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README.md ADDED
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+ ---
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+ base_model: bigscience/bloom-560m
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+ library_name: peft
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+ license: bigscience-bloom-rail-1.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Bloom-Medical-QA-LoRA
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Bloom-Medical-QA-LoRA
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+
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+ This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9628
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | No log | 0.0084 | 10 | 2.7413 |
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+ | No log | 0.0168 | 20 | 2.5065 |
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+ | No log | 0.0253 | 30 | 2.3701 |
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+ | No log | 0.0337 | 40 | 2.3103 |
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+ | No log | 0.0421 | 50 | 2.2831 |
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+ | No log | 0.0505 | 60 | 2.2652 |
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+ | No log | 0.0589 | 70 | 2.2498 |
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+ | No log | 0.0673 | 80 | 2.2374 |
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+ | No log | 0.0758 | 90 | 2.2281 |
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+ | 2.3686 | 0.0842 | 100 | 2.2183 |
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+ | 2.3686 | 0.0926 | 110 | 2.2133 |
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+ | 2.3686 | 0.1010 | 120 | 2.2091 |
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+ | 2.3686 | 0.1094 | 130 | 2.2030 |
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+ | 2.3686 | 0.1178 | 140 | 2.1965 |
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+ | 2.3686 | 0.1263 | 150 | 2.1939 |
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+ | 2.3686 | 0.1347 | 160 | 2.1885 |
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+ | 2.3686 | 0.1431 | 170 | 2.1814 |
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+ | 2.3686 | 0.1515 | 180 | 2.1808 |
68
+ | 2.3686 | 0.1599 | 190 | 2.1746 |
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+ | 2.1271 | 0.1684 | 200 | 2.1743 |
70
+ | 2.1271 | 0.1768 | 210 | 2.1719 |
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+ | 2.1271 | 0.1852 | 220 | 2.1679 |
72
+ | 2.1271 | 0.1936 | 230 | 2.1720 |
73
+ | 2.1271 | 0.2020 | 240 | 2.1648 |
74
+ | 2.1271 | 0.2104 | 250 | 2.1624 |
75
+ | 2.1271 | 0.2189 | 260 | 2.1563 |
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+ | 2.1271 | 0.2273 | 270 | 2.1489 |
77
+ | 2.1271 | 0.2357 | 280 | 2.1451 |
78
+ | 2.1271 | 0.2441 | 290 | 2.1420 |
79
+ | 2.0973 | 0.2525 | 300 | 2.1438 |
80
+ | 2.0973 | 0.2609 | 310 | 2.1409 |
81
+ | 2.0973 | 0.2694 | 320 | 2.1397 |
82
+ | 2.0973 | 0.2778 | 330 | 2.1371 |
83
+ | 2.0973 | 0.2862 | 340 | 2.1320 |
84
+ | 2.0973 | 0.2946 | 350 | 2.1353 |
85
+ | 2.0973 | 0.3030 | 360 | 2.1321 |
86
+ | 2.0973 | 0.3114 | 370 | 2.1279 |
87
+ | 2.0973 | 0.3199 | 380 | 2.1283 |
88
+ | 2.0973 | 0.3283 | 390 | 2.1244 |
89
+ | 2.1201 | 0.3367 | 400 | 2.1242 |
90
+ | 2.1201 | 0.3451 | 410 | 2.1205 |
91
+ | 2.1201 | 0.3535 | 420 | 2.1179 |
92
+ | 2.1201 | 0.3620 | 430 | 2.1162 |
93
+ | 2.1201 | 0.3704 | 440 | 2.1129 |
94
+ | 2.1201 | 0.3788 | 450 | 2.1123 |
95
+ | 2.1201 | 0.3872 | 460 | 2.1120 |
96
+ | 2.1201 | 0.3956 | 470 | 2.1114 |
97
+ | 2.1201 | 0.4040 | 480 | 2.1121 |
98
+ | 2.1201 | 0.4125 | 490 | 2.1089 |
99
+ | 2.0368 | 0.4209 | 500 | 2.1085 |
100
+ | 2.0368 | 0.4293 | 510 | 2.1065 |
101
+ | 2.0368 | 0.4377 | 520 | 2.1041 |
102
+ | 2.0368 | 0.4461 | 530 | 2.1016 |
103
+ | 2.0368 | 0.4545 | 540 | 2.1042 |
104
+ | 2.0368 | 0.4630 | 550 | 2.0996 |
105
+ | 2.0368 | 0.4714 | 560 | 2.1002 |
106
+ | 2.0368 | 0.4798 | 570 | 2.0997 |
107
+ | 2.0368 | 0.4882 | 580 | 2.0959 |
108
+ | 2.0368 | 0.4966 | 590 | 2.0952 |
109
+ | 2.0816 | 0.5051 | 600 | 2.0964 |
110
+ | 2.0816 | 0.5135 | 610 | 2.0969 |
111
+ | 2.0816 | 0.5219 | 620 | 2.0963 |
112
+ | 2.0816 | 0.5303 | 630 | 2.0928 |
113
+ | 2.0816 | 0.5387 | 640 | 2.0892 |
114
+ | 2.0816 | 0.5471 | 650 | 2.0889 |
115
+ | 2.0816 | 0.5556 | 660 | 2.0860 |
116
+ | 2.0816 | 0.5640 | 670 | 2.0873 |
117
+ | 2.0816 | 0.5724 | 680 | 2.0827 |
118
+ | 2.0816 | 0.5808 | 690 | 2.0814 |
119
+ | 2.0766 | 0.5892 | 700 | 2.0824 |
120
+ | 2.0766 | 0.5976 | 710 | 2.0810 |
121
+ | 2.0766 | 0.6061 | 720 | 2.0802 |
122
+ | 2.0766 | 0.6145 | 730 | 2.0800 |
123
+ | 2.0766 | 0.6229 | 740 | 2.0790 |
124
+ | 2.0766 | 0.6313 | 750 | 2.0811 |
125
+ | 2.0766 | 0.6397 | 760 | 2.0810 |
126
+ | 2.0766 | 0.6481 | 770 | 2.0778 |
127
+ | 2.0766 | 0.6566 | 780 | 2.0770 |
128
+ | 2.0766 | 0.6650 | 790 | 2.0753 |
129
+ | 2.0604 | 0.6734 | 800 | 2.0752 |
130
+ | 2.0604 | 0.6818 | 810 | 2.0719 |
131
+ | 2.0604 | 0.6902 | 820 | 2.0759 |
132
+ | 2.0604 | 0.6987 | 830 | 2.0743 |
133
+ | 2.0604 | 0.7071 | 840 | 2.0682 |
134
+ | 2.0604 | 0.7155 | 850 | 2.0686 |
135
+ | 2.0604 | 0.7239 | 860 | 2.0661 |
136
+ | 2.0604 | 0.7323 | 870 | 2.0669 |
137
+ | 2.0604 | 0.7407 | 880 | 2.0670 |
138
+ | 2.0604 | 0.7492 | 890 | 2.0694 |
139
+ | 2.0319 | 0.7576 | 900 | 2.0645 |
140
+ | 2.0319 | 0.7660 | 910 | 2.0633 |
141
+ | 2.0319 | 0.7744 | 920 | 2.0592 |
142
+ | 2.0319 | 0.7828 | 930 | 2.0618 |
143
+ | 2.0319 | 0.7912 | 940 | 2.0613 |
144
+ | 2.0319 | 0.7997 | 950 | 2.0620 |
145
+ | 2.0319 | 0.8081 | 960 | 2.0589 |
146
+ | 2.0319 | 0.8165 | 970 | 2.0599 |
147
+ | 2.0319 | 0.8249 | 980 | 2.0576 |
148
+ | 2.0319 | 0.8333 | 990 | 2.0564 |
149
+ | 2.0554 | 0.8418 | 1000 | 2.0555 |
150
+ | 2.0554 | 0.8502 | 1010 | 2.0574 |
151
+ | 2.0554 | 0.8586 | 1020 | 2.0555 |
152
+ | 2.0554 | 0.8670 | 1030 | 2.0531 |
153
+ | 2.0554 | 0.8754 | 1040 | 2.0546 |
154
+ | 2.0554 | 0.8838 | 1050 | 2.0533 |
155
+ | 2.0554 | 0.8923 | 1060 | 2.0526 |
156
+ | 2.0554 | 0.9007 | 1070 | 2.0515 |
157
+ | 2.0554 | 0.9091 | 1080 | 2.0492 |
158
+ | 2.0554 | 0.9175 | 1090 | 2.0490 |
159
+ | 2.0078 | 0.9259 | 1100 | 2.0514 |
160
+ | 2.0078 | 0.9343 | 1110 | 2.0493 |
161
+ | 2.0078 | 0.9428 | 1120 | 2.0454 |
162
+ | 2.0078 | 0.9512 | 1130 | 2.0472 |
163
+ | 2.0078 | 0.9596 | 1140 | 2.0481 |
164
+ | 2.0078 | 0.9680 | 1150 | 2.0448 |
165
+ | 2.0078 | 0.9764 | 1160 | 2.0423 |
166
+ | 2.0078 | 0.9848 | 1170 | 2.0424 |
167
+ | 2.0078 | 0.9933 | 1180 | 2.0413 |
168
+ | 2.0078 | 1.0017 | 1190 | 2.0376 |
169
+ | 2.0269 | 1.0101 | 1200 | 2.0380 |
170
+ | 2.0269 | 1.0185 | 1210 | 2.0383 |
171
+ | 2.0269 | 1.0269 | 1220 | 2.0385 |
172
+ | 2.0269 | 1.0354 | 1230 | 2.0381 |
173
+ | 2.0269 | 1.0438 | 1240 | 2.0416 |
174
+ | 2.0269 | 1.0522 | 1250 | 2.0406 |
175
+ | 2.0269 | 1.0606 | 1260 | 2.0399 |
176
+ | 2.0269 | 1.0690 | 1270 | 2.0407 |
177
+ | 2.0269 | 1.0774 | 1280 | 2.0414 |
178
+ | 2.0269 | 1.0859 | 1290 | 2.0404 |
179
+ | 1.9814 | 1.0943 | 1300 | 2.0383 |
180
+ | 1.9814 | 1.1027 | 1310 | 2.0376 |
181
+ | 1.9814 | 1.1111 | 1320 | 2.0361 |
182
+ | 1.9814 | 1.1195 | 1330 | 2.0326 |
183
+ | 1.9814 | 1.1279 | 1340 | 2.0351 |
184
+ | 1.9814 | 1.1364 | 1350 | 2.0322 |
185
+ | 1.9814 | 1.1448 | 1360 | 2.0285 |
186
+ | 1.9814 | 1.1532 | 1370 | 2.0276 |
187
+ | 1.9814 | 1.1616 | 1380 | 2.0278 |
188
+ | 1.9814 | 1.1700 | 1390 | 2.0309 |
189
+ | 1.9846 | 1.1785 | 1400 | 2.0319 |
190
+ | 1.9846 | 1.1869 | 1410 | 2.0311 |
191
+ | 1.9846 | 1.1953 | 1420 | 2.0321 |
192
+ | 1.9846 | 1.2037 | 1430 | 2.0322 |
193
+ | 1.9846 | 1.2121 | 1440 | 2.0368 |
194
+ | 1.9846 | 1.2205 | 1450 | 2.0330 |
195
+ | 1.9846 | 1.2290 | 1460 | 2.0270 |
196
+ | 1.9846 | 1.2374 | 1470 | 2.0256 |
197
+ | 1.9846 | 1.2458 | 1480 | 2.0243 |
198
+ | 1.9846 | 1.2542 | 1490 | 2.0239 |
199
+ | 1.9862 | 1.2626 | 1500 | 2.0211 |
200
+ | 1.9862 | 1.2710 | 1510 | 2.0203 |
201
+ | 1.9862 | 1.2795 | 1520 | 2.0216 |
202
+ | 1.9862 | 1.2879 | 1530 | 2.0205 |
203
+ | 1.9862 | 1.2963 | 1540 | 2.0214 |
204
+ | 1.9862 | 1.3047 | 1550 | 2.0214 |
205
+ | 1.9862 | 1.3131 | 1560 | 2.0171 |
206
+ | 1.9862 | 1.3215 | 1570 | 2.0198 |
207
+ | 1.9862 | 1.3300 | 1580 | 2.0220 |
208
+ | 1.9862 | 1.3384 | 1590 | 2.0202 |
209
+ | 1.9507 | 1.3468 | 1600 | 2.0211 |
210
+ | 1.9507 | 1.3552 | 1610 | 2.0191 |
211
+ | 1.9507 | 1.3636 | 1620 | 2.0187 |
212
+ | 1.9507 | 1.3721 | 1630 | 2.0187 |
213
+ | 1.9507 | 1.3805 | 1640 | 2.0165 |
214
+ | 1.9507 | 1.3889 | 1650 | 2.0185 |
215
+ | 1.9507 | 1.3973 | 1660 | 2.0192 |
216
+ | 1.9507 | 1.4057 | 1670 | 2.0160 |
217
+ | 1.9507 | 1.4141 | 1680 | 2.0153 |
218
+ | 1.9507 | 1.4226 | 1690 | 2.0163 |
219
+ | 1.9746 | 1.4310 | 1700 | 2.0180 |
220
+ | 1.9746 | 1.4394 | 1710 | 2.0172 |
221
+ | 1.9746 | 1.4478 | 1720 | 2.0176 |
222
+ | 1.9746 | 1.4562 | 1730 | 2.0176 |
223
+ | 1.9746 | 1.4646 | 1740 | 2.0181 |
224
+ | 1.9746 | 1.4731 | 1750 | 2.0217 |
225
+ | 1.9746 | 1.4815 | 1760 | 2.0169 |
226
+ | 1.9746 | 1.4899 | 1770 | 2.0165 |
227
+ | 1.9746 | 1.4983 | 1780 | 2.0155 |
228
+ | 1.9746 | 1.5067 | 1790 | 2.0160 |
229
+ | 1.9464 | 1.5152 | 1800 | 2.0110 |
230
+ | 1.9464 | 1.5236 | 1810 | 2.0142 |
231
+ | 1.9464 | 1.5320 | 1820 | 2.0143 |
232
+ | 1.9464 | 1.5404 | 1830 | 2.0145 |
233
+ | 1.9464 | 1.5488 | 1840 | 2.0121 |
234
+ | 1.9464 | 1.5572 | 1850 | 2.0115 |
235
+ | 1.9464 | 1.5657 | 1860 | 2.0114 |
236
+ | 1.9464 | 1.5741 | 1870 | 2.0107 |
237
+ | 1.9464 | 1.5825 | 1880 | 2.0143 |
238
+ | 1.9464 | 1.5909 | 1890 | 2.0151 |
239
+ | 1.9539 | 1.5993 | 1900 | 2.0120 |
240
+ | 1.9539 | 1.6077 | 1910 | 2.0087 |
241
+ | 1.9539 | 1.6162 | 1920 | 2.0083 |
242
+ | 1.9539 | 1.6246 | 1930 | 2.0092 |
243
+ | 1.9539 | 1.6330 | 1940 | 2.0126 |
244
+ | 1.9539 | 1.6414 | 1950 | 2.0111 |
245
+ | 1.9539 | 1.6498 | 1960 | 2.0081 |
246
+ | 1.9539 | 1.6582 | 1970 | 2.0076 |
247
+ | 1.9539 | 1.6667 | 1980 | 2.0076 |
248
+ | 1.9539 | 1.6751 | 1990 | 2.0081 |
249
+ | 1.9227 | 1.6835 | 2000 | 2.0064 |
250
+ | 1.9227 | 1.6919 | 2010 | 2.0079 |
251
+ | 1.9227 | 1.7003 | 2020 | 2.0054 |
252
+ | 1.9227 | 1.7088 | 2030 | 2.0047 |
253
+ | 1.9227 | 1.7172 | 2040 | 2.0066 |
254
+ | 1.9227 | 1.7256 | 2050 | 2.0059 |
255
+ | 1.9227 | 1.7340 | 2060 | 2.0048 |
256
+ | 1.9227 | 1.7424 | 2070 | 2.0054 |
257
+ | 1.9227 | 1.7508 | 2080 | 2.0052 |
258
+ | 1.9227 | 1.7593 | 2090 | 2.0062 |
259
+ | 1.9588 | 1.7677 | 2100 | 2.0074 |
260
+ | 1.9588 | 1.7761 | 2110 | 2.0065 |
261
+ | 1.9588 | 1.7845 | 2120 | 2.0022 |
262
+ | 1.9588 | 1.7929 | 2130 | 2.0014 |
263
+ | 1.9588 | 1.8013 | 2140 | 1.9998 |
264
+ | 1.9588 | 1.8098 | 2150 | 2.0009 |
265
+ | 1.9588 | 1.8182 | 2160 | 2.0026 |
266
+ | 1.9588 | 1.8266 | 2170 | 2.0038 |
267
+ | 1.9588 | 1.8350 | 2180 | 2.0019 |
268
+ | 1.9588 | 1.8434 | 2190 | 2.0002 |
269
+ | 1.9351 | 1.8519 | 2200 | 2.0010 |
270
+ | 1.9351 | 1.8603 | 2210 | 2.0016 |
271
+ | 1.9351 | 1.8687 | 2220 | 2.0031 |
272
+ | 1.9351 | 1.8771 | 2230 | 1.9999 |
273
+ | 1.9351 | 1.8855 | 2240 | 1.9981 |
274
+ | 1.9351 | 1.8939 | 2250 | 1.9963 |
275
+ | 1.9351 | 1.9024 | 2260 | 1.9965 |
276
+ | 1.9351 | 1.9108 | 2270 | 1.9990 |
277
+ | 1.9351 | 1.9192 | 2280 | 1.9989 |
278
+ | 1.9351 | 1.9276 | 2290 | 1.9954 |
279
+ | 1.9219 | 1.9360 | 2300 | 1.9965 |
280
+ | 1.9219 | 1.9444 | 2310 | 1.9982 |
281
+ | 1.9219 | 1.9529 | 2320 | 1.9991 |
282
+ | 1.9219 | 1.9613 | 2330 | 1.9970 |
283
+ | 1.9219 | 1.9697 | 2340 | 1.9957 |
284
+ | 1.9219 | 1.9781 | 2350 | 1.9954 |
285
+ | 1.9219 | 1.9865 | 2360 | 1.9947 |
286
+ | 1.9219 | 1.9949 | 2370 | 1.9948 |
287
+ | 1.9219 | 2.0034 | 2380 | 1.9933 |
288
+ | 1.9219 | 2.0118 | 2390 | 1.9943 |
289
+ | 1.9129 | 2.0202 | 2400 | 1.9956 |
290
+ | 1.9129 | 2.0286 | 2410 | 1.9949 |
291
+ | 1.9129 | 2.0370 | 2420 | 1.9961 |
292
+ | 1.9129 | 2.0455 | 2430 | 1.9950 |
293
+ | 1.9129 | 2.0539 | 2440 | 1.9956 |
294
+ | 1.9129 | 2.0623 | 2450 | 1.9950 |
295
+ | 1.9129 | 2.0707 | 2460 | 1.9941 |
296
+ | 1.9129 | 2.0791 | 2470 | 1.9946 |
297
+ | 1.9129 | 2.0875 | 2480 | 1.9928 |
298
+ | 1.9129 | 2.0960 | 2490 | 1.9951 |
299
+ | 1.8814 | 2.1044 | 2500 | 1.9968 |
300
+ | 1.8814 | 2.1128 | 2510 | 1.9928 |
301
+ | 1.8814 | 2.1212 | 2520 | 1.9948 |
302
+ | 1.8814 | 2.1296 | 2530 | 1.9925 |
303
+ | 1.8814 | 2.1380 | 2540 | 1.9923 |
304
+ | 1.8814 | 2.1465 | 2550 | 1.9924 |
305
+ | 1.8814 | 2.1549 | 2560 | 1.9915 |
306
+ | 1.8814 | 2.1633 | 2570 | 1.9918 |
307
+ | 1.8814 | 2.1717 | 2580 | 1.9913 |
308
+ | 1.8814 | 2.1801 | 2590 | 1.9900 |
309
+ | 1.914 | 2.1886 | 2600 | 1.9894 |
310
+ | 1.914 | 2.1970 | 2610 | 1.9902 |
311
+ | 1.914 | 2.2054 | 2620 | 1.9896 |
312
+ | 1.914 | 2.2138 | 2630 | 1.9896 |
313
+ | 1.914 | 2.2222 | 2640 | 1.9889 |
314
+ | 1.914 | 2.2306 | 2650 | 1.9887 |
315
+ | 1.914 | 2.2391 | 2660 | 1.9884 |
316
+ | 1.914 | 2.2475 | 2670 | 1.9877 |
317
+ | 1.914 | 2.2559 | 2680 | 1.9882 |
318
+ | 1.914 | 2.2643 | 2690 | 1.9887 |
319
+ | 1.8883 | 2.2727 | 2700 | 1.9896 |
320
+ | 1.8883 | 2.2811 | 2710 | 1.9909 |
321
+ | 1.8883 | 2.2896 | 2720 | 1.9905 |
322
+ | 1.8883 | 2.2980 | 2730 | 1.9902 |
323
+ | 1.8883 | 2.3064 | 2740 | 1.9886 |
324
+ | 1.8883 | 2.3148 | 2750 | 1.9888 |
325
+ | 1.8883 | 2.3232 | 2760 | 1.9889 |
326
+ | 1.8883 | 2.3316 | 2770 | 1.9905 |
327
+ | 1.8883 | 2.3401 | 2780 | 1.9899 |
328
+ | 1.8883 | 2.3485 | 2790 | 1.9896 |
329
+ | 1.8748 | 2.3569 | 2800 | 1.9878 |
330
+ | 1.8748 | 2.3653 | 2810 | 1.9873 |
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333
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628
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629
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630
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631
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632
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635
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+ | 1.7728 | 5.0 | 5940 | 1.9628 |
644
+
645
+
646
+ ### Framework versions
647
+
648
+ - PEFT 0.11.1
649
+ - Transformers 4.42.4
650
+ - Pytorch 1.13.1+cu117
651
+ - Datasets 2.19.2
652
+ - Tokenizers 0.19.1
runs/Jul21_15-15-13_cmle-training-5210726061956851082/events.out.tfevents.1721574916.cmle-training-5210726061956851082 CHANGED
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