Aananda-giri commited on
Commit
7b1fb5d
·
verified ·
1 Parent(s): e0f71e7

Upload Rick dialogue fine-tuned model

Browse files
Crypto-adapters/adapter_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen3-4B",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 128,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "megatron_config": null,
23
+ "megatron_core": "megatron.core",
24
+ "modules_to_save": null,
25
+ "peft_type": "LORA",
26
+ "peft_version": "0.18.0",
27
+ "qalora_group_size": 16,
28
+ "r": 64,
29
+ "rank_pattern": {},
30
+ "revision": null,
31
+ "target_modules": [
32
+ "gate_proj",
33
+ "q_proj",
34
+ "down_proj",
35
+ "o_proj",
36
+ "k_proj",
37
+ "up_proj",
38
+ "v_proj"
39
+ ],
40
+ "target_parameters": null,
41
+ "task_type": "CAUSAL_LM",
42
+ "trainable_token_indices": null,
43
+ "use_dora": false,
44
+ "use_qalora": false,
45
+ "use_rslora": false
46
+ }
Crypto-adapters/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb061e60695fc070d253b36257beb9a9218e90d31ecb6c0668b3e3f2db5c2177
3
+ size 528550256
Crypto-adapters/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c545c10c0f16ad53a06e19e15dad68399da0e7947fe7e1da741ad9af8c4c1e8d
3
+ size 6225
Crypto-adapters/training_history.json ADDED
@@ -0,0 +1,1123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "loss": 4.2889,
4
+ "grad_norm": 4.082701683044434,
5
+ "learning_rate": 4.090909090909091e-05,
6
+ "entropy": 1.8044173419475555,
7
+ "num_tokens": 4753.0,
8
+ "mean_token_accuracy": 0.41228369399905207,
9
+ "epoch": 0.018281535648994516,
10
+ "step": 10
11
+ },
12
+ {
13
+ "loss": 1.9004,
14
+ "grad_norm": 1.8841173648834229,
15
+ "learning_rate": 8.636363636363636e-05,
16
+ "entropy": 1.8375275656580925,
17
+ "num_tokens": 9823.0,
18
+ "mean_token_accuracy": 0.6945700973272324,
19
+ "epoch": 0.03656307129798903,
20
+ "step": 20
21
+ },
22
+ {
23
+ "loss": 1.2667,
24
+ "grad_norm": 3.267770528793335,
25
+ "learning_rate": 0.0001318181818181818,
26
+ "entropy": 1.2633977964520455,
27
+ "num_tokens": 14808.0,
28
+ "mean_token_accuracy": 0.791448101401329,
29
+ "epoch": 0.054844606946983544,
30
+ "step": 30
31
+ },
32
+ {
33
+ "loss": 0.9755,
34
+ "grad_norm": 1.05254328250885,
35
+ "learning_rate": 0.00017727272727272728,
36
+ "entropy": 0.9446997016668319,
37
+ "num_tokens": 19622.0,
38
+ "mean_token_accuracy": 0.8207138180732727,
39
+ "epoch": 0.07312614259597806,
40
+ "step": 40
41
+ },
42
+ {
43
+ "loss": 1.1448,
44
+ "grad_norm": 0.906599760055542,
45
+ "learning_rate": 0.00022272727272727272,
46
+ "entropy": 1.015735039114952,
47
+ "num_tokens": 24595.0,
48
+ "mean_token_accuracy": 0.8062975570559502,
49
+ "epoch": 0.09140767824497258,
50
+ "step": 50
51
+ },
52
+ {
53
+ "loss": 1.1366,
54
+ "grad_norm": 1.0311369895935059,
55
+ "learning_rate": 0.0002681818181818182,
56
+ "entropy": 1.041224654763937,
57
+ "num_tokens": 29587.0,
58
+ "mean_token_accuracy": 0.8060152858495713,
59
+ "epoch": 0.10968921389396709,
60
+ "step": 60
61
+ },
62
+ {
63
+ "loss": 0.7749,
64
+ "grad_norm": 1.1635301113128662,
65
+ "learning_rate": 0.00031363636363636365,
66
+ "entropy": 0.7659586444497108,
67
+ "num_tokens": 34200.0,
68
+ "mean_token_accuracy": 0.8529342606663703,
69
+ "epoch": 0.12797074954296161,
70
+ "step": 70
71
+ },
72
+ {
73
+ "loss": 1.0122,
74
+ "grad_norm": 1.0612354278564453,
75
+ "learning_rate": 0.00035909090909090906,
76
+ "entropy": 0.8900700502097607,
77
+ "num_tokens": 38881.0,
78
+ "mean_token_accuracy": 0.8307199895381927,
79
+ "epoch": 0.14625228519195613,
80
+ "step": 80
81
+ },
82
+ {
83
+ "loss": 1.0642,
84
+ "grad_norm": 0.9732877016067505,
85
+ "learning_rate": 0.0004045454545454546,
86
+ "entropy": 0.9888352438807487,
87
+ "num_tokens": 43786.0,
88
+ "mean_token_accuracy": 0.8153566777706146,
89
+ "epoch": 0.16453382084095064,
90
+ "step": 90
91
+ },
92
+ {
93
+ "loss": 1.0782,
94
+ "grad_norm": 1.045189619064331,
95
+ "learning_rate": 0.00045000000000000004,
96
+ "entropy": 1.0296132363379003,
97
+ "num_tokens": 48748.0,
98
+ "mean_token_accuracy": 0.8004682093858719,
99
+ "epoch": 0.18281535648994515,
100
+ "step": 100
101
+ },
102
+ {
103
+ "loss": 1.1802,
104
+ "grad_norm": 1.5044333934783936,
105
+ "learning_rate": 0.0004954545454545455,
106
+ "entropy": 1.0957321308553218,
107
+ "num_tokens": 53965.0,
108
+ "mean_token_accuracy": 0.7918785288929939,
109
+ "epoch": 0.20109689213893966,
110
+ "step": 110
111
+ },
112
+ {
113
+ "loss": 1.0926,
114
+ "grad_norm": 1.3921072483062744,
115
+ "learning_rate": 0.0004998968011877129,
116
+ "entropy": 0.9945384554564953,
117
+ "num_tokens": 58917.0,
118
+ "mean_token_accuracy": 0.8105567440390586,
119
+ "epoch": 0.21937842778793418,
120
+ "step": 120
121
+ },
122
+ {
123
+ "loss": 1.1154,
124
+ "grad_norm": 1.3083264827728271,
125
+ "learning_rate": 0.0004995401739351536,
126
+ "entropy": 1.0778948426246644,
127
+ "num_tokens": 63922.0,
128
+ "mean_token_accuracy": 0.8031231343746186,
129
+ "epoch": 0.2376599634369287,
130
+ "step": 130
131
+ },
132
+ {
133
+ "loss": 1.0033,
134
+ "grad_norm": 2.4141838550567627,
135
+ "learning_rate": 0.0004989292075819091,
136
+ "entropy": 0.9672931365668773,
137
+ "num_tokens": 68697.0,
138
+ "mean_token_accuracy": 0.8235540971159935,
139
+ "epoch": 0.25594149908592323,
140
+ "step": 140
141
+ },
142
+ {
143
+ "loss": 1.1671,
144
+ "grad_norm": 1.0534119606018066,
145
+ "learning_rate": 0.0004980645248438745,
146
+ "entropy": 1.0584807768464088,
147
+ "num_tokens": 73708.0,
148
+ "mean_token_accuracy": 0.7992900639772416,
149
+ "epoch": 0.2742230347349177,
150
+ "step": 150
151
+ },
152
+ {
153
+ "loss": 0.9638,
154
+ "grad_norm": 2.2693159580230713,
155
+ "learning_rate": 0.0004969470070325699,
156
+ "entropy": 0.926125219464302,
157
+ "num_tokens": 78399.0,
158
+ "mean_token_accuracy": 0.8329230979084968,
159
+ "epoch": 0.29250457038391225,
160
+ "step": 160
161
+ },
162
+ {
163
+ "loss": 1.1336,
164
+ "grad_norm": 0.9418737888336182,
165
+ "learning_rate": 0.0004955777931568797,
166
+ "entropy": 1.0604520812630653,
167
+ "num_tokens": 83346.0,
168
+ "mean_token_accuracy": 0.8043849408626557,
169
+ "epoch": 0.31078610603290674,
170
+ "step": 170
171
+ },
172
+ {
173
+ "loss": 1.0936,
174
+ "grad_norm": 1.2109498977661133,
175
+ "learning_rate": 0.0004939582787621393,
176
+ "entropy": 0.9868959777057171,
177
+ "num_tokens": 88297.0,
178
+ "mean_token_accuracy": 0.8075228631496429,
179
+ "epoch": 0.3290676416819013,
180
+ "step": 180
181
+ },
182
+ {
183
+ "loss": 0.9634,
184
+ "grad_norm": 1.1354761123657227,
185
+ "learning_rate": 0.0004920901145077526,
186
+ "entropy": 0.9269359841942787,
187
+ "num_tokens": 93120.0,
188
+ "mean_token_accuracy": 0.8204815790057183,
189
+ "epoch": 0.3473491773308958,
190
+ "step": 190
191
+ },
192
+ {
193
+ "loss": 0.902,
194
+ "grad_norm": 1.1963611841201782,
195
+ "learning_rate": 0.0004899752044847881,
196
+ "entropy": 0.809983392059803,
197
+ "num_tokens": 97836.0,
198
+ "mean_token_accuracy": 0.8354423463344574,
199
+ "epoch": 0.3656307129798903,
200
+ "step": 200
201
+ },
202
+ {
203
+ "loss": 1.0727,
204
+ "grad_norm": 1.2923297882080078,
205
+ "learning_rate": 0.0004876157042752697,
206
+ "entropy": 1.0803617157042027,
207
+ "num_tokens": 102707.0,
208
+ "mean_token_accuracy": 0.804425984621048,
209
+ "epoch": 0.38391224862888484,
210
+ "step": 210
211
+ },
212
+ {
213
+ "loss": 1.0431,
214
+ "grad_norm": 1.0821493864059448,
215
+ "learning_rate": 0.00048501401875514173,
216
+ "entropy": 0.9232283338904381,
217
+ "num_tokens": 107578.0,
218
+ "mean_token_accuracy": 0.8204686373472214,
219
+ "epoch": 0.40219378427787933,
220
+ "step": 220
221
+ },
222
+ {
223
+ "loss": 1.0016,
224
+ "grad_norm": 1.3452186584472656,
225
+ "learning_rate": 0.0004821727996431435,
226
+ "entropy": 0.8946781434118748,
227
+ "num_tokens": 112492.0,
228
+ "mean_token_accuracy": 0.8133098736405373,
229
+ "epoch": 0.42047531992687387,
230
+ "step": 230
231
+ },
232
+ {
233
+ "loss": 0.9545,
234
+ "grad_norm": 1.3005157709121704,
235
+ "learning_rate": 0.00047909494279809557,
236
+ "entropy": 0.9158567085862159,
237
+ "num_tokens": 117326.0,
238
+ "mean_token_accuracy": 0.8263604387640953,
239
+ "epoch": 0.43875685557586835,
240
+ "step": 240
241
+ },
242
+ {
243
+ "loss": 1.0434,
244
+ "grad_norm": 1.3348708152770996,
245
+ "learning_rate": 0.0004757835852673506,
246
+ "entropy": 0.9666553139686584,
247
+ "num_tokens": 122188.0,
248
+ "mean_token_accuracy": 0.8108666554093361,
249
+ "epoch": 0.4570383912248629,
250
+ "step": 250
251
+ },
252
+ {
253
+ "loss": 1.5233,
254
+ "grad_norm": 5.236101150512695,
255
+ "learning_rate": 0.00047224210208941694,
256
+ "entropy": 1.3487498432397842,
257
+ "num_tokens": 127137.0,
258
+ "mean_token_accuracy": 0.7540628828108311,
259
+ "epoch": 0.4753199268738574,
260
+ "step": 260
261
+ },
262
+ {
263
+ "loss": 1.0924,
264
+ "grad_norm": 2.207545280456543,
265
+ "learning_rate": 0.0004684741028540146,
266
+ "entropy": 0.9830687694251538,
267
+ "num_tokens": 132032.0,
268
+ "mean_token_accuracy": 0.809441576898098,
269
+ "epoch": 0.4936014625228519,
270
+ "step": 270
271
+ },
272
+ {
273
+ "loss": 1.9378,
274
+ "grad_norm": 1.80031418800354,
275
+ "learning_rate": 0.0004644834280230692,
276
+ "entropy": 1.6831681944429875,
277
+ "num_tokens": 136810.0,
278
+ "mean_token_accuracy": 0.6984923191368579,
279
+ "epoch": 0.5118829981718465,
280
+ "step": 280
281
+ },
282
+ {
283
+ "loss": 1.0963,
284
+ "grad_norm": 1.824531078338623,
285
+ "learning_rate": 0.00046027414501639396,
286
+ "entropy": 0.9923494562506676,
287
+ "num_tokens": 141832.0,
288
+ "mean_token_accuracy": 0.7938514590263367,
289
+ "epoch": 0.5301645338208409,
290
+ "step": 290
291
+ },
292
+ {
293
+ "loss": 0.9917,
294
+ "grad_norm": 1.9162729978561401,
295
+ "learning_rate": 0.00045585054406604866,
296
+ "entropy": 0.938605896383524,
297
+ "num_tokens": 146777.0,
298
+ "mean_token_accuracy": 0.8107017129659653,
299
+ "epoch": 0.5484460694698354,
300
+ "step": 300
301
+ },
302
+ {
303
+ "loss": 1.4443,
304
+ "grad_norm": 9.322174072265625,
305
+ "learning_rate": 0.0004512171338436021,
306
+ "entropy": 1.295152136683464,
307
+ "num_tokens": 151950.0,
308
+ "mean_token_accuracy": 0.7566543176770211,
309
+ "epoch": 0.56672760511883,
310
+ "step": 310
311
+ },
312
+ {
313
+ "loss": 1.0499,
314
+ "grad_norm": 1.8375171422958374,
315
+ "learning_rate": 0.000446378636864754,
316
+ "entropy": 0.9144886791706085,
317
+ "num_tokens": 156537.0,
318
+ "mean_token_accuracy": 0.8165208205580712,
319
+ "epoch": 0.5850091407678245,
320
+ "step": 320
321
+ },
322
+ {
323
+ "loss": 1.1253,
324
+ "grad_norm": 1.7732634544372559,
325
+ "learning_rate": 0.00044133998467599977,
326
+ "entropy": 1.0305592842400073,
327
+ "num_tokens": 161418.0,
328
+ "mean_token_accuracy": 0.7921615049242974,
329
+ "epoch": 0.603290676416819,
330
+ "step": 330
331
+ },
332
+ {
333
+ "loss": 1.5316,
334
+ "grad_norm": 1.4331961870193481,
335
+ "learning_rate": 0.00043610631282824553,
336
+ "entropy": 1.325055579841137,
337
+ "num_tokens": 166279.0,
338
+ "mean_token_accuracy": 0.7350606312975287,
339
+ "epoch": 0.6215722120658135,
340
+ "step": 340
341
+ },
342
+ {
343
+ "loss": 0.9966,
344
+ "grad_norm": 1.8411200046539307,
345
+ "learning_rate": 0.0004306829556424948,
346
+ "entropy": 0.8855753645300866,
347
+ "num_tokens": 171214.0,
348
+ "mean_token_accuracy": 0.8123403206467629,
349
+ "epoch": 0.6398537477148081,
350
+ "step": 350
351
+ },
352
+ {
353
+ "loss": 1.1294,
354
+ "grad_norm": 1.0451457500457764,
355
+ "learning_rate": 0.00042507544077294274,
356
+ "entropy": 1.0525127850472926,
357
+ "num_tokens": 176265.0,
358
+ "mean_token_accuracy": 0.8036296904087067,
359
+ "epoch": 0.6581352833638026,
360
+ "step": 360
361
+ },
362
+ {
363
+ "loss": 1.0186,
364
+ "grad_norm": 1.330788493156433,
365
+ "learning_rate": 0.00041928948357301935,
366
+ "entropy": 0.9291763827204704,
367
+ "num_tokens": 181157.0,
368
+ "mean_token_accuracy": 0.8202641427516937,
369
+ "epoch": 0.676416819012797,
370
+ "step": 370
371
+ },
372
+ {
373
+ "loss": 0.9623,
374
+ "grad_norm": 1.2461735010147095,
375
+ "learning_rate": 0.00041333098127012326,
376
+ "entropy": 0.8654836975038052,
377
+ "num_tokens": 186130.0,
378
+ "mean_token_accuracy": 0.8226122915744781,
379
+ "epoch": 0.6946983546617916,
380
+ "step": 380
381
+ },
382
+ {
383
+ "loss": 1.277,
384
+ "grad_norm": 1.0772674083709717,
385
+ "learning_rate": 0.00040720600695498484,
386
+ "entropy": 1.1583830490708351,
387
+ "num_tokens": 191459.0,
388
+ "mean_token_accuracy": 0.7833705425262452,
389
+ "epoch": 0.7129798903107861,
390
+ "step": 390
391
+ },
392
+ {
393
+ "loss": 0.7887,
394
+ "grad_norm": 0.8381028771400452,
395
+ "learning_rate": 0.0004009208033917829,
396
+ "entropy": 0.7390592843294144,
397
+ "num_tokens": 196161.0,
398
+ "mean_token_accuracy": 0.8589992865920066,
399
+ "epoch": 0.7312614259597806,
400
+ "step": 400
401
+ },
402
+ {
403
+ "loss": 0.9316,
404
+ "grad_norm": 1.2052291631698608,
405
+ "learning_rate": 0.00039448177665532574,
406
+ "entropy": 0.9087510347366333,
407
+ "num_tokens": 201115.0,
408
+ "mean_token_accuracy": 0.8239080429077148,
409
+ "epoch": 0.7495429616087751,
410
+ "step": 410
411
+ },
412
+ {
413
+ "loss": 0.7695,
414
+ "grad_norm": 1.2508081197738647,
415
+ "learning_rate": 0.00038789548960178037,
416
+ "entropy": 0.7133356228470802,
417
+ "num_tokens": 205917.0,
418
+ "mean_token_accuracy": 0.849728773534298,
419
+ "epoch": 0.7678244972577697,
420
+ "step": 420
421
+ },
422
+ {
423
+ "loss": 0.9197,
424
+ "grad_norm": 1.1393840312957764,
425
+ "learning_rate": 0.0003811686551796058,
426
+ "entropy": 0.877166099101305,
427
+ "num_tokens": 210755.0,
428
+ "mean_token_accuracy": 0.8312482610344887,
429
+ "epoch": 0.7861060329067642,
430
+ "step": 430
431
+ },
432
+ {
433
+ "loss": 0.9159,
434
+ "grad_norm": 0.9043849110603333,
435
+ "learning_rate": 0.0003743081295875069,
436
+ "entropy": 0.8492414981126786,
437
+ "num_tokens": 215637.0,
438
+ "mean_token_accuracy": 0.8339142099022865,
439
+ "epoch": 0.8043875685557587,
440
+ "step": 440
441
+ },
442
+ {
443
+ "loss": 0.8508,
444
+ "grad_norm": 0.9570634961128235,
445
+ "learning_rate": 0.0003673209052863843,
446
+ "entropy": 0.7381240986287594,
447
+ "num_tokens": 220483.0,
448
+ "mean_token_accuracy": 0.842980583012104,
449
+ "epoch": 0.8226691042047533,
450
+ "step": 450
451
+ },
452
+ {
453
+ "loss": 0.9842,
454
+ "grad_norm": 1.2218940258026123,
455
+ "learning_rate": 0.00036021410387240013,
456
+ "entropy": 0.8695680610835552,
457
+ "num_tokens": 225469.0,
458
+ "mean_token_accuracy": 0.8326078191399574,
459
+ "epoch": 0.8409506398537477,
460
+ "step": 460
461
+ },
462
+ {
463
+ "loss": 0.9256,
464
+ "grad_norm": 0.8783425092697144,
465
+ "learning_rate": 0.0003529949688184265,
466
+ "entropy": 0.9371243461966514,
467
+ "num_tokens": 230278.0,
468
+ "mean_token_accuracy": 0.8261681437492371,
469
+ "epoch": 0.8592321755027422,
470
+ "step": 470
471
+ },
472
+ {
473
+ "loss": 0.8089,
474
+ "grad_norm": 0.9584093689918518,
475
+ "learning_rate": 0.0003456708580912725,
476
+ "entropy": 0.7249465331435203,
477
+ "num_tokens": 234976.0,
478
+ "mean_token_accuracy": 0.85187376588583,
479
+ "epoch": 0.8775137111517367,
480
+ "step": 480
481
+ },
482
+ {
483
+ "loss": 0.9988,
484
+ "grad_norm": 1.0121896266937256,
485
+ "learning_rate": 0.0003382492366522158,
486
+ "entropy": 0.8962770074605941,
487
+ "num_tokens": 239994.0,
488
+ "mean_token_accuracy": 0.8272333428263664,
489
+ "epoch": 0.8957952468007313,
490
+ "step": 490
491
+ },
492
+ {
493
+ "loss": 0.8,
494
+ "grad_norm": 1.0218371152877808,
495
+ "learning_rate": 0.00033073766884848235,
496
+ "entropy": 0.7547712914645672,
497
+ "num_tokens": 244672.0,
498
+ "mean_token_accuracy": 0.8585162028670311,
499
+ "epoch": 0.9140767824497258,
500
+ "step": 500
501
+ },
502
+ {
503
+ "loss": 0.7155,
504
+ "grad_norm": 1.0712863206863403,
505
+ "learning_rate": 0.00032314381070342813,
506
+ "entropy": 0.6817032858729363,
507
+ "num_tokens": 249226.0,
508
+ "mean_token_accuracy": 0.8629905194044113,
509
+ "epoch": 0.9323583180987203,
510
+ "step": 510
511
+ },
512
+ {
513
+ "loss": 0.9886,
514
+ "grad_norm": 0.9817427396774292,
515
+ "learning_rate": 0.0003154754021132827,
516
+ "entropy": 0.9045170530676842,
517
+ "num_tokens": 254245.0,
518
+ "mean_token_accuracy": 0.8155439347028732,
519
+ "epoch": 0.9506398537477148,
520
+ "step": 520
521
+ },
522
+ {
523
+ "loss": 0.7596,
524
+ "grad_norm": 0.8646839261054993,
525
+ "learning_rate": 0.0003077402589584061,
526
+ "entropy": 0.7170153304934501,
527
+ "num_tokens": 258959.0,
528
+ "mean_token_accuracy": 0.8573983281850814,
529
+ "epoch": 0.9689213893967094,
530
+ "step": 530
531
+ },
532
+ {
533
+ "loss": 1.0173,
534
+ "grad_norm": 1.1162272691726685,
535
+ "learning_rate": 0.00029994626513710085,
536
+ "entropy": 0.956288554891944,
537
+ "num_tokens": 263941.0,
538
+ "mean_token_accuracy": 0.8194100826978683,
539
+ "epoch": 0.9872029250457038,
540
+ "step": 540
541
+ },
542
+ {
543
+ "eval_loss": 0.8383127450942993,
544
+ "eval_runtime": 149.8997,
545
+ "eval_samples_per_second": 1.628,
546
+ "eval_steps_per_second": 1.628,
547
+ "eval_entropy": 0.7990527804024884,
548
+ "eval_num_tokens": 267313.0,
549
+ "eval_mean_token_accuracy": 0.8396265785225102,
550
+ "epoch": 1.0,
551
+ "step": 547
552
+ },
553
+ {
554
+ "loss": 0.8334,
555
+ "grad_norm": 0.8393658995628357,
556
+ "learning_rate": 0.00029210136453009753,
557
+ "entropy": 0.8176384001970292,
558
+ "num_tokens": 268869.0,
559
+ "mean_token_accuracy": 0.8477066770195961,
560
+ "epoch": 1.0054844606946984,
561
+ "step": 550
562
+ },
563
+ {
564
+ "loss": 0.6929,
565
+ "grad_norm": 1.470503568649292,
566
+ "learning_rate": 0.00028421355290390507,
567
+ "entropy": 0.601496777124703,
568
+ "num_tokens": 273700.0,
569
+ "mean_token_accuracy": 0.8613295748829841,
570
+ "epoch": 1.023765996343693,
571
+ "step": 560
572
+ },
573
+ {
574
+ "loss": 0.583,
575
+ "grad_norm": 0.6013614535331726,
576
+ "learning_rate": 0.0002762908697612765,
577
+ "entropy": 0.5732227236032486,
578
+ "num_tokens": 278597.0,
579
+ "mean_token_accuracy": 0.8821299687027931,
580
+ "epoch": 1.0420475319926874,
581
+ "step": 570
582
+ },
583
+ {
584
+ "loss": 0.7185,
585
+ "grad_norm": 1.5905576944351196,
586
+ "learning_rate": 0.0002683413901470984,
587
+ "entropy": 0.6473550666123629,
588
+ "num_tokens": 283394.0,
589
+ "mean_token_accuracy": 0.8632880464196205,
590
+ "epoch": 1.0603290676416819,
591
+ "step": 580
592
+ },
593
+ {
594
+ "loss": 0.5452,
595
+ "grad_norm": 1.0172004699707031,
596
+ "learning_rate": 0.0002603732164180539,
597
+ "entropy": 0.5780091550201177,
598
+ "num_tokens": 288104.0,
599
+ "mean_token_accuracy": 0.8878793254494667,
600
+ "epoch": 1.0786106032906764,
601
+ "step": 590
602
+ },
603
+ {
604
+ "loss": 0.545,
605
+ "grad_norm": 0.912875235080719,
606
+ "learning_rate": 0.000252394469984449,
607
+ "entropy": 0.47236425392329695,
608
+ "num_tokens": 292815.0,
609
+ "mean_token_accuracy": 0.8934838846325874,
610
+ "epoch": 1.0968921389396709,
611
+ "step": 600
612
+ },
613
+ {
614
+ "loss": 0.6716,
615
+ "grad_norm": 1.3273028135299683,
616
+ "learning_rate": 0.0002444132830326187,
617
+ "entropy": 0.6132044233381748,
618
+ "num_tokens": 297908.0,
619
+ "mean_token_accuracy": 0.8674399435520173,
620
+ "epoch": 1.1151736745886653,
621
+ "step": 610
622
+ },
623
+ {
624
+ "loss": 0.6113,
625
+ "grad_norm": 1.288959264755249,
626
+ "learning_rate": 0.00023643779023634987,
627
+ "entropy": 0.5818431481719017,
628
+ "num_tokens": 302705.0,
629
+ "mean_token_accuracy": 0.8799894049763679,
630
+ "epoch": 1.13345521023766,
631
+ "step": 620
632
+ },
633
+ {
634
+ "loss": 0.61,
635
+ "grad_norm": 0.9242374897003174,
636
+ "learning_rate": 0.0002284761204657696,
637
+ "entropy": 0.5832867488265038,
638
+ "num_tokens": 307457.0,
639
+ "mean_token_accuracy": 0.8836823180317879,
640
+ "epoch": 1.1517367458866545,
641
+ "step": 630
642
+ },
643
+ {
644
+ "loss": 0.5441,
645
+ "grad_norm": 0.7086995840072632,
646
+ "learning_rate": 0.00022053638850214703,
647
+ "entropy": 0.5097997933626175,
648
+ "num_tokens": 312253.0,
649
+ "mean_token_accuracy": 0.894115723669529,
650
+ "epoch": 1.170018281535649,
651
+ "step": 640
652
+ },
653
+ {
654
+ "loss": 0.5176,
655
+ "grad_norm": 1.3160265684127808,
656
+ "learning_rate": 0.00021262668676705695,
657
+ "entropy": 0.466005721129477,
658
+ "num_tokens": 316908.0,
659
+ "mean_token_accuracy": 0.8894715309143066,
660
+ "epoch": 1.1882998171846435,
661
+ "step": 650
662
+ },
663
+ {
664
+ "loss": 0.6213,
665
+ "grad_norm": 0.756281316280365,
666
+ "learning_rate": 0.00020475507707433177,
667
+ "entropy": 0.6145222604274749,
668
+ "num_tokens": 321671.0,
669
+ "mean_token_accuracy": 0.874506875872612,
670
+ "epoch": 1.206581352833638,
671
+ "step": 660
672
+ },
673
+ {
674
+ "loss": 0.6087,
675
+ "grad_norm": 1.3001129627227783,
676
+ "learning_rate": 0.0001969295824132107,
677
+ "entropy": 0.5633690148591995,
678
+ "num_tokens": 326633.0,
679
+ "mean_token_accuracy": 0.884332463145256,
680
+ "epoch": 1.2248628884826325,
681
+ "step": 670
682
+ },
683
+ {
684
+ "loss": 0.7631,
685
+ "grad_norm": 1.119253396987915,
686
+ "learning_rate": 0.00018915817877105927,
687
+ "entropy": 0.6663524687290192,
688
+ "num_tokens": 331740.0,
689
+ "mean_token_accuracy": 0.851144264638424,
690
+ "epoch": 1.2431444241316272,
691
+ "step": 680
692
+ },
693
+ {
694
+ "loss": 0.5761,
695
+ "grad_norm": 0.6832223534584045,
696
+ "learning_rate": 0.00018144878700399546,
697
+ "entropy": 0.5777830693870782,
698
+ "num_tokens": 336945.0,
699
+ "mean_token_accuracy": 0.886911803483963,
700
+ "epoch": 1.2614259597806217,
701
+ "step": 690
702
+ },
703
+ {
704
+ "loss": 0.6277,
705
+ "grad_norm": 0.8378806114196777,
706
+ "learning_rate": 0.000173809264763707,
707
+ "entropy": 0.5720893319696188,
708
+ "num_tokens": 341819.0,
709
+ "mean_token_accuracy": 0.8724584490060806,
710
+ "epoch": 1.2797074954296161,
711
+ "step": 700
712
+ },
713
+ {
714
+ "loss": 0.6422,
715
+ "grad_norm": 1.3611880540847778,
716
+ "learning_rate": 0.00016624739848868853,
717
+ "entropy": 0.5773471333086491,
718
+ "num_tokens": 346672.0,
719
+ "mean_token_accuracy": 0.8712103441357613,
720
+ "epoch": 1.2979890310786106,
721
+ "step": 710
722
+ },
723
+ {
724
+ "loss": 0.5019,
725
+ "grad_norm": 0.6666797399520874,
726
+ "learning_rate": 0.00015877089546806122,
727
+ "entropy": 0.5135227143764496,
728
+ "num_tokens": 351651.0,
729
+ "mean_token_accuracy": 0.8887041434645653,
730
+ "epoch": 1.3162705667276051,
731
+ "step": 720
732
+ },
733
+ {
734
+ "loss": 0.5872,
735
+ "grad_norm": 0.8829151391983032,
736
+ "learning_rate": 0.00015138737598606447,
737
+ "entropy": 0.5499209146946669,
738
+ "num_tokens": 356663.0,
739
+ "mean_token_accuracy": 0.8893190011382103,
740
+ "epoch": 1.3345521023765996,
741
+ "step": 730
742
+ },
743
+ {
744
+ "loss": 0.5956,
745
+ "grad_norm": 1.4903333187103271,
746
+ "learning_rate": 0.0001441043655552252,
747
+ "entropy": 0.5730689261108637,
748
+ "num_tokens": 361623.0,
749
+ "mean_token_accuracy": 0.8744840949773789,
750
+ "epoch": 1.352833638025594,
751
+ "step": 740
752
+ },
753
+ {
754
+ "loss": 0.8425,
755
+ "grad_norm": 1.1822813749313354,
756
+ "learning_rate": 0.00013692928724612203,
757
+ "entropy": 0.7603746997192502,
758
+ "num_tokens": 366800.0,
759
+ "mean_token_accuracy": 0.8339792802929878,
760
+ "epoch": 1.3711151736745886,
761
+ "step": 750
762
+ },
763
+ {
764
+ "loss": 0.5213,
765
+ "grad_norm": 1.104277491569519,
766
+ "learning_rate": 0.00012986945412156038,
767
+ "entropy": 0.5225177899003028,
768
+ "num_tokens": 371627.0,
769
+ "mean_token_accuracy": 0.8935010746121407,
770
+ "epoch": 1.389396709323583,
771
+ "step": 760
772
+ },
773
+ {
774
+ "loss": 0.5954,
775
+ "grad_norm": 0.457518607378006,
776
+ "learning_rate": 0.00012293206178287184,
777
+ "entropy": 0.5619303321465849,
778
+ "num_tokens": 376616.0,
779
+ "mean_token_accuracy": 0.8800176531076431,
780
+ "epoch": 1.4076782449725778,
781
+ "step": 770
782
+ },
783
+ {
784
+ "loss": 0.5962,
785
+ "grad_norm": 1.0970666408538818,
786
+ "learning_rate": 0.00011612418103593401,
787
+ "entropy": 0.5024011623114347,
788
+ "num_tokens": 381540.0,
789
+ "mean_token_accuracy": 0.88609908670187,
790
+ "epoch": 1.4259597806215722,
791
+ "step": 780
792
+ },
793
+ {
794
+ "loss": 0.4754,
795
+ "grad_norm": 0.6814817190170288,
796
+ "learning_rate": 0.0001094527506843849,
797
+ "entropy": 0.4739612426608801,
798
+ "num_tokens": 386304.0,
799
+ "mean_token_accuracy": 0.8971261441707611,
800
+ "epoch": 1.4442413162705667,
801
+ "step": 790
802
+ },
803
+ {
804
+ "loss": 0.5653,
805
+ "grad_norm": 1.4108277559280396,
806
+ "learning_rate": 0.00010292457045737893,
807
+ "entropy": 0.5391225486993789,
808
+ "num_tokens": 391148.0,
809
+ "mean_token_accuracy": 0.884946446120739,
810
+ "epoch": 1.4625228519195612,
811
+ "step": 800
812
+ },
813
+ {
814
+ "loss": 0.5766,
815
+ "grad_norm": 0.701485812664032,
816
+ "learning_rate": 9.654629407909162e-05,
817
+ "entropy": 0.5549372952431441,
818
+ "num_tokens": 396181.0,
819
+ "mean_token_accuracy": 0.8827219530940056,
820
+ "epoch": 1.4808043875685557,
821
+ "step": 810
822
+ },
823
+ {
824
+ "loss": 0.5183,
825
+ "grad_norm": 1.1837406158447266,
826
+ "learning_rate": 9.032442248703665e-05,
827
+ "entropy": 0.521338826790452,
828
+ "num_tokens": 401065.0,
829
+ "mean_token_accuracy": 0.8859279066324234,
830
+ "epoch": 1.4990859232175504,
831
+ "step": 820
832
+ },
833
+ {
834
+ "loss": 0.4086,
835
+ "grad_norm": 0.6805317997932434,
836
+ "learning_rate": 8.426529720610934e-05,
837
+ "entropy": 0.40612360909581185,
838
+ "num_tokens": 405858.0,
839
+ "mean_token_accuracy": 0.9128091052174568,
840
+ "epoch": 1.517367458866545,
841
+ "step": 830
842
+ },
843
+ {
844
+ "loss": 0.5668,
845
+ "grad_norm": 1.0712112188339233,
846
+ "learning_rate": 7.83750938851061e-05,
847
+ "entropy": 0.5340927181765437,
848
+ "num_tokens": 410763.0,
849
+ "mean_token_accuracy": 0.8831513956189155,
850
+ "epoch": 1.5356489945155394,
851
+ "step": 840
852
+ },
853
+ {
854
+ "loss": 0.5611,
855
+ "grad_norm": 1.1453123092651367,
856
+ "learning_rate": 7.265981600231233e-05,
857
+ "entropy": 0.49723163414746524,
858
+ "num_tokens": 415814.0,
859
+ "mean_token_accuracy": 0.8880010843276978,
860
+ "epoch": 1.5539305301645339,
861
+ "step": 850
862
+ },
863
+ {
864
+ "loss": 0.3383,
865
+ "grad_norm": 0.4844640791416168,
866
+ "learning_rate": 6.712528874657012e-05,
867
+ "entropy": 0.3304383518174291,
868
+ "num_tokens": 420421.0,
869
+ "mean_token_accuracy": 0.9282727792859078,
870
+ "epoch": 1.5722120658135283,
871
+ "step": 860
872
+ },
873
+ {
874
+ "loss": 0.4785,
875
+ "grad_norm": 1.027254343032837,
876
+ "learning_rate": 6.177715308006504e-05,
877
+ "entropy": 0.46275698505342006,
878
+ "num_tokens": 425011.0,
879
+ "mean_token_accuracy": 0.9057738676667213,
880
+ "epoch": 1.5904936014625228,
881
+ "step": 870
882
+ },
883
+ {
884
+ "loss": 0.5399,
885
+ "grad_norm": 0.9211871027946472,
886
+ "learning_rate": 5.662085998888214e-05,
887
+ "entropy": 0.5016709078103304,
888
+ "num_tokens": 429980.0,
889
+ "mean_token_accuracy": 0.8931746035814285,
890
+ "epoch": 1.6087751371115173,
891
+ "step": 880
892
+ },
893
+ {
894
+ "loss": 0.623,
895
+ "grad_norm": 0.6902950406074524,
896
+ "learning_rate": 5.1661664927191235e-05,
897
+ "entropy": 0.566886336915195,
898
+ "num_tokens": 435007.0,
899
+ "mean_token_accuracy": 0.8787783816456795,
900
+ "epoch": 1.6270566727605118,
901
+ "step": 890
902
+ },
903
+ {
904
+ "loss": 0.5005,
905
+ "grad_norm": 0.9160484075546265,
906
+ "learning_rate": 4.690462246072516e-05,
907
+ "entropy": 0.47696283366531134,
908
+ "num_tokens": 439747.0,
909
+ "mean_token_accuracy": 0.8926343008875847,
910
+ "epoch": 1.6453382084095063,
911
+ "step": 900
912
+ },
913
+ {
914
+ "loss": 0.6681,
915
+ "grad_norm": 1.0038708448410034,
916
+ "learning_rate": 4.23545811150089e-05,
917
+ "entropy": 0.5537581698969006,
918
+ "num_tokens": 444847.0,
919
+ "mean_token_accuracy": 0.8806583434343338,
920
+ "epoch": 1.6636197440585008,
921
+ "step": 910
922
+ },
923
+ {
924
+ "loss": 0.4931,
925
+ "grad_norm": 0.7535556554794312,
926
+ "learning_rate": 3.8016178433591866e-05,
927
+ "entropy": 0.4691365586593747,
928
+ "num_tokens": 449555.0,
929
+ "mean_token_accuracy": 0.901521198451519,
930
+ "epoch": 1.6819012797074955,
931
+ "step": 920
932
+ },
933
+ {
934
+ "loss": 0.5885,
935
+ "grad_norm": 0.9373224973678589,
936
+ "learning_rate": 3.389383625131942e-05,
937
+ "entropy": 0.5948667161166667,
938
+ "num_tokens": 454448.0,
939
+ "mean_token_accuracy": 0.8759057343006134,
940
+ "epoch": 1.70018281535649,
941
+ "step": 930
942
+ },
943
+ {
944
+ "loss": 0.6568,
945
+ "grad_norm": 1.0174107551574707,
946
+ "learning_rate": 2.9991756187461e-05,
947
+ "entropy": 0.5920586219057441,
948
+ "num_tokens": 459535.0,
949
+ "mean_token_accuracy": 0.8757189273834228,
950
+ "epoch": 1.7184643510054844,
951
+ "step": 940
952
+ },
953
+ {
954
+ "loss": 0.486,
955
+ "grad_norm": 0.9126308560371399,
956
+ "learning_rate": 2.631391536328992e-05,
957
+ "entropy": 0.4687887070700526,
958
+ "num_tokens": 464202.0,
959
+ "mean_token_accuracy": 0.9010345816612244,
960
+ "epoch": 1.736745886654479,
961
+ "step": 950
962
+ },
963
+ {
964
+ "loss": 0.4731,
965
+ "grad_norm": 0.9621142148971558,
966
+ "learning_rate": 2.2864062348476906e-05,
967
+ "entropy": 0.47076144628226757,
968
+ "num_tokens": 469164.0,
969
+ "mean_token_accuracy": 0.899216802418232,
970
+ "epoch": 1.7550274223034736,
971
+ "step": 960
972
+ },
973
+ {
974
+ "loss": 0.5731,
975
+ "grad_norm": 1.0501958131790161,
976
+ "learning_rate": 1.9645713340431997e-05,
977
+ "entropy": 0.5156827673316002,
978
+ "num_tokens": 474032.0,
979
+ "mean_token_accuracy": 0.8930515125393867,
980
+ "epoch": 1.7733089579524681,
981
+ "step": 970
982
+ },
983
+ {
984
+ "loss": 0.5638,
985
+ "grad_norm": 1.393446922302246,
986
+ "learning_rate": 1.6662148580486704e-05,
987
+ "entropy": 0.5192593608051539,
988
+ "num_tokens": 479058.0,
989
+ "mean_token_accuracy": 0.8873833552002907,
990
+ "epoch": 1.7915904936014626,
991
+ "step": 980
992
+ },
993
+ {
994
+ "loss": 0.5387,
995
+ "grad_norm": 1.067104697227478,
996
+ "learning_rate": 1.3916409010569925e-05,
997
+ "entropy": 0.4929318675771356,
998
+ "num_tokens": 483717.0,
999
+ "mean_token_accuracy": 0.8899582773447037,
1000
+ "epoch": 1.809872029250457,
1001
+ "step": 990
1002
+ },
1003
+ {
1004
+ "loss": 0.474,
1005
+ "grad_norm": 0.7692973017692566,
1006
+ "learning_rate": 1.1411293173785726e-05,
1007
+ "entropy": 0.4536196293309331,
1008
+ "num_tokens": 488517.0,
1009
+ "mean_token_accuracy": 0.9024506390094758,
1010
+ "epoch": 1.8281535648994516,
1011
+ "step": 1000
1012
+ },
1013
+ {
1014
+ "loss": 0.5862,
1015
+ "grad_norm": 0.9886012077331543,
1016
+ "learning_rate": 9.149354362050804e-06,
1017
+ "entropy": 0.5348154939711094,
1018
+ "num_tokens": 493643.0,
1019
+ "mean_token_accuracy": 0.887369342148304,
1020
+ "epoch": 1.846435100548446,
1021
+ "step": 1010
1022
+ },
1023
+ {
1024
+ "loss": 0.4364,
1025
+ "grad_norm": 0.6033039689064026,
1026
+ "learning_rate": 7.13289801370054e-06,
1027
+ "entropy": 0.4438053784891963,
1028
+ "num_tokens": 498402.0,
1029
+ "mean_token_accuracy": 0.9055494770407677,
1030
+ "epoch": 1.8647166361974405,
1031
+ "step": 1020
1032
+ },
1033
+ {
1034
+ "loss": 0.4822,
1035
+ "grad_norm": 1.0783859491348267,
1036
+ "learning_rate": 5.363979363714244e-06,
1037
+ "entropy": 0.44634236562997104,
1038
+ "num_tokens": 503273.0,
1039
+ "mean_token_accuracy": 0.9009472608566285,
1040
+ "epoch": 1.882998171846435,
1041
+ "step": 1030
1042
+ },
1043
+ {
1044
+ "loss": 0.464,
1045
+ "grad_norm": 1.3200268745422363,
1046
+ "learning_rate": 3.844401348955834e-06,
1047
+ "entropy": 0.44374721236526965,
1048
+ "num_tokens": 508179.0,
1049
+ "mean_token_accuracy": 0.9102602645754814,
1050
+ "epoch": 1.9012797074954295,
1051
+ "step": 1040
1052
+ },
1053
+ {
1054
+ "loss": 0.5956,
1055
+ "grad_norm": 0.8053908348083496,
1056
+ "learning_rate": 2.575712770564592e-06,
1057
+ "entropy": 0.567001193203032,
1058
+ "num_tokens": 513289.0,
1059
+ "mean_token_accuracy": 0.8815849825739861,
1060
+ "epoch": 1.919561243144424,
1061
+ "step": 1050
1062
+ },
1063
+ {
1064
+ "loss": 0.6047,
1065
+ "grad_norm": 1.3640791177749634,
1066
+ "learning_rate": 1.559206715368966e-06,
1067
+ "entropy": 0.609914462082088,
1068
+ "num_tokens": 518359.0,
1069
+ "mean_token_accuracy": 0.8840003907680511,
1070
+ "epoch": 1.9378427787934185,
1071
+ "step": 1060
1072
+ },
1073
+ {
1074
+ "loss": 0.4451,
1075
+ "grad_norm": 1.2007508277893066,
1076
+ "learning_rate": 7.959192379322078e-07,
1077
+ "entropy": 0.43388587329536676,
1078
+ "num_tokens": 523015.0,
1079
+ "mean_token_accuracy": 0.9105660766363144,
1080
+ "epoch": 1.9561243144424132,
1081
+ "step": 1070
1082
+ },
1083
+ {
1084
+ "loss": 0.4733,
1085
+ "grad_norm": 0.7846450209617615,
1086
+ "learning_rate": 2.8662830457340526e-07,
1087
+ "entropy": 0.46208970360457896,
1088
+ "num_tokens": 527800.0,
1089
+ "mean_token_accuracy": 0.9034222677350044,
1090
+ "epoch": 1.9744058500914077,
1091
+ "step": 1080
1092
+ },
1093
+ {
1094
+ "loss": 0.5183,
1095
+ "grad_norm": 0.9528534412384033,
1096
+ "learning_rate": 3.1853000439951984e-08,
1097
+ "entropy": 0.47328052408993243,
1098
+ "num_tokens": 532702.0,
1099
+ "mean_token_accuracy": 0.8960653573274613,
1100
+ "epoch": 1.9926873857404022,
1101
+ "step": 1090
1102
+ },
1103
+ {
1104
+ "eval_loss": 0.7137235999107361,
1105
+ "eval_runtime": 149.8883,
1106
+ "eval_samples_per_second": 1.628,
1107
+ "eval_steps_per_second": 1.628,
1108
+ "eval_entropy": 0.5778556458163456,
1109
+ "eval_num_tokens": 534626.0,
1110
+ "eval_mean_token_accuracy": 0.8677698337152356,
1111
+ "epoch": 2.0,
1112
+ "step": 1094
1113
+ },
1114
+ {
1115
+ "train_runtime": 6289.0757,
1116
+ "train_samples_per_second": 0.696,
1117
+ "train_steps_per_second": 0.174,
1118
+ "total_flos": 1.2079230284163072e+16,
1119
+ "train_loss": 0.8425550589395834,
1120
+ "epoch": 2.0,
1121
+ "step": 1094
1122
+ }
1123
+ ]
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
  base_model: Qwen/Qwen3-4B
3
  library_name: peft
4
- model_name: Thera-qwen-finetuned
5
  tags:
6
  - base_model:adapter:Qwen/Qwen3-4B
7
  - lora
@@ -12,7 +12,7 @@ licence: license
12
  pipeline_tag: text-generation
13
  ---
14
 
15
- # Model Card for Thera-qwen-finetuned
16
 
17
  This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B).
18
  It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -38,8 +38,8 @@ This model was trained with SFT.
38
  ### Framework versions
39
 
40
  - PEFT 0.18.0
41
- - TRL: 0.26.0
42
- - Transformers: 4.57.3
43
  - Pytorch: 2.9.0+cu126
44
  - Datasets: 4.0.0
45
  - Tokenizers: 0.22.1
 
1
  ---
2
  base_model: Qwen/Qwen3-4B
3
  library_name: peft
4
+ model_name: CryptoStatuette-qwen-finetuned
5
  tags:
6
  - base_model:adapter:Qwen/Qwen3-4B
7
  - lora
 
12
  pipeline_tag: text-generation
13
  ---
14
 
15
+ # Model Card for CryptoStatuette-qwen-finetuned
16
 
17
  This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B).
18
  It has been trained using [TRL](https://github.com/huggingface/trl).
 
38
  ### Framework versions
39
 
40
  - PEFT 0.18.0
41
+ - TRL: 0.25.1
42
+ - Transformers: 4.57.2
43
  - Pytorch: 2.9.0+cu126
44
  - Datasets: 4.0.0
45
  - Tokenizers: 0.22.1