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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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+ tags:
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+ - image-classification
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+ - vision
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: swin-tiny
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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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+ # swin-tiny
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+
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+ This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the cifar10 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0807
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+ - Accuracy: 0.981
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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: 1e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 256
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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: linear
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+ - num_epochs: 300
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | No log | 1.0 | 333 | 0.2584 | 0.9223 |
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+ | 0.9076 | 2.0 | 666 | 0.1637 | 0.945 |
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+ | 0.9076 | 3.0 | 999 | 0.1344 | 0.9553 |
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+ | 0.4797 | 4.0 | 1332 | 0.1206 | 0.9604 |
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+ | 0.4193 | 5.0 | 1665 | 0.1109 | 0.9635 |
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+ | 0.4193 | 6.0 | 1998 | 0.1056 | 0.9661 |
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+ | 0.3846 | 7.0 | 2331 | 0.0951 | 0.9688 |
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+ | 0.3572 | 8.0 | 2664 | 0.0957 | 0.9689 |
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+ | 0.3572 | 9.0 | 2997 | 0.0909 | 0.9693 |
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+ | 0.3409 | 10.0 | 3330 | 0.0862 | 0.971 |
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+ | 0.3319 | 11.0 | 3663 | 0.0856 | 0.9721 |
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+ | 0.3319 | 12.0 | 3996 | 0.0872 | 0.972 |
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+ | 0.3253 | 13.0 | 4329 | 0.0806 | 0.973 |
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+ | 0.3084 | 14.0 | 4662 | 0.0816 | 0.9738 |
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+ | 0.3084 | 15.0 | 4995 | 0.0789 | 0.9742 |
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+ | 0.3022 | 16.0 | 5328 | 0.0767 | 0.9746 |
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+ | 0.2894 | 17.0 | 5661 | 0.0805 | 0.9725 |
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+ | 0.2894 | 18.0 | 5994 | 0.0760 | 0.9759 |
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+ | 0.2842 | 19.0 | 6327 | 0.0742 | 0.9744 |
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+ | 0.2712 | 20.0 | 6660 | 0.0785 | 0.9738 |
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+ | 0.2712 | 21.0 | 6993 | 0.0790 | 0.9735 |
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+ | 0.2729 | 22.0 | 7326 | 0.0751 | 0.9759 |
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+ | 0.2634 | 23.0 | 7659 | 0.0796 | 0.9737 |
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+ | 0.2634 | 24.0 | 7992 | 0.0756 | 0.9752 |
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+ | 0.2591 | 25.0 | 8325 | 0.0755 | 0.9759 |
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+ | 0.253 | 26.0 | 8658 | 0.0793 | 0.9746 |
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+ | 0.253 | 27.0 | 8991 | 0.0728 | 0.9765 |
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+ | 0.2518 | 28.0 | 9324 | 0.0791 | 0.9748 |
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+ | 0.2482 | 29.0 | 9657 | 0.0792 | 0.9756 |
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+ | 0.2482 | 30.0 | 9990 | 0.0742 | 0.9764 |
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+ | 0.2429 | 31.0 | 10323 | 0.0740 | 0.9757 |
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+ | 0.2405 | 32.0 | 10656 | 0.0743 | 0.9757 |
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+ | 0.2405 | 33.0 | 10989 | 0.0743 | 0.9757 |
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+ | 0.234 | 34.0 | 11322 | 0.0749 | 0.9769 |
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+ | 0.2353 | 35.0 | 11655 | 0.0768 | 0.975 |
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+ | 0.2353 | 36.0 | 11988 | 0.0734 | 0.9771 |
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+ | 0.2329 | 37.0 | 12321 | 0.0778 | 0.9755 |
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+ | 0.2289 | 38.0 | 12654 | 0.0762 | 0.9771 |
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+ | 0.2289 | 39.0 | 12987 | 0.0765 | 0.9761 |
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+ | 0.227 | 40.0 | 13320 | 0.0739 | 0.9768 |
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+ | 0.2213 | 41.0 | 13653 | 0.0747 | 0.9773 |
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+ | 0.2213 | 42.0 | 13986 | 0.0720 | 0.9786 |
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+ | 0.217 | 43.0 | 14319 | 0.0766 | 0.9771 |
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+ | 0.22 | 44.0 | 14652 | 0.0764 | 0.9767 |
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+ | 0.22 | 45.0 | 14985 | 0.0728 | 0.9779 |
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+ | 0.2179 | 46.0 | 15318 | 0.0740 | 0.9785 |
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+ | 0.2074 | 47.0 | 15651 | 0.0712 | 0.9793 |
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+ | 0.2074 | 48.0 | 15984 | 0.0759 | 0.9783 |
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+ | 0.2096 | 49.0 | 16317 | 0.0727 | 0.9791 |
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+ | 0.2054 | 54.0 | 17982 | 0.0755 | 0.9779 |
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+ | 0.2009 | 56.0 | 18648 | 0.0735 | 0.9786 |
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148
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149
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150
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151
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152
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153
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155
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156
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157
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173
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175
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184
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185
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187
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190
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192
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194
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196
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198
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200
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203
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210
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211
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212
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214
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215
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218
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219
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220
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221
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223
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224
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225
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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240
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244
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246
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248
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249
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250
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251
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252
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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266
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268
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
+ | 0.1274 | 244.0 | 81252 | 0.0817 | 0.9806 |
298
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+
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+
356
+ ### Framework versions
357
+
358
+ - Transformers 4.39.3
359
+ - Pytorch 2.2.2+cu118
360
+ - Datasets 2.18.0
361
+ - Tokenizers 0.15.2
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