Dragon116rus commited on
Commit
0efdc7c
·
verified ·
1 Parent(s): 70bb415

Saving train state of step 10000

Browse files
checkpoint-10000-epoch-11/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6d61ed795913c116c144082c88d37d1ead57d3c5de60e0a7df65f5174f0d62c1
3
- size 151061672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52fe217e6a5cd97e860be8437d5bb523c198c27466400028438c86fe0b669a69
3
+ size 966995080
checkpoint-10000-epoch-11/optimizer.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:df8ebc9a861f0de834afaebdc67560326d65aaa841850bea5a6ba86a55096f8c
3
- size 235125050
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca581ecc01b380beae4ebeb3e1f31b4ce313979d704bbe461195134e65daa490
3
+ size 1226138042
checkpoint-10000-epoch-11/random_states_0.pkl CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0344c1754bb9afd2eb3884b47769dda6922c6045849d9f41cb1697f4ced6085f
3
  size 14344
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:784c504b952e6e5322252dc6ed29d224c5544435f65d670e1f3ac5c1580ef664
3
  size 14344
checkpoint-10000-epoch-11/scaler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1b22b7db471cfce5f24c3a06d326cb4dbb4b46557c783f4a23248462f7292c16
3
  size 988
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e24cf62bbe9d37fb0fa1bd7605633c18b8267073d955dffec23a49be9f54b879
3
  size 988
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "openai/whisper-base",
3
  "activation_dropout": 0.0,
4
  "activation_function": "gelu",
5
  "apply_spec_augment": false,
@@ -13,32 +13,19 @@
13
  ],
14
  "bos_token_id": 50257,
15
  "classifier_proj_size": 256,
16
- "d_model": 512,
17
- "decoder_attention_heads": 8,
18
- "decoder_ffn_dim": 2048,
19
  "decoder_layerdrop": 0.0,
20
- "decoder_layers": 6,
21
  "decoder_start_token_id": 50258,
22
  "dropout": 0.0,
23
- "encoder_attention_heads": 8,
24
- "encoder_ffn_dim": 2048,
25
  "encoder_layerdrop": 0.0,
26
- "encoder_layers": 6,
27
  "eos_token_id": 50257,
28
- "forced_decoder_ids": [
29
- [
30
- 1,
31
- 50259
32
- ],
33
- [
34
- 2,
35
- 50359
36
- ],
37
- [
38
- 3,
39
- 50363
40
- ]
41
- ],
42
  "init_std": 0.02,
43
  "is_encoder_decoder": true,
44
  "mask_feature_length": 10,
@@ -52,103 +39,13 @@
52
  "max_target_positions": 448,
53
  "median_filter_width": 7,
54
  "model_type": "whisper",
55
- "num_hidden_layers": 6,
56
  "num_mel_bins": 80,
57
  "pad_token_id": 50257,
58
  "scale_embedding": false,
59
- "suppress_tokens": [
60
- 1,
61
- 2,
62
- 7,
63
- 8,
64
- 9,
65
- 10,
66
- 14,
67
- 25,
68
- 26,
69
- 27,
70
- 28,
71
- 29,
72
- 31,
73
- 58,
74
- 59,
75
- 60,
76
- 61,
77
- 62,
78
- 63,
79
- 90,
80
- 91,
81
- 92,
82
- 93,
83
- 359,
84
- 503,
85
- 522,
86
- 542,
87
- 873,
88
- 893,
89
- 902,
90
- 918,
91
- 922,
92
- 931,
93
- 1350,
94
- 1853,
95
- 1982,
96
- 2460,
97
- 2627,
98
- 3246,
99
- 3253,
100
- 3268,
101
- 3536,
102
- 3846,
103
- 3961,
104
- 4183,
105
- 4667,
106
- 6585,
107
- 6647,
108
- 7273,
109
- 9061,
110
- 9383,
111
- 10428,
112
- 10929,
113
- 11938,
114
- 12033,
115
- 12331,
116
- 12562,
117
- 13793,
118
- 14157,
119
- 14635,
120
- 15265,
121
- 15618,
122
- 16553,
123
- 16604,
124
- 18362,
125
- 18956,
126
- 20075,
127
- 21675,
128
- 22520,
129
- 26130,
130
- 26161,
131
- 26435,
132
- 28279,
133
- 29464,
134
- 31650,
135
- 32302,
136
- 32470,
137
- 36865,
138
- 42863,
139
- 47425,
140
- 49870,
141
- 50254,
142
- 50258,
143
- 50358,
144
- 50359,
145
- 50360,
146
- 50361,
147
- 50362
148
- ],
149
  "torch_dtype": "float32",
150
  "transformers_version": "4.39.3",
151
- "use_cache": true,
152
  "use_weighted_layer_sum": false,
153
  "vocab_size": 51865
154
  }
 
1
  {
2
+ "_name_or_path": "openai/whisper-small",
3
  "activation_dropout": 0.0,
4
  "activation_function": "gelu",
5
  "apply_spec_augment": false,
 
13
  ],
14
  "bos_token_id": 50257,
15
  "classifier_proj_size": 256,
16
+ "d_model": 768,
17
+ "decoder_attention_heads": 12,
18
+ "decoder_ffn_dim": 3072,
19
  "decoder_layerdrop": 0.0,
20
+ "decoder_layers": 12,
21
  "decoder_start_token_id": 50258,
22
  "dropout": 0.0,
23
+ "encoder_attention_heads": 12,
24
+ "encoder_ffn_dim": 3072,
25
  "encoder_layerdrop": 0.0,
26
+ "encoder_layers": 12,
27
  "eos_token_id": 50257,
28
+ "forced_decoder_ids": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
29
  "init_std": 0.02,
30
  "is_encoder_decoder": true,
31
  "mask_feature_length": 10,
 
39
  "max_target_positions": 448,
40
  "median_filter_width": 7,
41
  "model_type": "whisper",
42
+ "num_hidden_layers": 12,
43
  "num_mel_bins": 80,
44
  "pad_token_id": 50257,
45
  "scale_embedding": false,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
46
  "torch_dtype": "float32",
47
  "transformers_version": "4.39.3",
48
+ "use_cache": false,
49
  "use_weighted_layer_sum": false,
50
  "vocab_size": 51865
51
  }
distil-whisper/events.out.tfevents.1712497160.train02.3818418.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:488c7f8e131e53deb32e18ceff1ede6f6d8906db167e1f9243990443470d163a
3
- size 25205
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:796a933fb8c0781ef8ab2a700b4ebada768fe833e212c1dcc57554279d63f8cd
3
+ size 28652
distil-whisper/events.out.tfevents.1712498670.train02.3824338.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04a89e2c482202d52455efb1b078010941ee452edd34d3e1e7dfd3bd6b40ac12
3
+ size 88
distil-whisper/events.out.tfevents.1712499038.train02.3824559.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f5bd009615c92e0bfc7376efae308d46625875f3d0d6c81e7d1d165cd88c3fc
3
+ size 124058
dvclive/metrics.json CHANGED
@@ -1,14 +1,8 @@
1
  {
2
  "train": {
3
- "time": 789.9823546409607,
4
- "epoch": 2,
5
  "learning_rate": 0.0001
6
  },
7
- "step": 2000,
8
- "eval": {
9
- "wer": 24.878673576103687,
10
- "wer_ortho": 31.063949336860713,
11
- "time": 248.15888285636902,
12
- "epoch": 1
13
- }
14
  }
 
1
  {
2
  "train": {
3
+ "time": 5157.355662584305,
4
+ "epoch": 11,
5
  "learning_rate": 0.0001
6
  },
7
+ "step": 10000
 
 
 
 
 
 
8
  }
dvclive/plots/metrics/train/epoch.tsv CHANGED
@@ -79,3 +79,323 @@ step epoch
79
  1950 2
80
  1975 2
81
  2000 2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  1950 2
80
  1975 2
81
  2000 2
82
+ 2025 2
83
+ 2050 2
84
+ 2075 2
85
+ 2100 2
86
+ 2125 2
87
+ 2150 2
88
+ 2175 2
89
+ 2200 2
90
+ 2225 2
91
+ 2250 2
92
+ 2275 2
93
+ 2300 2
94
+ 2325 2
95
+ 2350 2
96
+ 2375 2
97
+ 2400 2
98
+ 2425 2
99
+ 2450 2
100
+ 2475 2
101
+ 2500 2
102
+ 2525 2
103
+ 2550 2
104
+ 2575 2
105
+ 2600 3
106
+ 2625 3
107
+ 2650 3
108
+ 2675 3
109
+ 2700 3
110
+ 2725 3
111
+ 2750 3
112
+ 2775 3
113
+ 2800 3
114
+ 2825 3
115
+ 2850 3
116
+ 2875 3
117
+ 2900 3
118
+ 2925 3
119
+ 2950 3
120
+ 2975 3
121
+ 3000 3
122
+ 3025 3
123
+ 3050 3
124
+ 3075 3
125
+ 3100 3
126
+ 3125 3
127
+ 3150 3
128
+ 3175 3
129
+ 3200 3
130
+ 3225 3
131
+ 3250 3
132
+ 3275 3
133
+ 3300 3
134
+ 3325 3
135
+ 3350 3
136
+ 3375 3
137
+ 3400 3
138
+ 3425 3
139
+ 3450 4
140
+ 3475 4
141
+ 3500 4
142
+ 3525 4
143
+ 3550 4
144
+ 3575 4
145
+ 3600 4
146
+ 3625 4
147
+ 3650 4
148
+ 3675 4
149
+ 3700 4
150
+ 3725 4
151
+ 3750 4
152
+ 3775 4
153
+ 3800 4
154
+ 3825 4
155
+ 3850 4
156
+ 3875 4
157
+ 3900 4
158
+ 3925 4
159
+ 3950 4
160
+ 3975 4
161
+ 4000 4
162
+ 4025 4
163
+ 4050 4
164
+ 4075 4
165
+ 4100 4
166
+ 4125 4
167
+ 4150 4
168
+ 4175 4
169
+ 4200 4
170
+ 4225 4
171
+ 4250 4
172
+ 4275 4
173
+ 4300 4
174
+ 4325 5
175
+ 4350 5
176
+ 4375 5
177
+ 4400 5
178
+ 4425 5
179
+ 4450 5
180
+ 4475 5
181
+ 4500 5
182
+ 4525 5
183
+ 4550 5
184
+ 4575 5
185
+ 4600 5
186
+ 4625 5
187
+ 4650 5
188
+ 4675 5
189
+ 4700 5
190
+ 4725 5
191
+ 4750 5
192
+ 4775 5
193
+ 4800 5
194
+ 4825 5
195
+ 4850 5
196
+ 4875 5
197
+ 4900 5
198
+ 4925 5
199
+ 4950 5
200
+ 4975 5
201
+ 5000 5
202
+ 5025 5
203
+ 5050 5
204
+ 5075 5
205
+ 5100 5
206
+ 5125 5
207
+ 5150 5
208
+ 5175 6
209
+ 5200 6
210
+ 5225 6
211
+ 5250 6
212
+ 5275 6
213
+ 5300 6
214
+ 5325 6
215
+ 5350 6
216
+ 5375 6
217
+ 5400 6
218
+ 5425 6
219
+ 5450 6
220
+ 5475 6
221
+ 5500 6
222
+ 5525 6
223
+ 5550 6
224
+ 5575 6
225
+ 5600 6
226
+ 5625 6
227
+ 5650 6
228
+ 5675 6
229
+ 5700 6
230
+ 5725 6
231
+ 5750 6
232
+ 5775 6
233
+ 5800 6
234
+ 5825 6
235
+ 5850 6
236
+ 5875 6
237
+ 5900 6
238
+ 5925 6
239
+ 5950 6
240
+ 5975 6
241
+ 6000 6
242
+ 6025 6
243
+ 6050 7
244
+ 6075 7
245
+ 6100 7
246
+ 6125 7
247
+ 6150 7
248
+ 6175 7
249
+ 6200 7
250
+ 6225 7
251
+ 6250 7
252
+ 6275 7
253
+ 6300 7
254
+ 6325 7
255
+ 6350 7
256
+ 6375 7
257
+ 6400 7
258
+ 6425 7
259
+ 6450 7
260
+ 6475 7
261
+ 6500 7
262
+ 6525 7
263
+ 6550 7
264
+ 6575 7
265
+ 6600 7
266
+ 6625 7
267
+ 6650 7
268
+ 6675 7
269
+ 6700 7
270
+ 6725 7
271
+ 6750 7
272
+ 6775 7
273
+ 6800 7
274
+ 6825 7
275
+ 6850 7
276
+ 6875 7
277
+ 6900 8
278
+ 6925 8
279
+ 6950 8
280
+ 6975 8
281
+ 7000 8
282
+ 7025 8
283
+ 7050 8
284
+ 7075 8
285
+ 7100 8
286
+ 7125 8
287
+ 7150 8
288
+ 7175 8
289
+ 7200 8
290
+ 7225 8
291
+ 7250 8
292
+ 7275 8
293
+ 7300 8
294
+ 7325 8
295
+ 7350 8
296
+ 7375 8
297
+ 7400 8
298
+ 7425 8
299
+ 7450 8
300
+ 7475 8
301
+ 7500 8
302
+ 7525 8
303
+ 7550 8
304
+ 7575 8
305
+ 7600 8
306
+ 7625 8
307
+ 7650 8
308
+ 7675 8
309
+ 7700 8
310
+ 7725 8
311
+ 7750 9
312
+ 7775 9
313
+ 7800 9
314
+ 7825 9
315
+ 7850 9
316
+ 7875 9
317
+ 7900 9
318
+ 7925 9
319
+ 7950 9
320
+ 7975 9
321
+ 8000 9
322
+ 8025 9
323
+ 8050 9
324
+ 8075 9
325
+ 8100 9
326
+ 8125 9
327
+ 8150 9
328
+ 8175 9
329
+ 8200 9
330
+ 8225 9
331
+ 8250 9
332
+ 8275 9
333
+ 8300 9
334
+ 8325 9
335
+ 8350 9
336
+ 8375 9
337
+ 8400 9
338
+ 8425 9
339
+ 8450 9
340
+ 8475 9
341
+ 8500 9
342
+ 8525 9
343
+ 8550 9
344
+ 8575 9
345
+ 8600 9
346
+ 8625 10
347
+ 8650 10
348
+ 8675 10
349
+ 8700 10
350
+ 8725 10
351
+ 8750 10
352
+ 8775 10
353
+ 8800 10
354
+ 8825 10
355
+ 8850 10
356
+ 8875 10
357
+ 8900 10
358
+ 8925 10
359
+ 8950 10
360
+ 8975 10
361
+ 9000 10
362
+ 9025 10
363
+ 9050 10
364
+ 9075 10
365
+ 9100 10
366
+ 9125 10
367
+ 9150 10
368
+ 9175 10
369
+ 9200 10
370
+ 9225 10
371
+ 9250 10
372
+ 9275 10
373
+ 9300 10
374
+ 9325 10
375
+ 9350 10
376
+ 9375 10
377
+ 9400 10
378
+ 9425 10
379
+ 9450 10
380
+ 9475 11
381
+ 9500 11
382
+ 9525 11
383
+ 9550 11
384
+ 9575 11
385
+ 9600 11
386
+ 9625 11
387
+ 9650 11
388
+ 9675 11
389
+ 9700 11
390
+ 9725 11
391
+ 9750 11
392
+ 9775 11
393
+ 9800 11
394
+ 9825 11
395
+ 9850 11
396
+ 9875 11
397
+ 9900 11
398
+ 9925 11
399
+ 9950 11
400
+ 9975 11
401
+ 10000 11
dvclive/plots/metrics/train/learning_rate.tsv CHANGED
@@ -1,6 +1,6 @@
1
  step learning_rate
2
- 25 4.4000000000000006e-05
3
- 50 9.4e-05
4
  75 0.0001
5
  100 0.0001
6
  125 0.0001
@@ -79,3 +79,323 @@ step learning_rate
79
  1950 0.0001
80
  1975 0.0001
81
  2000 0.0001
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  step learning_rate
2
+ 25 4e-05
3
+ 50 9e-05
4
  75 0.0001
5
  100 0.0001
6
  125 0.0001
 
79
  1950 0.0001
80
  1975 0.0001
81
  2000 0.0001
82
+ 2025 0.0001
83
+ 2050 0.0001
84
+ 2075 0.0001
85
+ 2100 0.0001
86
+ 2125 0.0001
87
+ 2150 0.0001
88
+ 2175 0.0001
89
+ 2200 0.0001
90
+ 2225 0.0001
91
+ 2250 0.0001
92
+ 2275 0.0001
93
+ 2300 0.0001
94
+ 2325 0.0001
95
+ 2350 0.0001
96
+ 2375 0.0001
97
+ 2400 0.0001
98
+ 2425 0.0001
99
+ 2450 0.0001
100
+ 2475 0.0001
101
+ 2500 0.0001
102
+ 2525 0.0001
103
+ 2550 0.0001
104
+ 2575 0.0001
105
+ 2600 0.0001
106
+ 2625 0.0001
107
+ 2650 0.0001
108
+ 2675 0.0001
109
+ 2700 0.0001
110
+ 2725 0.0001
111
+ 2750 0.0001
112
+ 2775 0.0001
113
+ 2800 0.0001
114
+ 2825 0.0001
115
+ 2850 0.0001
116
+ 2875 0.0001
117
+ 2900 0.0001
118
+ 2925 0.0001
119
+ 2950 0.0001
120
+ 2975 0.0001
121
+ 3000 0.0001
122
+ 3025 0.0001
123
+ 3050 0.0001
124
+ 3075 0.0001
125
+ 3100 0.0001
126
+ 3125 0.0001
127
+ 3150 0.0001
128
+ 3175 0.0001
129
+ 3200 0.0001
130
+ 3225 0.0001
131
+ 3250 0.0001
132
+ 3275 0.0001
133
+ 3300 0.0001
134
+ 3325 0.0001
135
+ 3350 0.0001
136
+ 3375 0.0001
137
+ 3400 0.0001
138
+ 3425 0.0001
139
+ 3450 0.0001
140
+ 3475 0.0001
141
+ 3500 0.0001
142
+ 3525 0.0001
143
+ 3550 0.0001
144
+ 3575 0.0001
145
+ 3600 0.0001
146
+ 3625 0.0001
147
+ 3650 0.0001
148
+ 3675 0.0001
149
+ 3700 0.0001
150
+ 3725 0.0001
151
+ 3750 0.0001
152
+ 3775 0.0001
153
+ 3800 0.0001
154
+ 3825 0.0001
155
+ 3850 0.0001
156
+ 3875 0.0001
157
+ 3900 0.0001
158
+ 3925 0.0001
159
+ 3950 0.0001
160
+ 3975 0.0001
161
+ 4000 0.0001
162
+ 4025 0.0001
163
+ 4050 0.0001
164
+ 4075 0.0001
165
+ 4100 0.0001
166
+ 4125 0.0001
167
+ 4150 0.0001
168
+ 4175 0.0001
169
+ 4200 0.0001
170
+ 4225 0.0001
171
+ 4250 0.0001
172
+ 4275 0.0001
173
+ 4300 0.0001
174
+ 4325 0.0001
175
+ 4350 0.0001
176
+ 4375 0.0001
177
+ 4400 0.0001
178
+ 4425 0.0001
179
+ 4450 0.0001
180
+ 4475 0.0001
181
+ 4500 0.0001
182
+ 4525 0.0001
183
+ 4550 0.0001
184
+ 4575 0.0001
185
+ 4600 0.0001
186
+ 4625 0.0001
187
+ 4650 0.0001
188
+ 4675 0.0001
189
+ 4700 0.0001
190
+ 4725 0.0001
191
+ 4750 0.0001
192
+ 4775 0.0001
193
+ 4800 0.0001
194
+ 4825 0.0001
195
+ 4850 0.0001
196
+ 4875 0.0001
197
+ 4900 0.0001
198
+ 4925 0.0001
199
+ 4950 0.0001
200
+ 4975 0.0001
201
+ 5000 0.0001
202
+ 5025 0.0001
203
+ 5050 0.0001
204
+ 5075 0.0001
205
+ 5100 0.0001
206
+ 5125 0.0001
207
+ 5150 0.0001
208
+ 5175 0.0001
209
+ 5200 0.0001
210
+ 5225 0.0001
211
+ 5250 0.0001
212
+ 5275 0.0001
213
+ 5300 0.0001
214
+ 5325 0.0001
215
+ 5350 0.0001
216
+ 5375 0.0001
217
+ 5400 0.0001
218
+ 5425 0.0001
219
+ 5450 0.0001
220
+ 5475 0.0001
221
+ 5500 0.0001
222
+ 5525 0.0001
223
+ 5550 0.0001
224
+ 5575 0.0001
225
+ 5600 0.0001
226
+ 5625 0.0001
227
+ 5650 0.0001
228
+ 5675 0.0001
229
+ 5700 0.0001
230
+ 5725 0.0001
231
+ 5750 0.0001
232
+ 5775 0.0001
233
+ 5800 0.0001
234
+ 5825 0.0001
235
+ 5850 0.0001
236
+ 5875 0.0001
237
+ 5900 0.0001
238
+ 5925 0.0001
239
+ 5950 0.0001
240
+ 5975 0.0001
241
+ 6000 0.0001
242
+ 6025 0.0001
243
+ 6050 0.0001
244
+ 6075 0.0001
245
+ 6100 0.0001
246
+ 6125 0.0001
247
+ 6150 0.0001
248
+ 6175 0.0001
249
+ 6200 0.0001
250
+ 6225 0.0001
251
+ 6250 0.0001
252
+ 6275 0.0001
253
+ 6300 0.0001
254
+ 6325 0.0001
255
+ 6350 0.0001
256
+ 6375 0.0001
257
+ 6400 0.0001
258
+ 6425 0.0001
259
+ 6450 0.0001
260
+ 6475 0.0001
261
+ 6500 0.0001
262
+ 6525 0.0001
263
+ 6550 0.0001
264
+ 6575 0.0001
265
+ 6600 0.0001
266
+ 6625 0.0001
267
+ 6650 0.0001
268
+ 6675 0.0001
269
+ 6700 0.0001
270
+ 6725 0.0001
271
+ 6750 0.0001
272
+ 6775 0.0001
273
+ 6800 0.0001
274
+ 6825 0.0001
275
+ 6850 0.0001
276
+ 6875 0.0001
277
+ 6900 0.0001
278
+ 6925 0.0001
279
+ 6950 0.0001
280
+ 6975 0.0001
281
+ 7000 0.0001
282
+ 7025 0.0001
283
+ 7050 0.0001
284
+ 7075 0.0001
285
+ 7100 0.0001
286
+ 7125 0.0001
287
+ 7150 0.0001
288
+ 7175 0.0001
289
+ 7200 0.0001
290
+ 7225 0.0001
291
+ 7250 0.0001
292
+ 7275 0.0001
293
+ 7300 0.0001
294
+ 7325 0.0001
295
+ 7350 0.0001
296
+ 7375 0.0001
297
+ 7400 0.0001
298
+ 7425 0.0001
299
+ 7450 0.0001
300
+ 7475 0.0001
301
+ 7500 0.0001
302
+ 7525 0.0001
303
+ 7550 0.0001
304
+ 7575 0.0001
305
+ 7600 0.0001
306
+ 7625 0.0001
307
+ 7650 0.0001
308
+ 7675 0.0001
309
+ 7700 0.0001
310
+ 7725 0.0001
311
+ 7750 0.0001
312
+ 7775 0.0001
313
+ 7800 0.0001
314
+ 7825 0.0001
315
+ 7850 0.0001
316
+ 7875 0.0001
317
+ 7900 0.0001
318
+ 7925 0.0001
319
+ 7950 0.0001
320
+ 7975 0.0001
321
+ 8000 0.0001
322
+ 8025 0.0001
323
+ 8050 0.0001
324
+ 8075 0.0001
325
+ 8100 0.0001
326
+ 8125 0.0001
327
+ 8150 0.0001
328
+ 8175 0.0001
329
+ 8200 0.0001
330
+ 8225 0.0001
331
+ 8250 0.0001
332
+ 8275 0.0001
333
+ 8300 0.0001
334
+ 8325 0.0001
335
+ 8350 0.0001
336
+ 8375 0.0001
337
+ 8400 0.0001
338
+ 8425 0.0001
339
+ 8450 0.0001
340
+ 8475 0.0001
341
+ 8500 0.0001
342
+ 8525 0.0001
343
+ 8550 0.0001
344
+ 8575 0.0001
345
+ 8600 0.0001
346
+ 8625 0.0001
347
+ 8650 0.0001
348
+ 8675 0.0001
349
+ 8700 0.0001
350
+ 8725 0.0001
351
+ 8750 0.0001
352
+ 8775 0.0001
353
+ 8800 0.0001
354
+ 8825 0.0001
355
+ 8850 0.0001
356
+ 8875 0.0001
357
+ 8900 0.0001
358
+ 8925 0.0001
359
+ 8950 0.0001
360
+ 8975 0.0001
361
+ 9000 0.0001
362
+ 9025 0.0001
363
+ 9050 0.0001
364
+ 9075 0.0001
365
+ 9100 0.0001
366
+ 9125 0.0001
367
+ 9150 0.0001
368
+ 9175 0.0001
369
+ 9200 0.0001
370
+ 9225 0.0001
371
+ 9250 0.0001
372
+ 9275 0.0001
373
+ 9300 0.0001
374
+ 9325 0.0001
375
+ 9350 0.0001
376
+ 9375 0.0001
377
+ 9400 0.0001
378
+ 9425 0.0001
379
+ 9450 0.0001
380
+ 9475 0.0001
381
+ 9500 0.0001
382
+ 9525 0.0001
383
+ 9550 0.0001
384
+ 9575 0.0001
385
+ 9600 0.0001
386
+ 9625 0.0001
387
+ 9650 0.0001
388
+ 9675 0.0001
389
+ 9700 0.0001
390
+ 9725 0.0001
391
+ 9750 0.0001
392
+ 9775 0.0001
393
+ 9800 0.0001
394
+ 9825 0.0001
395
+ 9850 0.0001
396
+ 9875 0.0001
397
+ 9900 0.0001
398
+ 9925 0.0001
399
+ 9950 0.0001
400
+ 9975 0.0001
401
+ 10000 0.0001
dvclive/plots/metrics/train/time.tsv CHANGED
@@ -1,81 +1,401 @@
1
  step time
2
- 25 11.847493886947632
3
- 50 21.508597135543823
4
- 75 31.13589906692505
5
- 100 40.71837639808655
6
- 125 50.30270767211914
7
- 150 59.88508486747742
8
- 175 69.46932029724121
9
- 200 79.05439686775208
10
- 225 88.63452506065369
11
- 250 98.21865940093994
12
- 275 107.82008647918701
13
- 300 117.43604469299316
14
- 325 127.05682134628296
15
- 350 136.65012001991272
16
- 375 146.2726171016693
17
- 400 155.89325618743896
18
- 425 165.5257248878479
19
- 450 175.15324115753174
20
- 475 184.78486824035645
21
- 500 194.4188551902771
22
- 525 204.0429859161377
23
- 550 213.67855525016785
24
- 575 223.3106496334076
25
- 600 232.94873714447021
26
- 625 242.57592463493347
27
- 650 252.2108941078186
28
- 675 261.84472608566284
29
- 700 271.4778425693512
30
- 725 281.1048638820648
31
- 750 290.7403395175934
32
- 775 300.37098145484924
33
- 800 310.0064947605133
34
- 825 319.6417803764343
35
- 850 329.27929878234863
36
- 875 340.26162934303284
37
- 900 349.8936388492584
38
- 925 359.5291109085083
39
- 950 369.16082882881165
40
- 975 378.79652070999146
41
- 1000 388.42246174812317
42
- 1025 412.21563172340393
43
- 1050 421.8183650970459
44
- 1075 431.45271396636963
45
- 1100 441.0877275466919
46
- 1125 450.74927496910095
47
- 1150 460.4029905796051
48
- 1175 470.05676436424255
49
- 1200 479.70466709136963
50
- 1225 489.3699269294739
51
- 1250 499.0222396850586
52
- 1275 508.6671280860901
53
- 1300 518.3274793624878
54
- 1325 527.982852935791
55
- 1350 537.646324634552
56
- 1375 547.3138611316681
57
- 1400 556.9686326980591
58
- 1425 566.6382021903992
59
- 1450 576.2947261333466
60
- 1475 585.9256319999695
61
- 1500 595.5876700878143
62
- 1525 605.238418340683
63
- 1550 614.8870067596436
64
- 1575 624.5491533279419
65
- 1600 634.2060906887054
66
- 1625 643.8721013069153
67
- 1650 653.5331869125366
68
- 1675 663.180773973465
69
- 1700 672.8291115760803
70
- 1725 683.7616600990295
71
- 1750 693.4073445796967
72
- 1775 703.0649070739746
73
- 1800 712.7225058078766
74
- 1825 722.3766515254974
75
- 1850 732.0318384170532
76
- 1875 741.6805155277252
77
- 1900 751.338860988617
78
- 1925 760.9949688911438
79
- 1950 770.66113448143
80
- 1975 780.3203632831573
81
- 2000 789.9823546409607
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  step time
2
+ 25 15.084935188293457
3
+ 50 27.9258975982666
4
+ 75 40.715243101119995
5
+ 100 53.49675011634827
6
+ 125 66.274178981781
7
+ 150 79.04606795310974
8
+ 175 91.81369137763977
9
+ 200 104.62579536437988
10
+ 225 117.44701910018921
11
+ 250 130.27553534507751
12
+ 275 143.10533165931702
13
+ 300 155.9450192451477
14
+ 325 168.7600085735321
15
+ 350 181.5840711593628
16
+ 375 194.3988938331604
17
+ 400 207.2216305732727
18
+ 425 220.05620431900024
19
+ 450 232.86927151679993
20
+ 475 245.69148516654968
21
+ 500 258.5185205936432
22
+ 525 271.3557963371277
23
+ 550 284.19082403182983
24
+ 575 297.01694321632385
25
+ 600 309.86270117759705
26
+ 625 322.6892671585083
27
+ 650 335.51925230026245
28
+ 675 348.3669571876526
29
+ 700 361.20067501068115
30
+ 725 374.0301306247711
31
+ 750 386.86004662513733
32
+ 775 399.68555903434753
33
+ 800 412.5309019088745
34
+ 825 425.3652400970459
35
+ 850 438.19200587272644
36
+ 875 452.30107045173645
37
+ 900 465.14980602264404
38
+ 925 477.99225091934204
39
+ 950 490.83323764801025
40
+ 975 503.65999460220337
41
+ 1000 516.5088567733765
42
+ 1025 529.3551342487335
43
+ 1050 542.2023694515228
44
+ 1075 555.1306867599487
45
+ 1100 567.949312210083
46
+ 1125 580.7920081615448
47
+ 1150 593.6493818759918
48
+ 1175 606.4965105056763
49
+ 1200 619.3349924087524
50
+ 1225 632.178181886673
51
+ 1250 645.0048613548279
52
+ 1275 657.8502793312073
53
+ 1300 670.6731307506561
54
+ 1325 683.5293264389038
55
+ 1350 696.3712029457092
56
+ 1375 709.2203714847565
57
+ 1400 722.0522689819336
58
+ 1425 734.8939089775085
59
+ 1450 747.7290515899658
60
+ 1475 760.5534512996674
61
+ 1500 773.3883664608002
62
+ 1525 786.2271659374237
63
+ 1550 799.076575756073
64
+ 1575 811.9240255355835
65
+ 1600 824.7590601444244
66
+ 1625 837.5837006568909
67
+ 1650 850.428385257721
68
+ 1675 863.2775738239288
69
+ 1700 876.1059038639069
70
+ 1725 890.2652423381805
71
+ 1750 903.0971763134003
72
+ 1775 915.9335408210754
73
+ 1800 928.7824642658234
74
+ 1825 941.6185953617096
75
+ 1850 954.4537987709045
76
+ 1875 967.2948007583618
77
+ 1900 980.1389164924622
78
+ 1925 992.995025396347
79
+ 1950 1005.8239204883575
80
+ 1975 1018.6723999977112
81
+ 2000 1031.5124232769012
82
+ 2025 1044.355396747589
83
+ 2050 1057.195394039154
84
+ 2075 1070.0412044525146
85
+ 2100 1082.8907186985016
86
+ 2125 1095.7405989170074
87
+ 2150 1108.602712392807
88
+ 2175 1121.4627521038055
89
+ 2200 1134.3075125217438
90
+ 2225 1147.1654663085938
91
+ 2250 1160.0032432079315
92
+ 2275 1172.8628854751587
93
+ 2300 1185.6853506565094
94
+ 2325 1198.506799697876
95
+ 2350 1211.3645195960999
96
+ 2375 1224.201894044876
97
+ 2400 1237.0635952949524
98
+ 2425 1250.0004036426544
99
+ 2450 1262.8510575294495
100
+ 2475 1275.7000811100006
101
+ 2500 1288.5548706054688
102
+ 2525 1301.4070191383362
103
+ 2550 1314.2464246749878
104
+ 2575 1327.0908777713776
105
+ 2600 1341.1612491607666
106
+ 2625 1354.0226397514343
107
+ 2650 1366.8632338047028
108
+ 2675 1379.7066812515259
109
+ 2700 1392.5742948055267
110
+ 2725 1405.4426999092102
111
+ 2750 1418.2779700756073
112
+ 2775 1431.13277053833
113
+ 2800 1443.9799454212189
114
+ 2825 1456.8350942134857
115
+ 2850 1469.682123184204
116
+ 2875 1482.5305516719818
117
+ 2900 1495.3782444000244
118
+ 2925 1508.2243490219116
119
+ 2950 1521.072330713272
120
+ 2975 1533.9211766719818
121
+ 3000 1546.762931585312
122
+ 3025 1559.614073753357
123
+ 3050 1572.4781477451324
124
+ 3075 1585.3224382400513
125
+ 3100 1598.1795709133148
126
+ 3125 1611.0427873134613
127
+ 3150 1623.898669242859
128
+ 3175 1636.7580523490906
129
+ 3200 1649.598307609558
130
+ 3225 1662.4508438110352
131
+ 3250 1675.3007152080536
132
+ 3275 1688.1553287506104
133
+ 3300 1701.0136015415192
134
+ 3325 1713.8668875694275
135
+ 3350 1726.724323272705
136
+ 3375 1739.580962896347
137
+ 3400 1752.4298827648163
138
+ 3425 1765.284123659134
139
+ 3450 1779.3388154506683
140
+ 3475 1792.1778030395508
141
+ 3500 1805.0276982784271
142
+ 3525 1817.8908219337463
143
+ 3550 1830.7454233169556
144
+ 3575 1843.61550283432
145
+ 3600 1856.4941928386688
146
+ 3625 1869.3510420322418
147
+ 3650 1882.2162289619446
148
+ 3675 1895.068233013153
149
+ 3700 1907.9263689517975
150
+ 3725 1920.7766375541687
151
+ 3750 1933.7259356975555
152
+ 3775 1946.5816404819489
153
+ 3800 1959.444384098053
154
+ 3825 1972.297700881958
155
+ 3850 1985.1555876731873
156
+ 3875 1998.0120749473572
157
+ 3900 2010.865986585617
158
+ 3925 2023.7266206741333
159
+ 3950 2036.5854511260986
160
+ 3975 2049.450087785721
161
+ 4000 2062.294335126877
162
+ 4025 2075.1369211673737
163
+ 4050 2087.9957251548767
164
+ 4075 2100.863037586212
165
+ 4100 2113.7083683013916
166
+ 4125 2126.559775829315
167
+ 4150 2139.4239411354065
168
+ 4175 2152.2859601974487
169
+ 4200 2165.142537355423
170
+ 4225 2177.9932949543
171
+ 4250 2190.853779554367
172
+ 4275 2203.7186419963837
173
+ 4300 2216.578208208084
174
+ 4325 2230.712414741516
175
+ 4350 2243.5617938041687
176
+ 4375 2256.4110264778137
177
+ 4400 2269.271735191345
178
+ 4425 2282.134073495865
179
+ 4450 2294.975379705429
180
+ 4475 2307.845240831375
181
+ 4500 2320.7189378738403
182
+ 4525 2333.568421125412
183
+ 4550 2346.4169948101044
184
+ 4575 2359.2660739421844
185
+ 4600 2372.108401298523
186
+ 4625 2384.966372489929
187
+ 4650 2397.8331508636475
188
+ 4675 2410.7063591480255
189
+ 4700 2423.5619995594025
190
+ 4725 2436.4170577526093
191
+ 4750 2449.267770767212
192
+ 4775 2462.1328117847443
193
+ 4800 2474.9866919517517
194
+ 4825 2487.850900888443
195
+ 4850 2500.692889690399
196
+ 4875 2513.5539910793304
197
+ 4900 2526.4228870868683
198
+ 4925 2539.2946326732635
199
+ 4950 2552.157357931137
200
+ 4975 2565.010339975357
201
+ 5000 2577.875691175461
202
+ 5025 2590.726273536682
203
+ 5050 2603.590915441513
204
+ 5075 2616.550036430359
205
+ 5100 2629.402261734009
206
+ 5125 2642.2558653354645
207
+ 5150 2655.113684654236
208
+ 5175 2669.1747331619263
209
+ 5200 2682.0332350730896
210
+ 5225 2694.8999218940735
211
+ 5250 2707.7602293491364
212
+ 5275 2720.6237483024597
213
+ 5300 2733.4888792037964
214
+ 5325 2746.3467013835907
215
+ 5350 2759.204047203064
216
+ 5375 2772.074469566345
217
+ 5400 2784.928303003311
218
+ 5425 2797.7912390232086
219
+ 5450 2810.6417951583862
220
+ 5475 2823.5033853054047
221
+ 5500 2836.3510088920593
222
+ 5525 2849.2085390090942
223
+ 5550 2862.0649638175964
224
+ 5575 2874.940853834152
225
+ 5600 2887.8037803173065
226
+ 5625 2900.6548957824707
227
+ 5650 2913.5180218219757
228
+ 5675 2926.3907191753387
229
+ 5700 2939.252417564392
230
+ 5725 2952.1159315109253
231
+ 5750 2964.9705595970154
232
+ 5775 2977.838541984558
233
+ 5800 2990.7036023139954
234
+ 5825 3003.5593910217285
235
+ 5850 3016.408004760742
236
+ 5875 3029.2813618183136
237
+ 5900 3042.1305975914
238
+ 5925 3054.991508960724
239
+ 5950 3067.8390386104584
240
+ 5975 3080.698233127594
241
+ 6000 3093.553965330124
242
+ 6025 3106.417520046234
243
+ 6050 3120.5411756038666
244
+ 6075 3133.3912892341614
245
+ 6100 3146.254115819931
246
+ 6125 3159.109683275223
247
+ 6150 3171.969566822052
248
+ 6175 3184.8329648971558
249
+ 6200 3197.696213722229
250
+ 6225 3210.545536518097
251
+ 6250 3223.397305250168
252
+ 6275 3236.2650339603424
253
+ 6300 3249.1255638599396
254
+ 6325 3261.9687871932983
255
+ 6350 3274.827236890793
256
+ 6375 3287.6766967773438
257
+ 6400 3300.6404724121094
258
+ 6425 3313.515912294388
259
+ 6450 3326.3794395923615
260
+ 6475 3339.234784603119
261
+ 6500 3352.101920604706
262
+ 6525 3364.9686484336853
263
+ 6550 3377.8311030864716
264
+ 6575 3390.707237958908
265
+ 6600 3403.577928543091
266
+ 6625 3416.4481794834137
267
+ 6650 3429.2860069274902
268
+ 6675 3442.152248620987
269
+ 6700 3455.0130531787872
270
+ 6725 3467.8698225021362
271
+ 6750 3480.7342767715454
272
+ 6775 3493.60906124115
273
+ 6800 3506.4812471866608
274
+ 6825 3519.325484752655
275
+ 6850 3532.197875738144
276
+ 6875 3545.044625043869
277
+ 6900 3559.144058227539
278
+ 6925 3571.9998240470886
279
+ 6950 3584.858067750931
280
+ 6975 3597.7283782958984
281
+ 7000 3610.5941298007965
282
+ 7025 3623.460113763809
283
+ 7050 3636.312675476074
284
+ 7075 3649.1826407909393
285
+ 7100 3662.037049293518
286
+ 7125 3674.892557621002
287
+ 7150 3687.7339119911194
288
+ 7175 3700.590383052826
289
+ 7200 3713.461112499237
290
+ 7225 3726.31111741066
291
+ 7250 3739.1832399368286
292
+ 7275 3752.0370967388153
293
+ 7300 3764.9188323020935
294
+ 7325 3777.773506641388
295
+ 7350 3790.650376558304
296
+ 7375 3803.509121656418
297
+ 7400 3816.368010520935
298
+ 7425 3829.2366507053375
299
+ 7450 3842.1005704402924
300
+ 7475 3854.946126937866
301
+ 7500 3867.808350086212
302
+ 7525 3880.6671788692474
303
+ 7550 3893.5320842266083
304
+ 7575 3906.3910365104675
305
+ 7600 3919.2311170101166
306
+ 7625 3932.079836130142
307
+ 7650 3944.938217163086
308
+ 7675 3957.793847322464
309
+ 7700 3970.6476204395294
310
+ 7725 3983.5091514587402
311
+ 7750 3997.629670381546
312
+ 7775 4010.4737725257874
313
+ 7800 4023.314947605133
314
+ 7825 4036.1750433444977
315
+ 7850 4049.0287396907806
316
+ 7875 4061.8823182582855
317
+ 7900 4074.738490819931
318
+ 7925 4087.60405421257
319
+ 7950 4100.476274728775
320
+ 7975 4113.346715688705
321
+ 8000 4126.202266931534
322
+ 8025 4139.055640220642
323
+ 8050 4151.921578884125
324
+ 8075 4164.777762889862
325
+ 8100 4177.6260051727295
326
+ 8125 4190.4741542339325
327
+ 8150 4203.3353662490845
328
+ 8175 4216.197452068329
329
+ 8200 4229.059322118759
330
+ 8225 4241.925657510757
331
+ 8250 4254.7926568984985
332
+ 8275 4267.65705370903
333
+ 8300 4280.536806821823
334
+ 8325 4293.4095685482025
335
+ 8350 4306.284227848053
336
+ 8375 4319.145178556442
337
+ 8400 4332.0069806575775
338
+ 8425 4344.8674829006195
339
+ 8450 4357.726570367813
340
+ 8475 4370.59289932251
341
+ 8500 4383.454498052597
342
+ 8525 4396.312011480331
343
+ 8550 4409.1711456775665
344
+ 8575 4422.0311686992645
345
+ 8600 4434.90102148056
346
+ 8625 4448.960156202316
347
+ 8650 4461.826530456543
348
+ 8675 4474.691323041916
349
+ 8700 4487.550254106522
350
+ 8725 4500.410094738007
351
+ 8750 4513.2661464214325
352
+ 8775 4526.113677024841
353
+ 8800 4538.963002443314
354
+ 8825 4551.8213431835175
355
+ 8850 4564.676870584488
356
+ 8875 4577.520457983017
357
+ 8900 4590.375862836838
358
+ 8925 4603.22212100029
359
+ 8950 4616.082320690155
360
+ 8975 4628.937936782837
361
+ 9000 4641.771498441696
362
+ 9025 4654.632404327393
363
+ 9050 4667.4996457099915
364
+ 9075 4680.439784526825
365
+ 9100 4693.295104026794
366
+ 9125 4706.153882741928
367
+ 9150 4718.999135255814
368
+ 9175 4731.860117197037
369
+ 9200 4744.714085817337
370
+ 9225 4757.550386667252
371
+ 9250 4770.408738613129
372
+ 9275 4783.270077705383
373
+ 9300 4796.125069618225
374
+ 9325 4808.982332468033
375
+ 9350 4821.84441280365
376
+ 9375 4834.69935798645
377
+ 9400 4847.550026893616
378
+ 9425 4860.4192769527435
379
+ 9450 4873.273006439209
380
+ 9475 4887.295295000076
381
+ 9500 4900.15509724617
382
+ 9525 4913.009240865707
383
+ 9550 4925.870886802673
384
+ 9575 4938.725862264633
385
+ 9600 4951.58264541626
386
+ 9625 4964.453012228012
387
+ 9650 4977.317291259766
388
+ 9675 4990.171158790588
389
+ 9700 5003.026076555252
390
+ 9725 5015.8743398189545
391
+ 9750 5028.735984325409
392
+ 9775 5041.595777273178
393
+ 9800 5054.467676639557
394
+ 9825 5067.332987308502
395
+ 9850 5080.198363542557
396
+ 9875 5093.056813240051
397
+ 9900 5105.905537843704
398
+ 9925 5118.774488687515
399
+ 9950 5131.633554935455
400
+ 9975 5144.48529624939
401
+ 10000 5157.355662584305
generation_config.json CHANGED
@@ -1,38 +1,4 @@
1
  {
2
- "alignment_heads": [
3
- [
4
- 3,
5
- 1
6
- ],
7
- [
8
- 4,
9
- 2
10
- ],
11
- [
12
- 4,
13
- 3
14
- ],
15
- [
16
- 4,
17
- 7
18
- ],
19
- [
20
- 5,
21
- 1
22
- ],
23
- [
24
- 5,
25
- 2
26
- ],
27
- [
28
- 5,
29
- 4
30
- ],
31
- [
32
- 5,
33
- 6
34
- ]
35
- ],
36
  "begin_suppress_tokens": [
37
  220,
38
  50257
@@ -152,11 +118,10 @@
152
  "<|yo|>": 50325,
153
  "<|zh|>": 50260
154
  },
155
- "max_initial_timestamp_index": 50,
156
  "max_length": 448,
157
  "no_timestamps_token_id": 50363,
158
  "pad_token_id": 50257,
159
- "prev_sot_token_id": 50361,
160
  "return_timestamps": false,
161
  "suppress_tokens": [
162
  1,
 
1
  {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  "begin_suppress_tokens": [
3
  220,
4
  50257
 
118
  "<|yo|>": 50325,
119
  "<|zh|>": 50260
120
  },
121
+ "max_initial_timestamp_index": 1,
122
  "max_length": 448,
123
  "no_timestamps_token_id": 50363,
124
  "pad_token_id": 50257,
 
125
  "return_timestamps": false,
126
  "suppress_tokens": [
127
  1,
merges.txt CHANGED
@@ -1,5 +1,4 @@
1
  #version: 0.2
2
- Ġ t
3
  Ġ a
4
  Ġt h
5
  i n
 
1
  #version: 0.2
 
2
  Ġ a
3
  Ġt h
4
  i n
tokenizer.json CHANGED
@@ -64890,7 +64890,6 @@
64890
  "<|endoftext|>": 50257
64891
  },
64892
  "merges": [
64893
- "Ġ t",
64894
  "Ġ a",
64895
  "Ġt h",
64896
  "i n",
 
64890
  "<|endoftext|>": 50257
64891
  },
64892
  "merges": [
 
64893
  "Ġ a",
64894
  "Ġt h",
64895
  "i n",