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himanshue2e
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gemma-2b-g

PEFT
Safetensors
trl
sft
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  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9334
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  ## Model description
24
 
@@ -51,256 +51,256 @@ The following hyperparameters were used during training:
51
 
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  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:------:|:----:|:---------------:|
54
- | No log | 0.016 | 2 | 1.0000 |
55
- | No log | 0.032 | 4 | 0.9990 |
56
- | No log | 0.048 | 6 | 0.9972 |
57
- | No log | 0.064 | 8 | 0.9944 |
58
- | No log | 0.08 | 10 | 0.9920 |
59
- | No log | 0.096 | 12 | 0.9901 |
60
- | No log | 0.112 | 14 | 0.9884 |
61
- | No log | 0.128 | 16 | 0.9866 |
62
- | No log | 0.144 | 18 | 0.9849 |
63
- | No log | 0.16 | 20 | 0.9829 |
64
- | No log | 0.176 | 22 | 0.9808 |
65
- | No log | 0.192 | 24 | 0.9790 |
66
- | No log | 0.208 | 26 | 0.9774 |
67
- | No log | 0.224 | 28 | 0.9760 |
68
- | No log | 0.24 | 30 | 0.9748 |
69
- | No log | 0.256 | 32 | 0.9736 |
70
- | No log | 0.272 | 34 | 0.9726 |
71
- | No log | 0.288 | 36 | 0.9718 |
72
- | No log | 0.304 | 38 | 0.9710 |
73
- | No log | 0.32 | 40 | 0.9703 |
74
- | No log | 0.336 | 42 | 0.9698 |
75
- | No log | 0.352 | 44 | 0.9692 |
76
- | No log | 0.368 | 46 | 0.9686 |
77
- | No log | 0.384 | 48 | 0.9679 |
78
- | No log | 0.4 | 50 | 0.9673 |
79
- | No log | 0.416 | 52 | 0.9667 |
80
- | No log | 0.432 | 54 | 0.9659 |
81
- | No log | 0.448 | 56 | 0.9650 |
82
- | No log | 0.464 | 58 | 0.9643 |
83
- | No log | 0.48 | 60 | 0.9637 |
84
- | No log | 0.496 | 62 | 0.9632 |
85
- | No log | 0.512 | 64 | 0.9629 |
86
- | No log | 0.528 | 66 | 0.9624 |
87
- | No log | 0.544 | 68 | 0.9618 |
88
- | No log | 0.56 | 70 | 0.9612 |
89
- | No log | 0.576 | 72 | 0.9607 |
90
- | No log | 0.592 | 74 | 0.9601 |
91
- | No log | 0.608 | 76 | 0.9596 |
92
- | No log | 0.624 | 78 | 0.9591 |
93
- | No log | 0.64 | 80 | 0.9585 |
94
- | No log | 0.656 | 82 | 0.9580 |
95
- | No log | 0.672 | 84 | 0.9576 |
96
- | No log | 0.688 | 86 | 0.9572 |
97
- | No log | 0.704 | 88 | 0.9568 |
98
- | No log | 0.72 | 90 | 0.9562 |
99
- | No log | 0.736 | 92 | 0.9557 |
100
- | No log | 0.752 | 94 | 0.9553 |
101
- | No log | 0.768 | 96 | 0.9548 |
102
- | No log | 0.784 | 98 | 0.9543 |
103
- | No log | 0.8 | 100 | 0.9537 |
104
- | No log | 0.816 | 102 | 0.9533 |
105
- | No log | 0.832 | 104 | 0.9528 |
106
- | No log | 0.848 | 106 | 0.9524 |
107
- | No log | 0.864 | 108 | 0.9520 |
108
- | No log | 0.88 | 110 | 0.9515 |
109
- | No log | 0.896 | 112 | 0.9510 |
110
- | No log | 0.912 | 114 | 0.9506 |
111
- | No log | 0.928 | 116 | 0.9502 |
112
- | No log | 0.944 | 118 | 0.9499 |
113
- | No log | 0.96 | 120 | 0.9497 |
114
- | No log | 0.976 | 122 | 0.9493 |
115
- | No log | 0.992 | 124 | 0.9490 |
116
- | No log | 1.008 | 126 | 0.9487 |
117
- | No log | 1.024 | 128 | 0.9483 |
118
- | No log | 1.04 | 130 | 0.9478 |
119
- | No log | 1.056 | 132 | 0.9476 |
120
- | No log | 1.072 | 134 | 0.9476 |
121
- | No log | 1.088 | 136 | 0.9476 |
122
- | No log | 1.104 | 138 | 0.9473 |
123
- | No log | 1.12 | 140 | 0.9469 |
124
- | No log | 1.1360 | 142 | 0.9466 |
125
- | No log | 1.152 | 144 | 0.9465 |
126
- | No log | 1.168 | 146 | 0.9464 |
127
- | No log | 1.184 | 148 | 0.9461 |
128
- | No log | 1.2 | 150 | 0.9460 |
129
- | No log | 1.216 | 152 | 0.9460 |
130
- | No log | 1.232 | 154 | 0.9460 |
131
- | No log | 1.248 | 156 | 0.9459 |
132
- | No log | 1.264 | 158 | 0.9456 |
133
- | No log | 1.28 | 160 | 0.9454 |
134
- | No log | 1.296 | 162 | 0.9452 |
135
- | No log | 1.312 | 164 | 0.9451 |
136
- | No log | 1.328 | 166 | 0.9449 |
137
- | No log | 1.3440 | 168 | 0.9447 |
138
- | No log | 1.3600 | 170 | 0.9445 |
139
- | No log | 1.376 | 172 | 0.9441 |
140
- | No log | 1.392 | 174 | 0.9438 |
141
- | No log | 1.408 | 176 | 0.9438 |
142
- | No log | 1.424 | 178 | 0.9437 |
143
- | No log | 1.44 | 180 | 0.9432 |
144
- | No log | 1.456 | 182 | 0.9428 |
145
- | No log | 1.472 | 184 | 0.9426 |
146
- | No log | 1.488 | 186 | 0.9425 |
147
- | No log | 1.504 | 188 | 0.9423 |
148
- | No log | 1.52 | 190 | 0.9418 |
149
- | No log | 1.536 | 192 | 0.9415 |
150
- | No log | 1.552 | 194 | 0.9414 |
151
- | No log | 1.568 | 196 | 0.9413 |
152
- | No log | 1.584 | 198 | 0.9413 |
153
- | No log | 1.6 | 200 | 0.9413 |
154
- | No log | 1.616 | 202 | 0.9414 |
155
- | No log | 1.6320 | 204 | 0.9414 |
156
- | No log | 1.6480 | 206 | 0.9412 |
157
  | No log | 1.6640 | 208 | 0.9410 |
158
- | No log | 1.6800 | 210 | 0.9407 |
159
- | No log | 1.696 | 212 | 0.9404 |
160
- | No log | 1.712 | 214 | 0.9402 |
161
- | No log | 1.728 | 216 | 0.9399 |
162
- | No log | 1.744 | 218 | 0.9398 |
163
- | No log | 1.76 | 220 | 0.9397 |
164
- | No log | 1.776 | 222 | 0.9395 |
165
- | No log | 1.792 | 224 | 0.9394 |
166
- | No log | 1.808 | 226 | 0.9393 |
167
- | No log | 1.8240 | 228 | 0.9394 |
168
  | No log | 1.8400 | 230 | 0.9392 |
169
- | No log | 1.8560 | 232 | 0.9388 |
170
- | No log | 1.8720 | 234 | 0.9384 |
171
- | No log | 1.888 | 236 | 0.9381 |
172
- | No log | 1.904 | 238 | 0.9379 |
173
- | No log | 1.92 | 240 | 0.9378 |
174
- | No log | 1.936 | 242 | 0.9378 |
175
- | No log | 1.952 | 244 | 0.9378 |
176
- | No log | 1.968 | 246 | 0.9377 |
177
- | No log | 1.984 | 248 | 0.9375 |
178
- | No log | 2.0 | 250 | 0.9372 |
179
- | No log | 2.016 | 252 | 0.9370 |
180
- | No log | 2.032 | 254 | 0.9370 |
181
- | No log | 2.048 | 256 | 0.9372 |
182
- | No log | 2.064 | 258 | 0.9375 |
183
- | No log | 2.08 | 260 | 0.9380 |
184
- | No log | 2.096 | 262 | 0.9383 |
185
- | No log | 2.112 | 264 | 0.9383 |
186
- | No log | 2.128 | 266 | 0.9380 |
187
- | No log | 2.144 | 268 | 0.9377 |
188
- | No log | 2.16 | 270 | 0.9374 |
189
- | No log | 2.176 | 272 | 0.9373 |
190
- | No log | 2.192 | 274 | 0.9371 |
191
- | No log | 2.208 | 276 | 0.9368 |
192
- | No log | 2.224 | 278 | 0.9366 |
193
- | No log | 2.24 | 280 | 0.9365 |
194
- | No log | 2.2560 | 282 | 0.9364 |
195
- | No log | 2.2720 | 284 | 0.9363 |
196
- | No log | 2.288 | 286 | 0.9362 |
197
- | No log | 2.304 | 288 | 0.9362 |
198
- | No log | 2.32 | 290 | 0.9362 |
199
- | No log | 2.336 | 292 | 0.9362 |
200
- | No log | 2.352 | 294 | 0.9363 |
201
- | No log | 2.368 | 296 | 0.9363 |
202
- | No log | 2.384 | 298 | 0.9363 |
203
- | No log | 2.4 | 300 | 0.9363 |
204
- | No log | 2.416 | 302 | 0.9364 |
205
- | No log | 2.432 | 304 | 0.9363 |
206
- | No log | 2.448 | 306 | 0.9361 |
207
- | No log | 2.464 | 308 | 0.9359 |
208
- | No log | 2.48 | 310 | 0.9358 |
209
- | No log | 2.496 | 312 | 0.9358 |
210
- | No log | 2.512 | 314 | 0.9359 |
211
- | No log | 2.528 | 316 | 0.9357 |
212
- | No log | 2.544 | 318 | 0.9355 |
213
- | No log | 2.56 | 320 | 0.9354 |
214
- | No log | 2.576 | 322 | 0.9352 |
215
- | No log | 2.592 | 324 | 0.9351 |
216
- | No log | 2.608 | 326 | 0.9350 |
217
- | No log | 2.624 | 328 | 0.9349 |
218
- | No log | 2.64 | 330 | 0.9349 |
219
- | No log | 2.656 | 332 | 0.9348 |
220
- | No log | 2.672 | 334 | 0.9348 |
221
- | No log | 2.6880 | 336 | 0.9349 |
222
- | No log | 2.7040 | 338 | 0.9349 |
223
- | No log | 2.7200 | 340 | 0.9349 |
224
- | No log | 2.7360 | 342 | 0.9349 |
225
- | No log | 2.752 | 344 | 0.9349 |
226
- | No log | 2.768 | 346 | 0.9348 |
227
- | No log | 2.784 | 348 | 0.9347 |
228
- | No log | 2.8 | 350 | 0.9344 |
229
- | No log | 2.816 | 352 | 0.9342 |
230
- | No log | 2.832 | 354 | 0.9340 |
231
- | No log | 2.848 | 356 | 0.9339 |
232
- | No log | 2.864 | 358 | 0.9337 |
233
- | No log | 2.88 | 360 | 0.9337 |
234
- | No log | 2.896 | 362 | 0.9337 |
235
- | No log | 2.912 | 364 | 0.9338 |
236
- | No log | 2.928 | 366 | 0.9338 |
237
- | No log | 2.944 | 368 | 0.9338 |
238
- | No log | 2.96 | 370 | 0.9337 |
239
- | No log | 2.976 | 372 | 0.9337 |
240
- | No log | 2.992 | 374 | 0.9335 |
241
- | No log | 3.008 | 376 | 0.9333 |
242
- | No log | 3.024 | 378 | 0.9333 |
243
- | No log | 3.04 | 380 | 0.9333 |
244
- | No log | 3.056 | 382 | 0.9335 |
245
- | No log | 3.072 | 384 | 0.9338 |
246
- | No log | 3.088 | 386 | 0.9340 |
247
- | No log | 3.104 | 388 | 0.9343 |
248
- | No log | 3.12 | 390 | 0.9344 |
249
- | No log | 3.136 | 392 | 0.9345 |
250
- | No log | 3.152 | 394 | 0.9345 |
251
- | No log | 3.168 | 396 | 0.9346 |
252
- | No log | 3.184 | 398 | 0.9346 |
253
- | No log | 3.2 | 400 | 0.9346 |
254
- | No log | 3.216 | 402 | 0.9345 |
255
- | No log | 3.232 | 404 | 0.9344 |
256
- | No log | 3.248 | 406 | 0.9344 |
257
- | No log | 3.2640 | 408 | 0.9342 |
258
- | No log | 3.2800 | 410 | 0.9341 |
259
- | No log | 3.296 | 412 | 0.9340 |
260
- | No log | 3.312 | 414 | 0.9340 |
261
- | No log | 3.328 | 416 | 0.9340 |
262
- | No log | 3.344 | 418 | 0.9340 |
263
- | No log | 3.36 | 420 | 0.9340 |
264
- | No log | 3.376 | 422 | 0.9340 |
265
- | No log | 3.392 | 424 | 0.9339 |
266
- | No log | 3.408 | 426 | 0.9339 |
267
- | No log | 3.424 | 428 | 0.9337 |
268
- | No log | 3.44 | 430 | 0.9336 |
269
- | No log | 3.456 | 432 | 0.9335 |
270
- | No log | 3.472 | 434 | 0.9336 |
271
- | No log | 3.488 | 436 | 0.9336 |
272
- | No log | 3.504 | 438 | 0.9337 |
273
- | No log | 3.52 | 440 | 0.9337 |
274
- | No log | 3.536 | 442 | 0.9338 |
275
- | No log | 3.552 | 444 | 0.9339 |
276
- | No log | 3.568 | 446 | 0.9339 |
277
- | No log | 3.584 | 448 | 0.9339 |
278
- | No log | 3.6 | 450 | 0.9338 |
279
- | No log | 3.616 | 452 | 0.9338 |
280
- | No log | 3.632 | 454 | 0.9338 |
281
- | No log | 3.648 | 456 | 0.9339 |
282
- | No log | 3.664 | 458 | 0.9339 |
283
- | No log | 3.68 | 460 | 0.9339 |
284
- | No log | 3.6960 | 462 | 0.9338 |
285
- | No log | 3.7120 | 464 | 0.9337 |
286
- | No log | 3.7280 | 466 | 0.9336 |
287
- | No log | 3.7440 | 468 | 0.9335 |
288
- | No log | 3.76 | 470 | 0.9335 |
289
- | No log | 3.776 | 472 | 0.9334 |
290
- | No log | 3.792 | 474 | 0.9334 |
291
- | No log | 3.808 | 476 | 0.9334 |
292
- | No log | 3.824 | 478 | 0.9334 |
293
- | No log | 3.84 | 480 | 0.9335 |
294
- | No log | 3.856 | 482 | 0.9334 |
295
- | No log | 3.872 | 484 | 0.9334 |
296
- | No log | 3.888 | 486 | 0.9334 |
297
- | No log | 3.904 | 488 | 0.9334 |
298
- | No log | 3.92 | 490 | 0.9334 |
299
- | No log | 3.936 | 492 | 0.9334 |
300
- | No log | 3.952 | 494 | 0.9334 |
301
- | No log | 3.968 | 496 | 0.9334 |
302
- | No log | 3.984 | 498 | 0.9334 |
303
- | 0.9163 | 4.0 | 500 | 0.9334 |
304
 
305
 
306
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.9563
22
 
23
  ## Model description
24
 
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:------:|:----:|:---------------:|
54
+ | No log | 0.016 | 2 | 0.9410 |
55
+ | No log | 0.032 | 4 | 0.9443 |
56
+ | No log | 0.048 | 6 | 0.9413 |
57
+ | No log | 0.064 | 8 | 0.9398 |
58
+ | No log | 0.08 | 10 | 0.9401 |
59
+ | No log | 0.096 | 12 | 0.9406 |
60
+ | No log | 0.112 | 14 | 0.9404 |
61
+ | No log | 0.128 | 16 | 0.9409 |
62
+ | No log | 0.144 | 18 | 0.9412 |
63
+ | No log | 0.16 | 20 | 0.9412 |
64
+ | No log | 0.176 | 22 | 0.9411 |
65
+ | No log | 0.192 | 24 | 0.9408 |
66
+ | No log | 0.208 | 26 | 0.9412 |
67
+ | No log | 0.224 | 28 | 0.9411 |
68
+ | No log | 0.24 | 30 | 0.9408 |
69
+ | No log | 0.256 | 32 | 0.9406 |
70
+ | No log | 0.272 | 34 | 0.9404 |
71
+ | No log | 0.288 | 36 | 0.9406 |
72
+ | No log | 0.304 | 38 | 0.9409 |
73
+ | No log | 0.32 | 40 | 0.9414 |
74
+ | No log | 0.336 | 42 | 0.9419 |
75
+ | No log | 0.352 | 44 | 0.9425 |
76
+ | No log | 0.368 | 46 | 0.9425 |
77
+ | No log | 0.384 | 48 | 0.9416 |
78
+ | No log | 0.4 | 50 | 0.9408 |
79
+ | No log | 0.416 | 52 | 0.9403 |
80
+ | No log | 0.432 | 54 | 0.9398 |
81
+ | No log | 0.448 | 56 | 0.9393 |
82
+ | No log | 0.464 | 58 | 0.9385 |
83
+ | No log | 0.48 | 60 | 0.9390 |
84
+ | No log | 0.496 | 62 | 0.9394 |
85
+ | No log | 0.512 | 64 | 0.9392 |
86
+ | No log | 0.528 | 66 | 0.9386 |
87
+ | No log | 0.544 | 68 | 0.9385 |
88
+ | No log | 0.56 | 70 | 0.9380 |
89
+ | No log | 0.576 | 72 | 0.9373 |
90
+ | No log | 0.592 | 74 | 0.9369 |
91
+ | No log | 0.608 | 76 | 0.9367 |
92
+ | No log | 0.624 | 78 | 0.9369 |
93
+ | No log | 0.64 | 80 | 0.9370 |
94
+ | No log | 0.656 | 82 | 0.9371 |
95
+ | No log | 0.672 | 84 | 0.9366 |
96
+ | No log | 0.688 | 86 | 0.9361 |
97
+ | No log | 0.704 | 88 | 0.9361 |
98
+ | No log | 0.72 | 90 | 0.9354 |
99
+ | No log | 0.736 | 92 | 0.9352 |
100
+ | No log | 0.752 | 94 | 0.9354 |
101
+ | No log | 0.768 | 96 | 0.9352 |
102
+ | No log | 0.784 | 98 | 0.9350 |
103
+ | No log | 0.8 | 100 | 0.9349 |
104
+ | No log | 0.816 | 102 | 0.9353 |
105
+ | No log | 0.832 | 104 | 0.9349 |
106
+ | No log | 0.848 | 106 | 0.9346 |
107
+ | No log | 0.864 | 108 | 0.9341 |
108
+ | No log | 0.88 | 110 | 0.9335 |
109
+ | No log | 0.896 | 112 | 0.9327 |
110
+ | No log | 0.912 | 114 | 0.9321 |
111
+ | No log | 0.928 | 116 | 0.9323 |
112
+ | No log | 0.944 | 118 | 0.9327 |
113
+ | No log | 0.96 | 120 | 0.9325 |
114
+ | No log | 0.976 | 122 | 0.9318 |
115
+ | No log | 0.992 | 124 | 0.9316 |
116
+ | No log | 1.008 | 126 | 0.9321 |
117
+ | No log | 1.024 | 128 | 0.9332 |
118
+ | No log | 1.04 | 130 | 0.9351 |
119
+ | No log | 1.056 | 132 | 0.9370 |
120
+ | No log | 1.072 | 134 | 0.9383 |
121
+ | No log | 1.088 | 136 | 0.9390 |
122
+ | No log | 1.104 | 138 | 0.9386 |
123
+ | No log | 1.12 | 140 | 0.9378 |
124
+ | No log | 1.1360 | 142 | 0.9375 |
125
+ | No log | 1.152 | 144 | 0.9380 |
126
+ | No log | 1.168 | 146 | 0.9380 |
127
+ | No log | 1.184 | 148 | 0.9376 |
128
+ | No log | 1.2 | 150 | 0.9381 |
129
+ | No log | 1.216 | 152 | 0.9390 |
130
+ | No log | 1.232 | 154 | 0.9400 |
131
+ | No log | 1.248 | 156 | 0.9410 |
132
+ | No log | 1.264 | 158 | 0.9411 |
133
+ | No log | 1.28 | 160 | 0.9405 |
134
+ | No log | 1.296 | 162 | 0.9402 |
135
+ | No log | 1.312 | 164 | 0.9400 |
136
+ | No log | 1.328 | 166 | 0.9399 |
137
+ | No log | 1.3440 | 168 | 0.9397 |
138
+ | No log | 1.3600 | 170 | 0.9398 |
139
+ | No log | 1.376 | 172 | 0.9403 |
140
+ | No log | 1.392 | 174 | 0.9412 |
141
+ | No log | 1.408 | 176 | 0.9424 |
142
+ | No log | 1.424 | 178 | 0.9432 |
143
+ | No log | 1.44 | 180 | 0.9417 |
144
+ | No log | 1.456 | 182 | 0.9403 |
145
+ | No log | 1.472 | 184 | 0.9397 |
146
+ | No log | 1.488 | 186 | 0.9393 |
147
+ | No log | 1.504 | 188 | 0.9391 |
148
+ | No log | 1.52 | 190 | 0.9385 |
149
+ | No log | 1.536 | 192 | 0.9385 |
150
+ | No log | 1.552 | 194 | 0.9387 |
151
+ | No log | 1.568 | 196 | 0.9393 |
152
+ | No log | 1.584 | 198 | 0.9402 |
153
+ | No log | 1.6 | 200 | 0.9410 |
154
+ | No log | 1.616 | 202 | 0.9410 |
155
+ | No log | 1.6320 | 204 | 0.9417 |
156
+ | No log | 1.6480 | 206 | 0.9414 |
157
  | No log | 1.6640 | 208 | 0.9410 |
158
+ | No log | 1.6800 | 210 | 0.9402 |
159
+ | No log | 1.696 | 212 | 0.9400 |
160
+ | No log | 1.712 | 214 | 0.9398 |
161
+ | No log | 1.728 | 216 | 0.9397 |
162
+ | No log | 1.744 | 218 | 0.9395 |
163
+ | No log | 1.76 | 220 | 0.9398 |
164
+ | No log | 1.776 | 222 | 0.9400 |
165
+ | No log | 1.792 | 224 | 0.9403 |
166
+ | No log | 1.808 | 226 | 0.9403 |
167
+ | No log | 1.8240 | 228 | 0.9399 |
168
  | No log | 1.8400 | 230 | 0.9392 |
169
+ | No log | 1.8560 | 232 | 0.9385 |
170
+ | No log | 1.8720 | 234 | 0.9385 |
171
+ | No log | 1.888 | 236 | 0.9390 |
172
+ | No log | 1.904 | 238 | 0.9394 |
173
+ | No log | 1.92 | 240 | 0.9395 |
174
+ | No log | 1.936 | 242 | 0.9392 |
175
+ | No log | 1.952 | 244 | 0.9391 |
176
+ | No log | 1.968 | 246 | 0.9390 |
177
+ | No log | 1.984 | 248 | 0.9386 |
178
+ | No log | 2.0 | 250 | 0.9380 |
179
+ | No log | 2.016 | 252 | 0.9381 |
180
+ | No log | 2.032 | 254 | 0.9401 |
181
+ | No log | 2.048 | 256 | 0.9431 |
182
+ | No log | 2.064 | 258 | 0.9469 |
183
+ | No log | 2.08 | 260 | 0.9507 |
184
+ | No log | 2.096 | 262 | 0.9529 |
185
+ | No log | 2.112 | 264 | 0.9524 |
186
+ | No log | 2.128 | 266 | 0.9501 |
187
+ | No log | 2.144 | 268 | 0.9478 |
188
+ | No log | 2.16 | 270 | 0.9466 |
189
+ | No log | 2.176 | 272 | 0.9463 |
190
+ | No log | 2.192 | 274 | 0.9458 |
191
+ | No log | 2.208 | 276 | 0.9454 |
192
+ | No log | 2.224 | 278 | 0.9451 |
193
+ | No log | 2.24 | 280 | 0.9456 |
194
+ | No log | 2.2560 | 282 | 0.9468 |
195
+ | No log | 2.2720 | 284 | 0.9477 |
196
+ | No log | 2.288 | 286 | 0.9484 |
197
+ | No log | 2.304 | 288 | 0.9486 |
198
+ | No log | 2.32 | 290 | 0.9479 |
199
+ | No log | 2.336 | 292 | 0.9473 |
200
+ | No log | 2.352 | 294 | 0.9473 |
201
+ | No log | 2.368 | 296 | 0.9473 |
202
+ | No log | 2.384 | 298 | 0.9475 |
203
+ | No log | 2.4 | 300 | 0.9479 |
204
+ | No log | 2.416 | 302 | 0.9490 |
205
+ | No log | 2.432 | 304 | 0.9499 |
206
+ | No log | 2.448 | 306 | 0.9501 |
207
+ | No log | 2.464 | 308 | 0.9498 |
208
+ | No log | 2.48 | 310 | 0.9491 |
209
+ | No log | 2.496 | 312 | 0.9489 |
210
+ | No log | 2.512 | 314 | 0.9490 |
211
+ | No log | 2.528 | 316 | 0.9487 |
212
+ | No log | 2.544 | 318 | 0.9483 |
213
+ | No log | 2.56 | 320 | 0.9483 |
214
+ | No log | 2.576 | 322 | 0.9483 |
215
+ | No log | 2.592 | 324 | 0.9485 |
216
+ | No log | 2.608 | 326 | 0.9487 |
217
+ | No log | 2.624 | 328 | 0.9492 |
218
+ | No log | 2.64 | 330 | 0.9493 |
219
+ | No log | 2.656 | 332 | 0.9488 |
220
+ | No log | 2.672 | 334 | 0.9487 |
221
+ | No log | 2.6880 | 336 | 0.9486 |
222
+ | No log | 2.7040 | 338 | 0.9485 |
223
+ | No log | 2.7200 | 340 | 0.9481 |
224
+ | No log | 2.7360 | 342 | 0.9477 |
225
+ | No log | 2.752 | 344 | 0.9478 |
226
+ | No log | 2.768 | 346 | 0.9482 |
227
+ | No log | 2.784 | 348 | 0.9487 |
228
+ | No log | 2.8 | 350 | 0.9483 |
229
+ | No log | 2.816 | 352 | 0.9481 |
230
+ | No log | 2.832 | 354 | 0.9480 |
231
+ | No log | 2.848 | 356 | 0.9480 |
232
+ | No log | 2.864 | 358 | 0.9479 |
233
+ | No log | 2.88 | 360 | 0.9481 |
234
+ | No log | 2.896 | 362 | 0.9484 |
235
+ | No log | 2.912 | 364 | 0.9488 |
236
+ | No log | 2.928 | 366 | 0.9490 |
237
+ | No log | 2.944 | 368 | 0.9489 |
238
+ | No log | 2.96 | 370 | 0.9487 |
239
+ | No log | 2.976 | 372 | 0.9484 |
240
+ | No log | 2.992 | 374 | 0.9476 |
241
+ | No log | 3.008 | 376 | 0.9468 |
242
+ | No log | 3.024 | 378 | 0.9471 |
243
+ | No log | 3.04 | 380 | 0.9481 |
244
+ | No log | 3.056 | 382 | 0.9499 |
245
+ | No log | 3.072 | 384 | 0.9521 |
246
+ | No log | 3.088 | 386 | 0.9543 |
247
+ | No log | 3.104 | 388 | 0.9562 |
248
+ | No log | 3.12 | 390 | 0.9572 |
249
+ | No log | 3.136 | 392 | 0.9577 |
250
+ | No log | 3.152 | 394 | 0.9577 |
251
+ | No log | 3.168 | 396 | 0.9577 |
252
+ | No log | 3.184 | 398 | 0.9574 |
253
+ | No log | 3.2 | 400 | 0.9570 |
254
+ | No log | 3.216 | 402 | 0.9569 |
255
+ | No log | 3.232 | 404 | 0.9567 |
256
+ | No log | 3.248 | 406 | 0.9565 |
257
+ | No log | 3.2640 | 408 | 0.9564 |
258
+ | No log | 3.2800 | 410 | 0.9562 |
259
+ | No log | 3.296 | 412 | 0.9561 |
260
+ | No log | 3.312 | 414 | 0.9561 |
261
+ | No log | 3.328 | 416 | 0.9562 |
262
+ | No log | 3.344 | 418 | 0.9565 |
263
+ | No log | 3.36 | 420 | 0.9568 |
264
+ | No log | 3.376 | 422 | 0.9570 |
265
+ | No log | 3.392 | 424 | 0.9572 |
266
+ | No log | 3.408 | 426 | 0.9573 |
267
+ | No log | 3.424 | 428 | 0.9572 |
268
+ | No log | 3.44 | 430 | 0.9569 |
269
+ | No log | 3.456 | 432 | 0.9570 |
270
+ | No log | 3.472 | 434 | 0.9572 |
271
+ | No log | 3.488 | 436 | 0.9574 |
272
+ | No log | 3.504 | 438 | 0.9575 |
273
+ | No log | 3.52 | 440 | 0.9577 |
274
+ | No log | 3.536 | 442 | 0.9577 |
275
+ | No log | 3.552 | 444 | 0.9578 |
276
+ | No log | 3.568 | 446 | 0.9579 |
277
+ | No log | 3.584 | 448 | 0.9577 |
278
+ | No log | 3.6 | 450 | 0.9575 |
279
+ | No log | 3.616 | 452 | 0.9575 |
280
+ | No log | 3.632 | 454 | 0.9575 |
281
+ | No log | 3.648 | 456 | 0.9576 |
282
+ | No log | 3.664 | 458 | 0.9576 |
283
+ | No log | 3.68 | 460 | 0.9574 |
284
+ | No log | 3.6960 | 462 | 0.9573 |
285
+ | No log | 3.7120 | 464 | 0.9571 |
286
+ | No log | 3.7280 | 466 | 0.9569 |
287
+ | No log | 3.7440 | 468 | 0.9567 |
288
+ | No log | 3.76 | 470 | 0.9565 |
289
+ | No log | 3.776 | 472 | 0.9563 |
290
+ | No log | 3.792 | 474 | 0.9563 |
291
+ | No log | 3.808 | 476 | 0.9563 |
292
+ | No log | 3.824 | 478 | 0.9564 |
293
+ | No log | 3.84 | 480 | 0.9565 |
294
+ | No log | 3.856 | 482 | 0.9565 |
295
+ | No log | 3.872 | 484 | 0.9566 |
296
+ | No log | 3.888 | 486 | 0.9566 |
297
+ | No log | 3.904 | 488 | 0.9565 |
298
+ | No log | 3.92 | 490 | 0.9565 |
299
+ | No log | 3.936 | 492 | 0.9565 |
300
+ | No log | 3.952 | 494 | 0.9564 |
301
+ | No log | 3.968 | 496 | 0.9564 |
302
+ | No log | 3.984 | 498 | 0.9564 |
303
+ | 0.814 | 4.0 | 500 | 0.9563 |
304
 
305
 
306
  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8a791065305fd8debb5e3ecb699a8cb8c53a1eb7c15ecbfa23daba05de2a87d4
3
  size 2287110224
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30cbcdebe5418669ca957542af3f29fa466206d50a6de330766a38dc03895351
3
  size 2287110224