generated_from_trainer

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scenario-kd_weight_copy_before_finetune-data-smsa-model-xlmr_base_trained

This model is a fine-tuned version of xlm-roberta-base on the smsa 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 Accuracy F1
No log 0.29 100 3.3317 0.8 0.7172
No log 0.58 200 1.7226 0.8794 0.8406
No log 0.87 300 1.3735 0.8944 0.8551
No log 1.16 400 1.1817 0.8905 0.8500
2.267 1.45 500 1.0478 0.9071 0.8711
2.267 1.74 600 0.9623 0.9095 0.8725
2.267 2.03 700 1.3815 0.8905 0.8412
2.267 2.33 800 0.8902 0.9119 0.8758
2.267 2.62 900 1.0658 0.9024 0.8600
0.9245 2.91 1000 0.8270 0.9135 0.8767
0.9245 3.2 1100 0.8174 0.9056 0.8632
0.9245 3.49 1200 0.9220 0.9008 0.8604
0.9245 3.78 1300 0.8459 0.9063 0.8685
0.9245 4.07 1400 0.7925 0.9111 0.8748
0.5673 4.36 1500 1.0786 0.9040 0.8712
0.5673 4.65 1600 0.8407 0.9127 0.8860
0.5673 4.94 1700 0.7915 0.9119 0.8714
0.5673 5.23 1800 0.8354 0.9143 0.8751
0.5673 5.52 1900 0.6835 0.9111 0.8729
0.4577 5.81 2000 0.6577 0.9135 0.8837
0.4577 6.1 2100 0.6377 0.9079 0.8684
0.4577 6.4 2200 0.6298 0.9278 0.8953
0.4577 6.69 2300 0.6444 0.9119 0.8650
0.4577 6.98 2400 0.6053 0.9111 0.8738
0.3651 7.27 2500 0.6729 0.9175 0.8868
0.3651 7.56 2600 0.6708 0.9143 0.8809
0.3651 7.85 2700 0.8124 0.9103 0.8744
0.3651 8.14 2800 0.6252 0.9183 0.8759
0.3651 8.43 2900 0.7146 0.9214 0.8890
0.3294 8.72 3000 0.6384 0.9206 0.8836
0.3294 9.01 3100 0.7189 0.9143 0.8771
0.3294 9.3 3200 0.6375 0.9079 0.8672
0.3294 9.59 3300 0.6466 0.9167 0.8800
0.3294 9.88 3400 0.6280 0.9175 0.8806
0.277 10.17 3500 0.5130 0.9190 0.8788
0.277 10.47 3600 0.5772 0.9135 0.8724
0.277 10.76 3700 0.5455 0.9198 0.8832

Framework versions