0.59 | 3000 | 0.4173 | 28.4974 |
|
72 |
+
| 0.2711 | 0.79 | 4000 | 0.4027 | 24.5538 |
|
73 |
+
| 0.2813 | 0.98 | 5000 | 0.4029 | 28.6413 |
|
74 |
+
| 0.1416 | 1.18 | 6000 | 0.4078 | 25.9931 |
|
75 |
+
| 0.1399 | 1.38 | 7000 | 0.4078 | 28.8140 |
|
76 |
+
| 0.1478 | 1.57 | 8000 | 0.4070 | 31.3759 |
|
77 |
+
| 0.1479 | 1.77 | 9000 | 0.4033 | 33.5636 |
|
78 |
+
| 0.1266 | 1.97 | 10000 | 0.4024 | 40.7599 |
|
79 |
+
|
80 |
+
|
81 |
+
### Framework versions
|
82 |
+
|
83 |
+
- Transformers 4.37.2
|
84 |
+
- Pytorch 2.2.0+cu121
|
85 |
+
- Datasets 2.16.1
|
86 |
+
- Tokenizers 0.15.1
|
generation_config.json
ADDED
@@ -0,0 +1,264 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alignment_heads": [
|
3 |
+
[
|
4 |
+
5,
|
5 |
+
3
|
6 |
+
],
|
7 |
+
[
|
8 |
+
5,
|
9 |
+
9
|
10 |
+
],
|
11 |
+
[
|
12 |
+
8,
|
13 |
+
0
|
14 |
+
],
|
15 |
+
[
|
16 |
+
8,
|
17 |
+
4
|
18 |
+
],
|
19 |
+
[
|
20 |
+
8,
|
21 |
+
7
|
22 |
+
],
|
23 |
+
[
|
24 |
+
8,
|
25 |
+
8
|
26 |
+
],
|
27 |
+
[
|
28 |
+
9,
|
29 |
+
0
|
30 |
+
],
|
31 |
+
[
|
32 |
+
9,
|
33 |
+
7
|
34 |
+
],
|
35 |
+
[
|
36 |
+
9,
|
37 |
+
9
|
38 |
+
],
|
39 |
+
[
|
40 |
+
10,
|
41 |
+
5
|
42 |
+
]
|
43 |
+
],
|
44 |
+
"begin_suppress_tokens": [
|
45 |
+
220,
|
46 |
+
50257
|
47 |
+
],
|
48 |
+
"bos_token_id": 50257,
|
49 |
+
"decoder_start_token_id": 50258,
|
50 |
+
"eos_token_id": 50257,
|
51 |
+
"forced_decoder_ids": [
|
52 |
+
[
|
53 |
+
1,
|
54 |
+
null
|
55 |
+
],
|
56 |
+
[
|
57 |
+
2,
|
58 |
+
50359
|
59 |
+
]
|
60 |
+
],
|
61 |
+
"is_multilingual": true,
|
62 |
+
"lang_to_id": {
|
63 |
+
"<|af|>": 50327,
|
64 |
+
"<|am|>": 50334,
|
65 |
+
"<|ar|>": 50272,
|
66 |
+
"<|as|>": 50350,
|
67 |
+
"<|az|>": 50304,
|
68 |
+
"<|ba|>": 50355,
|
69 |
+
"<|be|>": 50330,
|
70 |
+
"<|bg|>": 50292,
|
71 |
+
"<|bn|>": 50302,
|
72 |
+
"<|bo|>": 50347,
|
73 |
+
"<|br|>": 50309,
|
74 |
+
"<|bs|>": 50315,
|
75 |
+
"<|ca|>": 50270,
|
76 |
+
"<|cs|>": 50283,
|
77 |
+
"<|cy|>": 50297,
|
78 |
+
"<|da|>": 50285,
|
79 |
+
"<|de|>": 50261,
|
80 |
+
"<|el|>": 50281,
|
81 |
+
"<|en|>": 50259,
|
82 |
+
"<|es|>": 50262,
|
83 |
+
"<|et|>": 50307,
|
84 |
+
"<|eu|>": 50310,
|
85 |
+
"<|fa|>": 50300,
|
86 |
+
"<|fi|>": 50277,
|
87 |
+
"<|fo|>": 50338,
|
88 |
+
"<|fr|>": 50265,
|
89 |
+
"<|gl|>": 50319,
|
90 |
+
"<|gu|>": 50333,
|
91 |
+
"<|haw|>": 50352,
|
92 |
+
"<|ha|>": 50354,
|
93 |
+
"<|he|>": 50279,
|
94 |
+
"<|hi|>": 50276,
|
95 |
+
"<|hr|>": 50291,
|
96 |
+
"<|ht|>": 50339,
|
97 |
+
"<|hu|>": 50286,
|
98 |
+
"<|hy|>": 50312,
|
99 |
+
"<|id|>": 50275,
|
100 |
+
"<|is|>": 50311,
|
101 |
+
"<|it|>": 50274,
|
102 |
+
"<|ja|>": 50266,
|
103 |
+
"<|jw|>": 50356,
|
104 |
+
"<|ka|>": 50329,
|
105 |
+
"<|kk|>": 50316,
|
106 |
+
"<|km|>": 50323,
|
107 |
+
"<|kn|>": 50306,
|
108 |
+
"<|ko|>": 50264,
|
109 |
+
"<|la|>": 50294,
|
110 |
+
"<|lb|>": 50345,
|
111 |
+
"<|ln|>": 50353,
|
112 |
+
"<|lo|>": 50336,
|
113 |
+
"<|lt|>": 50293,
|
114 |
+
"<|lv|>": 50301,
|
115 |
+
"<|mg|>": 50349,
|
116 |
+
"<|mi|>": 50295,
|
117 |
+
"<|mk|>": 50308,
|
118 |
+
"<|ml|>": 50296,
|
119 |
+
"<|mn|>": 50314,
|
120 |
+
"<|mr|>": 50320,
|
121 |
+
"<|ms|>": 50282,
|
122 |
+
"<|mt|>": 50343,
|
123 |
+
"<|my|>": 50346,
|
124 |
+
"<|ne|>": 50313,
|
125 |
+
"<|nl|>": 50271,
|
126 |
+
"<|nn|>": 50342,
|
127 |
+
"<|no|>": 50288,
|
128 |
+
"<|oc|>": 50328,
|
129 |
+
"<|pa|>": 50321,
|
130 |
+
"<|pl|>": 50269,
|
131 |
+
"<|ps|>": 50340,
|
132 |
+
"<|pt|>": 50267,
|
133 |
+
"<|ro|>": 50284,
|
134 |
+
"<|ru|>": 50263,
|
135 |
+
"<|sa|>": 50344,
|
136 |
+
"<|sd|>": 50332,
|
137 |
+
"<|si|>": 50322,
|
138 |
+
"<|sk|>": 50298,
|
139 |
+
"<|sl|>": 50305,
|
140 |
+
"<|sn|>": 50324,
|
141 |
+
"<|so|>": 50326,
|
142 |
+
"<|sq|>": 50317,
|
143 |
+
"<|sr|>": 50303,
|
144 |
+
"<|su|>": 50357,
|
145 |
+
"<|sv|>": 50273,
|
146 |
+
"<|sw|>": 50318,
|
147 |
+
"<|ta|>": 50287,
|
148 |
+
"<|te|>": 50299,
|
149 |
+
"<|tg|>": 50331,
|
150 |
+
"<|th|>": 50289,
|
151 |
+
"<|tk|>": 50341,
|
152 |
+
"<|tl|>": 50348,
|
153 |
+
"<|tr|>": 50268,
|
154 |
+
"<|tt|>": 50351,
|
155 |
+
"<|uk|>": 50280,
|
156 |
+
"<|ur|>": 50290,
|
157 |
+
"<|uz|>": 50337,
|
158 |
+
"<|vi|>": 50278,
|
159 |
+
"<|yi|>": 50335,
|
160 |
+
"<|yo|>": 50325,
|
161 |
+
"<|zh|>": 50260
|
162 |
+
},
|
163 |
+
"max_initial_timestamp_index": 50,
|
164 |
+
"max_length": 448,
|
165 |
+
"no_timestamps_token_id": 50363,
|
166 |
+
"pad_token_id": 50257,
|
167 |
+
"prev_sot_token_id": 50361,
|
168 |
+
"return_timestamps": false,
|
169 |
+
"suppress_tokens": [
|
170 |
+
1,
|
171 |
+
2,
|
172 |
+
7,
|
173 |
+
8,
|
174 |
+
9,
|
175 |
+
10,
|
176 |
+
14,
|
177 |
+
25,
|
178 |
+
26,
|
179 |
+
27,
|
180 |
+
28,
|
181 |
+
29,
|
182 |
+
31,
|
183 |
+
58,
|
184 |
+
59,
|
185 |
+
60,
|
186 |
+
61,
|
187 |
+
62,
|
188 |
+
63,
|
189 |
+
90,
|
190 |
+
91,
|
191 |
+
92,
|
192 |
+
93,
|
193 |
+
359,
|
194 |
+
503,
|
195 |
+
522,
|
196 |
+
542,
|
197 |
+
873,
|
198 |
+
893,
|
199 |
+
902,
|
200 |
+
918,
|
201 |
+
922,
|
202 |
+
931,
|
203 |
+
1350,
|
204 |
+
1853,
|
205 |
+
1982,
|
206 |
+
2460,
|
207 |
+
2627,
|
208 |
+
3246,
|
209 |
+
3253,
|
210 |
+
3268,
|
211 |
+
3536,
|
212 |
+
3846,
|
213 |
+
3961,
|
214 |
+
4183,
|
215 |
+
4667,
|
216 |
+
6585,
|
217 |
+
6647,
|
218 |
+
7273,
|
219 |
+
9061,
|
220 |
+
9383,
|
221 |
+
10428,
|
222 |
+
10929,
|
223 |
+
11938,
|
224 |
+
12033,
|
225 |
+
12331,
|
226 |
+
12562,
|
227 |
+
13793,
|
228 |
+
14157,
|
229 |
+
14635,
|
230 |
+
15265,
|
231 |
+
15618,
|
232 |
+
16553,
|
233 |
+
16604,
|
234 |
+
18362,
|
235 |
+
18956,
|
236 |
+
20075,
|
237 |
+
21675,
|
238 |
+
22520,
|
239 |
+
26130,
|
240 |
+
26161,
|
241 |
+
26435,
|
242 |
+
28279,
|
243 |
+
29464,
|
244 |
+
31650,
|
245 |
+
32302,
|
246 |
+
32470,
|
247 |
+
36865,
|
248 |
+
42863,
|
249 |
+
47425,
|
250 |
+
49870,
|
251 |
+
50254,
|
252 |
+
50258,
|
253 |
+
50358,
|
254 |
+
50359,
|
255 |
+
50360,
|
256 |
+
50361,
|
257 |
+
50362
|
258 |
+
],
|
259 |
+
"task_to_id": {
|
260 |
+
"transcribe": 50359,
|
261 |
+
"translate": 50358
|
262 |
+
},
|
263 |
+
"transformers_version": "4.37.2"
|
264 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 966995080
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a7c611c1f076a371a44085c6041c5802a8c9881827ff507f6207bd8024e48e1
|
3 |
size 966995080
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76dd8b4987ceda68f5b136997094bfd6f507879c915fb3d8d7baa3d8e8ed5da5
|
3 |
+
size 1925064044
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8010cf71adb3ae5ab2828e932bcae70f514ab69ab18d14f4605ebf9803d7e53a
|
3 |
+
size 14244
|
runs/Feb14_14-50-25_vishakha/events.out.tfevents.1707893471.vishakha.18475.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bdfb2d1acff3d44085166780faf8a11cb5ffa6f28fa16bf0c8aef2d3c9c2df8c
|
3 |
+
size 71534
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8eb879088cbeb41eab9ad67f8eb22e9740ed68fd63e9616abedcfacaa98d0538
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,1515 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 24.553828439838803,
|
3 |
+
"best_model_checkpoint": "./whisper-small-en-nonnative/checkpoint-4000",
|
4 |
+
"epoch": 1.1804052724768836,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 6000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 4.2000000000000006e-07,
|
14 |
+
"loss": 3.8694,
|
15 |
+
"step": 25
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 9.200000000000001e-07,
|
20 |
+
"loss": 3.0815,
|
21 |
+
"step": 50
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 1.42e-06,
|
26 |
+
"loss": 2.1257,
|
27 |
+
"step": 75
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.02,
|
31 |
+
"learning_rate": 1.9200000000000003e-06,
|
32 |
+
"loss": 1.2753,
|
33 |
+
"step": 100
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.02,
|
37 |
+
"learning_rate": 2.42e-06,
|
38 |
+
"loss": 1.0231,
|
39 |
+
"step": 125
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.03,
|
43 |
+
"learning_rate": 2.92e-06,
|
44 |
+
"loss": 0.8857,
|
45 |
+
"step": 150
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.03,
|
49 |
+
"learning_rate": 3.4200000000000007e-06,
|
50 |
+
"loss": 0.7951,
|
51 |
+
"step": 175
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.04,
|
55 |
+
"learning_rate": 3.920000000000001e-06,
|
56 |
+
"loss": 0.7367,
|
57 |
+
"step": 200
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.04,
|
61 |
+
"learning_rate": 4.42e-06,
|
62 |
+
"loss": 0.6582,
|
63 |
+
"step": 225
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.05,
|
67 |
+
"learning_rate": 4.92e-06,
|
68 |
+
"loss": 0.6036,
|
69 |
+
"step": 250
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.05,
|
73 |
+
"learning_rate": 5.420000000000001e-06,
|
74 |
+
"loss": 0.5395,
|
75 |
+
"step": 275
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.06,
|
79 |
+
"learning_rate": 5.92e-06,
|
80 |
+
"loss": 0.3999,
|
81 |
+
"step": 300
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.06,
|
85 |
+
"learning_rate": 6.42e-06,
|
86 |
+
"loss": 0.3605,
|
87 |
+
"step": 325
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.07,
|
91 |
+
"learning_rate": 6.92e-06,
|
92 |
+
"loss": 0.3338,
|
93 |
+
"step": 350
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.07,
|
97 |
+
"learning_rate": 7.420000000000001e-06,
|
98 |
+
"loss": 0.3309,
|
99 |
+
"step": 375
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.08,
|
103 |
+
"learning_rate": 7.92e-06,
|
104 |
+
"loss": 0.3129,
|
105 |
+
"step": 400
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.08,
|
109 |
+
"learning_rate": 8.42e-06,
|
110 |
+
"loss": 0.3323,
|
111 |
+
"step": 425
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.09,
|
115 |
+
"learning_rate": 8.920000000000001e-06,
|
116 |
+
"loss": 0.3257,
|
117 |
+
"step": 450
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.09,
|
121 |
+
"learning_rate": 9.42e-06,
|
122 |
+
"loss": 0.3294,
|
123 |
+
"step": 475
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.1,
|
127 |
+
"learning_rate": 9.920000000000002e-06,
|
128 |
+
"loss": 0.3314,
|
129 |
+
"step": 500
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.1,
|
133 |
+
"learning_rate": 9.977894736842106e-06,
|
134 |
+
"loss": 0.354,
|
135 |
+
"step": 525
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.11,
|
139 |
+
"learning_rate": 9.951578947368423e-06,
|
140 |
+
"loss": 0.3151,
|
141 |
+
"step": 550
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.11,
|
145 |
+
"learning_rate": 9.925263157894738e-06,
|
146 |
+
"loss": 0.2934,
|
147 |
+
"step": 575
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.12,
|
151 |
+
"learning_rate": 9.898947368421054e-06,
|
152 |
+
"loss": 0.3286,
|
153 |
+
"step": 600
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.12,
|
157 |
+
"learning_rate": 9.87263157894737e-06,
|
158 |
+
"loss": 0.3291,
|
159 |
+
"step": 625
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.13,
|
163 |
+
"learning_rate": 9.846315789473684e-06,
|
164 |
+
"loss": 0.3283,
|
165 |
+
"step": 650
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.13,
|
169 |
+
"learning_rate": 9.820000000000001e-06,
|
170 |
+
"loss": 0.3307,
|
171 |
+
"step": 675
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.14,
|
175 |
+
"learning_rate": 9.793684210526316e-06,
|
176 |
+
"loss": 0.3189,
|
177 |
+
"step": 700
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.14,
|
181 |
+
"learning_rate": 9.767368421052632e-06,
|
182 |
+
"loss": 0.2879,
|
183 |
+
"step": 725
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.15,
|
187 |
+
"learning_rate": 9.741052631578947e-06,
|
188 |
+
"loss": 0.3268,
|
189 |
+
"step": 750
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.15,
|
193 |
+
"learning_rate": 9.714736842105264e-06,
|
194 |
+
"loss": 0.322,
|
195 |
+
"step": 775
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.16,
|
199 |
+
"learning_rate": 9.68842105263158e-06,
|
200 |
+
"loss": 0.3195,
|
201 |
+
"step": 800
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.16,
|
205 |
+
"learning_rate": 9.662105263157896e-06,
|
206 |
+
"loss": 0.3341,
|
207 |
+
"step": 825
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.17,
|
211 |
+
"learning_rate": 9.635789473684212e-06,
|
212 |
+
"loss": 0.3404,
|
213 |
+
"step": 850
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.17,
|
217 |
+
"learning_rate": 9.609473684210527e-06,
|
218 |
+
"loss": 0.346,
|
219 |
+
"step": 875
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.18,
|
223 |
+
"learning_rate": 9.583157894736842e-06,
|
224 |
+
"loss": 0.3454,
|
225 |
+
"step": 900
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.18,
|
229 |
+
"learning_rate": 9.556842105263159e-06,
|
230 |
+
"loss": 0.2992,
|
231 |
+
"step": 925
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.19,
|
235 |
+
"learning_rate": 9.530526315789474e-06,
|
236 |
+
"loss": 0.3004,
|
237 |
+
"step": 950
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.19,
|
241 |
+
"learning_rate": 9.50421052631579e-06,
|
242 |
+
"loss": 0.2946,
|
243 |
+
"step": 975
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.2,
|
247 |
+
"learning_rate": 9.477894736842106e-06,
|
248 |
+
"loss": 0.2992,
|
249 |
+
"step": 1000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.2,
|
253 |
+
"eval_loss": 0.44680920243263245,
|
254 |
+
"eval_runtime": 125.2872,
|
255 |
+
"eval_samples_per_second": 2.905,
|
256 |
+
"eval_steps_per_second": 0.367,
|
257 |
+
"eval_wer": 29.389752446747263,
|
258 |
+
"step": 1000
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 0.2,
|
262 |
+
"learning_rate": 9.451578947368422e-06,
|
263 |
+
"loss": 0.3197,
|
264 |
+
"step": 1025
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.21,
|
268 |
+
"learning_rate": 9.425263157894737e-06,
|
269 |
+
"loss": 0.3143,
|
270 |
+
"step": 1050
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.21,
|
274 |
+
"learning_rate": 9.398947368421052e-06,
|
275 |
+
"loss": 0.3386,
|
276 |
+
"step": 1075
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.22,
|
280 |
+
"learning_rate": 9.372631578947369e-06,
|
281 |
+
"loss": 0.3316,
|
282 |
+
"step": 1100
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.22,
|
286 |
+
"learning_rate": 9.346315789473684e-06,
|
287 |
+
"loss": 0.3133,
|
288 |
+
"step": 1125
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.23,
|
292 |
+
"learning_rate": 9.32e-06,
|
293 |
+
"loss": 0.3127,
|
294 |
+
"step": 1150
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.23,
|
298 |
+
"learning_rate": 9.293684210526317e-06,
|
299 |
+
"loss": 0.3223,
|
300 |
+
"step": 1175
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.24,
|
304 |
+
"learning_rate": 9.267368421052632e-06,
|
305 |
+
"loss": 0.2826,
|
306 |
+
"step": 1200
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.24,
|
310 |
+
"learning_rate": 9.241052631578949e-06,
|
311 |
+
"loss": 0.3166,
|
312 |
+
"step": 1225
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 0.25,
|
316 |
+
"learning_rate": 9.214736842105264e-06,
|
317 |
+
"loss": 0.3202,
|
318 |
+
"step": 1250
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.25,
|
322 |
+
"learning_rate": 9.18842105263158e-06,
|
323 |
+
"loss": 0.3132,
|
324 |
+
"step": 1275
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.26,
|
328 |
+
"learning_rate": 9.162105263157895e-06,
|
329 |
+
"loss": 0.311,
|
330 |
+
"step": 1300
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.26,
|
334 |
+
"learning_rate": 9.13578947368421e-06,
|
335 |
+
"loss": 0.3209,
|
336 |
+
"step": 1325
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.27,
|
340 |
+
"learning_rate": 9.109473684210527e-06,
|
341 |
+
"loss": 0.2897,
|
342 |
+
"step": 1350
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 0.27,
|
346 |
+
"learning_rate": 9.083157894736842e-06,
|
347 |
+
"loss": 0.2949,
|
348 |
+
"step": 1375
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.28,
|
352 |
+
"learning_rate": 9.056842105263159e-06,
|
353 |
+
"loss": 0.2911,
|
354 |
+
"step": 1400
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.28,
|
358 |
+
"learning_rate": 9.030526315789474e-06,
|
359 |
+
"loss": 0.3026,
|
360 |
+
"step": 1425
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.29,
|
364 |
+
"learning_rate": 9.00421052631579e-06,
|
365 |
+
"loss": 0.2999,
|
366 |
+
"step": 1450
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.29,
|
370 |
+
"learning_rate": 8.977894736842107e-06,
|
371 |
+
"loss": 0.3276,
|
372 |
+
"step": 1475
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.3,
|
376 |
+
"learning_rate": 8.951578947368422e-06,
|
377 |
+
"loss": 0.2804,
|
378 |
+
"step": 1500
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 0.3,
|
382 |
+
"learning_rate": 8.925263157894739e-06,
|
383 |
+
"loss": 0.3334,
|
384 |
+
"step": 1525
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.3,
|
388 |
+
"learning_rate": 8.898947368421054e-06,
|
389 |
+
"loss": 0.3169,
|
390 |
+
"step": 1550
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.31,
|
394 |
+
"learning_rate": 8.872631578947369e-06,
|
395 |
+
"loss": 0.3003,
|
396 |
+
"step": 1575
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.31,
|
400 |
+
"learning_rate": 8.846315789473685e-06,
|
401 |
+
"loss": 0.329,
|
402 |
+
"step": 1600
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.32,
|
406 |
+
"learning_rate": 8.82e-06,
|
407 |
+
"loss": 0.3115,
|
408 |
+
"step": 1625
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.32,
|
412 |
+
"learning_rate": 8.793684210526317e-06,
|
413 |
+
"loss": 0.2814,
|
414 |
+
"step": 1650
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.33,
|
418 |
+
"learning_rate": 8.767368421052632e-06,
|
419 |
+
"loss": 0.2974,
|
420 |
+
"step": 1675
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.33,
|
424 |
+
"learning_rate": 8.741052631578949e-06,
|
425 |
+
"loss": 0.3042,
|
426 |
+
"step": 1700
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 0.34,
|
430 |
+
"learning_rate": 8.714736842105264e-06,
|
431 |
+
"loss": 0.2534,
|
432 |
+
"step": 1725
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.34,
|
436 |
+
"learning_rate": 8.688421052631579e-06,
|
437 |
+
"loss": 0.3209,
|
438 |
+
"step": 1750
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.35,
|
442 |
+
"learning_rate": 8.662105263157895e-06,
|
443 |
+
"loss": 0.2925,
|
444 |
+
"step": 1775
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.35,
|
448 |
+
"learning_rate": 8.63578947368421e-06,
|
449 |
+
"loss": 0.2927,
|
450 |
+
"step": 1800
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.36,
|
454 |
+
"learning_rate": 8.609473684210527e-06,
|
455 |
+
"loss": 0.2981,
|
456 |
+
"step": 1825
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.36,
|
460 |
+
"learning_rate": 8.583157894736843e-06,
|
461 |
+
"loss": 0.299,
|
462 |
+
"step": 1850
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.37,
|
466 |
+
"learning_rate": 8.556842105263158e-06,
|
467 |
+
"loss": 0.2901,
|
468 |
+
"step": 1875
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.37,
|
472 |
+
"learning_rate": 8.530526315789475e-06,
|
473 |
+
"loss": 0.306,
|
474 |
+
"step": 1900
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.38,
|
478 |
+
"learning_rate": 8.50421052631579e-06,
|
479 |
+
"loss": 0.3043,
|
480 |
+
"step": 1925
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 0.38,
|
484 |
+
"learning_rate": 8.477894736842107e-06,
|
485 |
+
"loss": 0.2914,
|
486 |
+
"step": 1950
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.39,
|
490 |
+
"learning_rate": 8.451578947368422e-06,
|
491 |
+
"loss": 0.2881,
|
492 |
+
"step": 1975
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.39,
|
496 |
+
"learning_rate": 8.425263157894737e-06,
|
497 |
+
"loss": 0.2918,
|
498 |
+
"step": 2000
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.39,
|
502 |
+
"eval_loss": 0.4239605665206909,
|
503 |
+
"eval_runtime": 129.5579,
|
504 |
+
"eval_samples_per_second": 2.81,
|
505 |
+
"eval_steps_per_second": 0.355,
|
506 |
+
"eval_wer": 27.17328727691422,
|
507 |
+
"step": 2000
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.4,
|
511 |
+
"learning_rate": 8.398947368421053e-06,
|
512 |
+
"loss": 0.3156,
|
513 |
+
"step": 2025
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.4,
|
517 |
+
"learning_rate": 8.372631578947368e-06,
|
518 |
+
"loss": 0.3085,
|
519 |
+
"step": 2050
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.41,
|
523 |
+
"learning_rate": 8.346315789473685e-06,
|
524 |
+
"loss": 0.2952,
|
525 |
+
"step": 2075
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 0.41,
|
529 |
+
"learning_rate": 8.32e-06,
|
530 |
+
"loss": 0.2768,
|
531 |
+
"step": 2100
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.42,
|
535 |
+
"learning_rate": 8.293684210526317e-06,
|
536 |
+
"loss": 0.2745,
|
537 |
+
"step": 2125
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.42,
|
541 |
+
"learning_rate": 8.267368421052632e-06,
|
542 |
+
"loss": 0.3068,
|
543 |
+
"step": 2150
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.43,
|
547 |
+
"learning_rate": 8.241052631578948e-06,
|
548 |
+
"loss": 0.3184,
|
549 |
+
"step": 2175
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.43,
|
553 |
+
"learning_rate": 8.214736842105265e-06,
|
554 |
+
"loss": 0.2786,
|
555 |
+
"step": 2200
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.44,
|
559 |
+
"learning_rate": 8.18842105263158e-06,
|
560 |
+
"loss": 0.3037,
|
561 |
+
"step": 2225
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.44,
|
565 |
+
"learning_rate": 8.162105263157895e-06,
|
566 |
+
"loss": 0.2858,
|
567 |
+
"step": 2250
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.45,
|
571 |
+
"learning_rate": 8.135789473684212e-06,
|
572 |
+
"loss": 0.3154,
|
573 |
+
"step": 2275
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.45,
|
577 |
+
"learning_rate": 8.109473684210527e-06,
|
578 |
+
"loss": 0.3142,
|
579 |
+
"step": 2300
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.46,
|
583 |
+
"learning_rate": 8.083157894736843e-06,
|
584 |
+
"loss": 0.3117,
|
585 |
+
"step": 2325
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.46,
|
589 |
+
"learning_rate": 8.056842105263158e-06,
|
590 |
+
"loss": 0.2841,
|
591 |
+
"step": 2350
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.47,
|
595 |
+
"learning_rate": 8.030526315789475e-06,
|
596 |
+
"loss": 0.3124,
|
597 |
+
"step": 2375
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.47,
|
601 |
+
"learning_rate": 8.00421052631579e-06,
|
602 |
+
"loss": 0.2933,
|
603 |
+
"step": 2400
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.48,
|
607 |
+
"learning_rate": 7.977894736842105e-06,
|
608 |
+
"loss": 0.3059,
|
609 |
+
"step": 2425
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.48,
|
613 |
+
"learning_rate": 7.951578947368421e-06,
|
614 |
+
"loss": 0.2889,
|
615 |
+
"step": 2450
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.49,
|
619 |
+
"learning_rate": 7.925263157894736e-06,
|
620 |
+
"loss": 0.2743,
|
621 |
+
"step": 2475
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.49,
|
625 |
+
"learning_rate": 7.898947368421053e-06,
|
626 |
+
"loss": 0.2746,
|
627 |
+
"step": 2500
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.5,
|
631 |
+
"learning_rate": 7.87263157894737e-06,
|
632 |
+
"loss": 0.3023,
|
633 |
+
"step": 2525
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.5,
|
637 |
+
"learning_rate": 7.846315789473685e-06,
|
638 |
+
"loss": 0.311,
|
639 |
+
"step": 2550
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.51,
|
643 |
+
"learning_rate": 7.820000000000001e-06,
|
644 |
+
"loss": 0.2833,
|
645 |
+
"step": 2575
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.51,
|
649 |
+
"learning_rate": 7.793684210526316e-06,
|
650 |
+
"loss": 0.2967,
|
651 |
+
"step": 2600
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.52,
|
655 |
+
"learning_rate": 7.767368421052633e-06,
|
656 |
+
"loss": 0.3104,
|
657 |
+
"step": 2625
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.52,
|
661 |
+
"learning_rate": 7.741052631578948e-06,
|
662 |
+
"loss": 0.2724,
|
663 |
+
"step": 2650
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.53,
|
667 |
+
"learning_rate": 7.714736842105263e-06,
|
668 |
+
"loss": 0.3186,
|
669 |
+
"step": 2675
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.53,
|
673 |
+
"learning_rate": 7.68842105263158e-06,
|
674 |
+
"loss": 0.2704,
|
675 |
+
"step": 2700
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.54,
|
679 |
+
"learning_rate": 7.662105263157895e-06,
|
680 |
+
"loss": 0.2961,
|
681 |
+
"step": 2725
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.54,
|
685 |
+
"learning_rate": 7.635789473684211e-06,
|
686 |
+
"loss": 0.2833,
|
687 |
+
"step": 2750
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.55,
|
691 |
+
"learning_rate": 7.609473684210526e-06,
|
692 |
+
"loss": 0.2828,
|
693 |
+
"step": 2775
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.55,
|
697 |
+
"learning_rate": 7.583157894736842e-06,
|
698 |
+
"loss": 0.3205,
|
699 |
+
"step": 2800
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.56,
|
703 |
+
"learning_rate": 7.556842105263158e-06,
|
704 |
+
"loss": 0.2902,
|
705 |
+
"step": 2825
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.56,
|
709 |
+
"learning_rate": 7.5305263157894745e-06,
|
710 |
+
"loss": 0.298,
|
711 |
+
"step": 2850
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.57,
|
715 |
+
"learning_rate": 7.50421052631579e-06,
|
716 |
+
"loss": 0.3006,
|
717 |
+
"step": 2875
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.57,
|
721 |
+
"learning_rate": 7.477894736842106e-06,
|
722 |
+
"loss": 0.2937,
|
723 |
+
"step": 2900
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.58,
|
727 |
+
"learning_rate": 7.451578947368422e-06,
|
728 |
+
"loss": 0.3131,
|
729 |
+
"step": 2925
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.58,
|
733 |
+
"learning_rate": 7.425263157894738e-06,
|
734 |
+
"loss": 0.2717,
|
735 |
+
"step": 2950
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.59,
|
739 |
+
"learning_rate": 7.398947368421054e-06,
|
740 |
+
"loss": 0.316,
|
741 |
+
"step": 2975
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.59,
|
745 |
+
"learning_rate": 7.3726315789473694e-06,
|
746 |
+
"loss": 0.3078,
|
747 |
+
"step": 3000
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.59,
|
751 |
+
"eval_loss": 0.41730061173439026,
|
752 |
+
"eval_runtime": 146.6087,
|
753 |
+
"eval_samples_per_second": 2.483,
|
754 |
+
"eval_steps_per_second": 0.314,
|
755 |
+
"eval_wer": 28.497409326424872,
|
756 |
+
"step": 3000
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.6,
|
760 |
+
"learning_rate": 7.346315789473684e-06,
|
761 |
+
"loss": 0.3018,
|
762 |
+
"step": 3025
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 0.6,
|
766 |
+
"learning_rate": 7.32e-06,
|
767 |
+
"loss": 0.2963,
|
768 |
+
"step": 3050
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 0.6,
|
772 |
+
"learning_rate": 7.293684210526316e-06,
|
773 |
+
"loss": 0.2998,
|
774 |
+
"step": 3075
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.61,
|
778 |
+
"learning_rate": 7.267368421052632e-06,
|
779 |
+
"loss": 0.2701,
|
780 |
+
"step": 3100
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 0.61,
|
784 |
+
"learning_rate": 7.241052631578948e-06,
|
785 |
+
"loss": 0.2916,
|
786 |
+
"step": 3125
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.62,
|
790 |
+
"learning_rate": 7.2147368421052635e-06,
|
791 |
+
"loss": 0.2914,
|
792 |
+
"step": 3150
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 0.62,
|
796 |
+
"learning_rate": 7.18842105263158e-06,
|
797 |
+
"loss": 0.2778,
|
798 |
+
"step": 3175
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 0.63,
|
802 |
+
"learning_rate": 7.162105263157896e-06,
|
803 |
+
"loss": 0.2837,
|
804 |
+
"step": 3200
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 0.63,
|
808 |
+
"learning_rate": 7.135789473684212e-06,
|
809 |
+
"loss": 0.2551,
|
810 |
+
"step": 3225
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 0.64,
|
814 |
+
"learning_rate": 7.109473684210528e-06,
|
815 |
+
"loss": 0.2841,
|
816 |
+
"step": 3250
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 0.64,
|
820 |
+
"learning_rate": 7.083157894736843e-06,
|
821 |
+
"loss": 0.2749,
|
822 |
+
"step": 3275
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 0.65,
|
826 |
+
"learning_rate": 7.056842105263158e-06,
|
827 |
+
"loss": 0.2815,
|
828 |
+
"step": 3300
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.65,
|
832 |
+
"learning_rate": 7.030526315789474e-06,
|
833 |
+
"loss": 0.2831,
|
834 |
+
"step": 3325
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.66,
|
838 |
+
"learning_rate": 7.00421052631579e-06,
|
839 |
+
"loss": 0.2785,
|
840 |
+
"step": 3350
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 0.66,
|
844 |
+
"learning_rate": 6.977894736842106e-06,
|
845 |
+
"loss": 0.2826,
|
846 |
+
"step": 3375
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 0.67,
|
850 |
+
"learning_rate": 6.951578947368422e-06,
|
851 |
+
"loss": 0.2998,
|
852 |
+
"step": 3400
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 0.67,
|
856 |
+
"learning_rate": 6.9252631578947375e-06,
|
857 |
+
"loss": 0.2871,
|
858 |
+
"step": 3425
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.68,
|
862 |
+
"learning_rate": 6.8989473684210525e-06,
|
863 |
+
"loss": 0.2872,
|
864 |
+
"step": 3450
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.68,
|
868 |
+
"learning_rate": 6.872631578947368e-06,
|
869 |
+
"loss": 0.285,
|
870 |
+
"step": 3475
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.69,
|
874 |
+
"learning_rate": 6.846315789473684e-06,
|
875 |
+
"loss": 0.262,
|
876 |
+
"step": 3500
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 0.69,
|
880 |
+
"learning_rate": 6.820000000000001e-06,
|
881 |
+
"loss": 0.2817,
|
882 |
+
"step": 3525
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 0.7,
|
886 |
+
"learning_rate": 6.793684210526317e-06,
|
887 |
+
"loss": 0.3217,
|
888 |
+
"step": 3550
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 0.7,
|
892 |
+
"learning_rate": 6.767368421052632e-06,
|
893 |
+
"loss": 0.2713,
|
894 |
+
"step": 3575
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 0.71,
|
898 |
+
"learning_rate": 6.741052631578948e-06,
|
899 |
+
"loss": 0.283,
|
900 |
+
"step": 3600
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 0.71,
|
904 |
+
"learning_rate": 6.714736842105264e-06,
|
905 |
+
"loss": 0.2628,
|
906 |
+
"step": 3625
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.72,
|
910 |
+
"learning_rate": 6.68842105263158e-06,
|
911 |
+
"loss": 0.2848,
|
912 |
+
"step": 3650
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.72,
|
916 |
+
"learning_rate": 6.662105263157896e-06,
|
917 |
+
"loss": 0.2627,
|
918 |
+
"step": 3675
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 0.73,
|
922 |
+
"learning_rate": 6.635789473684211e-06,
|
923 |
+
"loss": 0.2856,
|
924 |
+
"step": 3700
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 0.73,
|
928 |
+
"learning_rate": 6.6094736842105265e-06,
|
929 |
+
"loss": 0.3,
|
930 |
+
"step": 3725
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 0.74,
|
934 |
+
"learning_rate": 6.583157894736842e-06,
|
935 |
+
"loss": 0.2938,
|
936 |
+
"step": 3750
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 0.74,
|
940 |
+
"learning_rate": 6.556842105263158e-06,
|
941 |
+
"loss": 0.2803,
|
942 |
+
"step": 3775
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 0.75,
|
946 |
+
"learning_rate": 6.530526315789474e-06,
|
947 |
+
"loss": 0.2604,
|
948 |
+
"step": 3800
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 0.75,
|
952 |
+
"learning_rate": 6.50421052631579e-06,
|
953 |
+
"loss": 0.2714,
|
954 |
+
"step": 3825
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.76,
|
958 |
+
"learning_rate": 6.477894736842106e-06,
|
959 |
+
"loss": 0.287,
|
960 |
+
"step": 3850
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 0.76,
|
964 |
+
"learning_rate": 6.451578947368422e-06,
|
965 |
+
"loss": 0.2969,
|
966 |
+
"step": 3875
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 0.77,
|
970 |
+
"learning_rate": 6.425263157894738e-06,
|
971 |
+
"loss": 0.2896,
|
972 |
+
"step": 3900
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 0.77,
|
976 |
+
"learning_rate": 6.398947368421054e-06,
|
977 |
+
"loss": 0.2662,
|
978 |
+
"step": 3925
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 0.78,
|
982 |
+
"learning_rate": 6.372631578947369e-06,
|
983 |
+
"loss": 0.2968,
|
984 |
+
"step": 3950
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.78,
|
988 |
+
"learning_rate": 6.346315789473685e-06,
|
989 |
+
"loss": 0.2705,
|
990 |
+
"step": 3975
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.79,
|
994 |
+
"learning_rate": 6.3200000000000005e-06,
|
995 |
+
"loss": 0.2711,
|
996 |
+
"step": 4000
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.79,
|
1000 |
+
"eval_loss": 0.40265464782714844,
|
1001 |
+
"eval_runtime": 124.4695,
|
1002 |
+
"eval_samples_per_second": 2.924,
|
1003 |
+
"eval_steps_per_second": 0.37,
|
1004 |
+
"eval_wer": 24.553828439838803,
|
1005 |
+
"step": 4000
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.79,
|
1009 |
+
"learning_rate": 6.293684210526316e-06,
|
1010 |
+
"loss": 0.2667,
|
1011 |
+
"step": 4025
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.8,
|
1015 |
+
"learning_rate": 6.267368421052632e-06,
|
1016 |
+
"loss": 0.2747,
|
1017 |
+
"step": 4050
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.8,
|
1021 |
+
"learning_rate": 6.241052631578948e-06,
|
1022 |
+
"loss": 0.3201,
|
1023 |
+
"step": 4075
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.81,
|
1027 |
+
"learning_rate": 6.214736842105264e-06,
|
1028 |
+
"loss": 0.2523,
|
1029 |
+
"step": 4100
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.81,
|
1033 |
+
"learning_rate": 6.188421052631579e-06,
|
1034 |
+
"loss": 0.2573,
|
1035 |
+
"step": 4125
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.82,
|
1039 |
+
"learning_rate": 6.1621052631578945e-06,
|
1040 |
+
"loss": 0.3094,
|
1041 |
+
"step": 4150
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.82,
|
1045 |
+
"learning_rate": 6.13578947368421e-06,
|
1046 |
+
"loss": 0.2669,
|
1047 |
+
"step": 4175
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.83,
|
1051 |
+
"learning_rate": 6.109473684210527e-06,
|
1052 |
+
"loss": 0.2698,
|
1053 |
+
"step": 4200
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.83,
|
1057 |
+
"learning_rate": 6.083157894736843e-06,
|
1058 |
+
"loss": 0.3148,
|
1059 |
+
"step": 4225
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.84,
|
1063 |
+
"learning_rate": 6.056842105263159e-06,
|
1064 |
+
"loss": 0.2804,
|
1065 |
+
"step": 4250
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.84,
|
1069 |
+
"learning_rate": 6.0305263157894745e-06,
|
1070 |
+
"loss": 0.2718,
|
1071 |
+
"step": 4275
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.85,
|
1075 |
+
"learning_rate": 6.00421052631579e-06,
|
1076 |
+
"loss": 0.289,
|
1077 |
+
"step": 4300
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.85,
|
1081 |
+
"learning_rate": 5.977894736842106e-06,
|
1082 |
+
"loss": 0.2663,
|
1083 |
+
"step": 4325
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.86,
|
1087 |
+
"learning_rate": 5.951578947368422e-06,
|
1088 |
+
"loss": 0.2903,
|
1089 |
+
"step": 4350
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.86,
|
1093 |
+
"learning_rate": 5.925263157894737e-06,
|
1094 |
+
"loss": 0.2876,
|
1095 |
+
"step": 4375
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.87,
|
1099 |
+
"learning_rate": 5.898947368421053e-06,
|
1100 |
+
"loss": 0.2769,
|
1101 |
+
"step": 4400
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.87,
|
1105 |
+
"learning_rate": 5.8726315789473685e-06,
|
1106 |
+
"loss": 0.3058,
|
1107 |
+
"step": 4425
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.88,
|
1111 |
+
"learning_rate": 5.846315789473684e-06,
|
1112 |
+
"loss": 0.2841,
|
1113 |
+
"step": 4450
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.88,
|
1117 |
+
"learning_rate": 5.82e-06,
|
1118 |
+
"loss": 0.2714,
|
1119 |
+
"step": 4475
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.89,
|
1123 |
+
"learning_rate": 5.793684210526316e-06,
|
1124 |
+
"loss": 0.2788,
|
1125 |
+
"step": 4500
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.89,
|
1129 |
+
"learning_rate": 5.767368421052632e-06,
|
1130 |
+
"loss": 0.2961,
|
1131 |
+
"step": 4525
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 0.9,
|
1135 |
+
"learning_rate": 5.7410526315789485e-06,
|
1136 |
+
"loss": 0.2789,
|
1137 |
+
"step": 4550
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.9,
|
1141 |
+
"learning_rate": 5.714736842105264e-06,
|
1142 |
+
"loss": 0.2521,
|
1143 |
+
"step": 4575
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.9,
|
1147 |
+
"learning_rate": 5.68842105263158e-06,
|
1148 |
+
"loss": 0.2723,
|
1149 |
+
"step": 4600
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.91,
|
1153 |
+
"learning_rate": 5.662105263157895e-06,
|
1154 |
+
"loss": 0.2755,
|
1155 |
+
"step": 4625
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 0.91,
|
1159 |
+
"learning_rate": 5.635789473684211e-06,
|
1160 |
+
"loss": 0.2779,
|
1161 |
+
"step": 4650
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.92,
|
1165 |
+
"learning_rate": 5.609473684210527e-06,
|
1166 |
+
"loss": 0.2721,
|
1167 |
+
"step": 4675
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.92,
|
1171 |
+
"learning_rate": 5.5831578947368425e-06,
|
1172 |
+
"loss": 0.2822,
|
1173 |
+
"step": 4700
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 0.93,
|
1177 |
+
"learning_rate": 5.556842105263158e-06,
|
1178 |
+
"loss": 0.2809,
|
1179 |
+
"step": 4725
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.93,
|
1183 |
+
"learning_rate": 5.530526315789474e-06,
|
1184 |
+
"loss": 0.292,
|
1185 |
+
"step": 4750
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.94,
|
1189 |
+
"learning_rate": 5.50421052631579e-06,
|
1190 |
+
"loss": 0.2808,
|
1191 |
+
"step": 4775
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.94,
|
1195 |
+
"learning_rate": 5.477894736842105e-06,
|
1196 |
+
"loss": 0.2725,
|
1197 |
+
"step": 4800
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.95,
|
1201 |
+
"learning_rate": 5.451578947368421e-06,
|
1202 |
+
"loss": 0.2849,
|
1203 |
+
"step": 4825
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.95,
|
1207 |
+
"learning_rate": 5.425263157894737e-06,
|
1208 |
+
"loss": 0.259,
|
1209 |
+
"step": 4850
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.96,
|
1213 |
+
"learning_rate": 5.398947368421053e-06,
|
1214 |
+
"loss": 0.2851,
|
1215 |
+
"step": 4875
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.96,
|
1219 |
+
"learning_rate": 5.372631578947369e-06,
|
1220 |
+
"loss": 0.2623,
|
1221 |
+
"step": 4900
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.97,
|
1225 |
+
"learning_rate": 5.346315789473685e-06,
|
1226 |
+
"loss": 0.2717,
|
1227 |
+
"step": 4925
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.97,
|
1231 |
+
"learning_rate": 5.320000000000001e-06,
|
1232 |
+
"loss": 0.2636,
|
1233 |
+
"step": 4950
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.98,
|
1237 |
+
"learning_rate": 5.2936842105263166e-06,
|
1238 |
+
"loss": 0.2507,
|
1239 |
+
"step": 4975
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.98,
|
1243 |
+
"learning_rate": 5.267368421052632e-06,
|
1244 |
+
"loss": 0.2813,
|
1245 |
+
"step": 5000
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.98,
|
1249 |
+
"eval_loss": 0.40285831689834595,
|
1250 |
+
"eval_runtime": 136.71,
|
1251 |
+
"eval_samples_per_second": 2.663,
|
1252 |
+
"eval_steps_per_second": 0.336,
|
1253 |
+
"eval_wer": 28.64133563615429,
|
1254 |
+
"step": 5000
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 0.99,
|
1258 |
+
"learning_rate": 5.241052631578948e-06,
|
1259 |
+
"loss": 0.2846,
|
1260 |
+
"step": 5025
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 0.99,
|
1264 |
+
"learning_rate": 5.214736842105263e-06,
|
1265 |
+
"loss": 0.2714,
|
1266 |
+
"step": 5050
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 1.0,
|
1270 |
+
"learning_rate": 5.188421052631579e-06,
|
1271 |
+
"loss": 0.2649,
|
1272 |
+
"step": 5075
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 1.0,
|
1276 |
+
"learning_rate": 5.163157894736842e-06,
|
1277 |
+
"loss": 0.1556,
|
1278 |
+
"step": 5100
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 1.01,
|
1282 |
+
"learning_rate": 5.136842105263158e-06,
|
1283 |
+
"loss": 0.1398,
|
1284 |
+
"step": 5125
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 1.01,
|
1288 |
+
"learning_rate": 5.110526315789474e-06,
|
1289 |
+
"loss": 0.1525,
|
1290 |
+
"step": 5150
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 1.02,
|
1294 |
+
"learning_rate": 5.084210526315791e-06,
|
1295 |
+
"loss": 0.1471,
|
1296 |
+
"step": 5175
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 1.02,
|
1300 |
+
"learning_rate": 5.0578947368421065e-06,
|
1301 |
+
"loss": 0.1335,
|
1302 |
+
"step": 5200
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 1.03,
|
1306 |
+
"learning_rate": 5.0315789473684214e-06,
|
1307 |
+
"loss": 0.1501,
|
1308 |
+
"step": 5225
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 1.03,
|
1312 |
+
"learning_rate": 5.005263157894737e-06,
|
1313 |
+
"loss": 0.1479,
|
1314 |
+
"step": 5250
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 1.04,
|
1318 |
+
"learning_rate": 4.978947368421053e-06,
|
1319 |
+
"loss": 0.1557,
|
1320 |
+
"step": 5275
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 1.04,
|
1324 |
+
"learning_rate": 4.952631578947369e-06,
|
1325 |
+
"loss": 0.1426,
|
1326 |
+
"step": 5300
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 1.05,
|
1330 |
+
"learning_rate": 4.926315789473685e-06,
|
1331 |
+
"loss": 0.1535,
|
1332 |
+
"step": 5325
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 1.05,
|
1336 |
+
"learning_rate": 4.9000000000000005e-06,
|
1337 |
+
"loss": 0.1408,
|
1338 |
+
"step": 5350
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 1.06,
|
1342 |
+
"learning_rate": 4.873684210526316e-06,
|
1343 |
+
"loss": 0.1407,
|
1344 |
+
"step": 5375
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 1.06,
|
1348 |
+
"learning_rate": 4.847368421052631e-06,
|
1349 |
+
"loss": 0.136,
|
1350 |
+
"step": 5400
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 1.07,
|
1354 |
+
"learning_rate": 4.821052631578948e-06,
|
1355 |
+
"loss": 0.1427,
|
1356 |
+
"step": 5425
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 1.07,
|
1360 |
+
"learning_rate": 4.794736842105264e-06,
|
1361 |
+
"loss": 0.1456,
|
1362 |
+
"step": 5450
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 1.08,
|
1366 |
+
"learning_rate": 4.76842105263158e-06,
|
1367 |
+
"loss": 0.1467,
|
1368 |
+
"step": 5475
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 1.08,
|
1372 |
+
"learning_rate": 4.7421052631578954e-06,
|
1373 |
+
"loss": 0.1422,
|
1374 |
+
"step": 5500
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 1.09,
|
1378 |
+
"learning_rate": 4.71578947368421e-06,
|
1379 |
+
"loss": 0.1347,
|
1380 |
+
"step": 5525
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 1.09,
|
1384 |
+
"learning_rate": 4.689473684210526e-06,
|
1385 |
+
"loss": 0.1395,
|
1386 |
+
"step": 5550
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 1.1,
|
1390 |
+
"learning_rate": 4.663157894736842e-06,
|
1391 |
+
"loss": 0.137,
|
1392 |
+
"step": 5575
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 1.1,
|
1396 |
+
"learning_rate": 4.636842105263159e-06,
|
1397 |
+
"loss": 0.1567,
|
1398 |
+
"step": 5600
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 1.11,
|
1402 |
+
"learning_rate": 4.6105263157894745e-06,
|
1403 |
+
"loss": 0.1358,
|
1404 |
+
"step": 5625
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 1.11,
|
1408 |
+
"learning_rate": 4.5842105263157895e-06,
|
1409 |
+
"loss": 0.1427,
|
1410 |
+
"step": 5650
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 1.12,
|
1414 |
+
"learning_rate": 4.557894736842105e-06,
|
1415 |
+
"loss": 0.1345,
|
1416 |
+
"step": 5675
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 1.12,
|
1420 |
+
"learning_rate": 4.531578947368421e-06,
|
1421 |
+
"loss": 0.1322,
|
1422 |
+
"step": 5700
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 1.13,
|
1426 |
+
"learning_rate": 4.505263157894737e-06,
|
1427 |
+
"loss": 0.1433,
|
1428 |
+
"step": 5725
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 1.13,
|
1432 |
+
"learning_rate": 4.478947368421054e-06,
|
1433 |
+
"loss": 0.1439,
|
1434 |
+
"step": 5750
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 1.14,
|
1438 |
+
"learning_rate": 4.452631578947369e-06,
|
1439 |
+
"loss": 0.1379,
|
1440 |
+
"step": 5775
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 1.14,
|
1444 |
+
"learning_rate": 4.426315789473684e-06,
|
1445 |
+
"loss": 0.159,
|
1446 |
+
"step": 5800
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 1.15,
|
1450 |
+
"learning_rate": 4.4e-06,
|
1451 |
+
"loss": 0.1276,
|
1452 |
+
"step": 5825
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 1.15,
|
1456 |
+
"learning_rate": 4.373684210526316e-06,
|
1457 |
+
"loss": 0.1646,
|
1458 |
+
"step": 5850
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 1.16,
|
1462 |
+
"learning_rate": 4.347368421052632e-06,
|
1463 |
+
"loss": 0.1396,
|
1464 |
+
"step": 5875
|
1465 |
+
},
|
1466 |
+
{
|
1467 |
+
"epoch": 1.16,
|
1468 |
+
"learning_rate": 4.321052631578948e-06,
|
1469 |
+
"loss": 0.144,
|
1470 |
+
"step": 5900
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 1.17,
|
1474 |
+
"learning_rate": 4.2947368421052635e-06,
|
1475 |
+
"loss": 0.1513,
|
1476 |
+
"step": 5925
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 1.17,
|
1480 |
+
"learning_rate": 4.268421052631579e-06,
|
1481 |
+
"loss": 0.1327,
|
1482 |
+
"step": 5950
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 1.18,
|
1486 |
+
"learning_rate": 4.242105263157895e-06,
|
1487 |
+
"loss": 0.1505,
|
1488 |
+
"step": 5975
|
1489 |
+
},
|
1490 |
+
{
|
1491 |
+
"epoch": 1.18,
|
1492 |
+
"learning_rate": 4.215789473684211e-06,
|
1493 |
+
"loss": 0.1416,
|
1494 |
+
"step": 6000
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 1.18,
|
1498 |
+
"eval_loss": 0.4078451991081238,
|
1499 |
+
"eval_runtime": 128.4582,
|
1500 |
+
"eval_samples_per_second": 2.834,
|
1501 |
+
"eval_steps_per_second": 0.358,
|
1502 |
+
"eval_wer": 25.99309153713299,
|
1503 |
+
"step": 6000
|
1504 |
+
}
|
1505 |
+
],
|
1506 |
+
"logging_steps": 25,
|
1507 |
+
"max_steps": 10000,
|
1508 |
+
"num_input_tokens_seen": 0,
|
1509 |
+
"num_train_epochs": 2,
|
1510 |
+
"save_steps": 1000,
|
1511 |
+
"total_flos": 2.76998696497152e+19,
|
1512 |
+
"train_batch_size": 16,
|
1513 |
+
"trial_name": null,
|
1514 |
+
"trial_params": null
|
1515 |
+
}
|