generated_from_trainer

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combine-20-vsfc-xlm-r

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Weighted F1 Macro
0.9866 0.12 25 0.8014 0.7299 0.7088 0.6862 0.4808
0.7581 0.24 50 0.5130 0.8573 0.8920 0.8717 0.6086
0.5523 0.36 75 0.4340 0.8637 0.9021 0.8812 0.6154
0.4144 0.47 100 0.3586 0.8664 0.9052 0.8841 0.6176
0.4314 0.59 125 0.2651 0.8946 0.9172 0.9009 0.6580
0.3391 0.71 150 0.2658 0.9078 0.9204 0.9116 0.7174
0.3441 0.83 175 0.2518 0.9198 0.9286 0.9190 0.7342
0.3624 0.95 200 0.2484 0.9273 0.9318 0.9173 0.7057
0.2703 1.07 225 0.2388 0.9348 0.9356 0.9261 0.7638
0.2913 1.18 250 0.2496 0.9281 0.9311 0.9209 0.7485
0.3268 1.3 275 0.2504 0.9317 0.9349 0.9279 0.7856
0.2692 1.42 300 0.2163 0.9277 0.9305 0.9239 0.7874
0.2913 1.54 325 0.2264 0.9270 0.9311 0.9256 0.7919
0.2416 1.66 350 0.2304 0.9371 0.9387 0.9333 0.8128
0.2158 1.78 375 0.2419 0.9359 0.9381 0.9338 0.8206
0.2593 1.9 400 0.2269 0.9382 0.9419 0.9370 0.8136
0.2331 2.01 425 0.2534 0.9364 0.9387 0.9341 0.8172
0.2067 2.13 450 0.2199 0.9404 0.9438 0.9407 0.8330
0.2102 2.25 475 0.2429 0.9288 0.9305 0.9270 0.8193
0.1696 2.37 500 0.2271 0.9378 0.9406 0.9382 0.8353
0.2598 2.49 525 0.2175 0.9360 0.9394 0.9370 0.8256
0.243 2.61 550 0.1947 0.9457 0.9482 0.9458 0.8520
0.1944 2.73 575 0.2052 0.9419 0.9450 0.9419 0.8354
0.1839 2.84 600 0.2186 0.9405 0.9425 0.9389 0.8358
0.1829 2.96 625 0.1944 0.9455 0.9476 0.9456 0.8583
0.1705 3.08 650 0.2410 0.9355 0.9387 0.9348 0.8223
0.1258 3.2 675 0.2225 0.9381 0.9400 0.9386 0.8475
0.11 3.32 700 0.2311 0.9410 0.9438 0.9417 0.8431
0.1619 3.44 725 0.2129 0.9411 0.9431 0.9419 0.8470
0.1698 3.55 750 0.2254 0.9388 0.9413 0.9395 0.8419
0.1495 3.67 775 0.2185 0.9408 0.9438 0.9403 0.8337
0.0989 3.79 800 0.2322 0.9414 0.9438 0.9409 0.8449

Framework versions