distilbert-base-uncased-finetuned-Multi_classification

作者 anuj55 · 下载 1 · 点赞 0 · 更新 2023-11-02

generated_from_trainer

distilbert-base-uncased-finetuned-Multi_classification

This model is a fine-tuned version of distilbert-base-uncased on the None 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 Macro Averaged Precision Micro Averaged Precision Macro Averaged Recall Micro Averaged Recall Macro Averaged F1 Micro Averaged F1
0.5811 1.0 635 0.5745 0.7055 0.3527 0.7055 0.5 0.7055 0.4137 0.7055
0.5467 2.0 1270 0.5588 0.7266 0.6830 0.7266 0.5652 0.7266 0.5513 0.7266
0.4724 3.0 1905 0.6347 0.7109 0.6328 0.7109 0.5873 0.7109 0.5906 0.7109
0.2379 4.0 2540 0.9110 0.7078 0.6281 0.7078 0.5874 0.7078 0.5910 0.7078
0.1511 5.0 3175 1.2270 0.6953 0.6168 0.6953 0.5963 0.6953 0.6011 0.6953
0.1074 6.0 3810 1.6106 0.7188 0.6470 0.7188 0.5859 0.7188 0.5875 0.7188
0.0935 7.0 4445 1.8533 0.7070 0.6266 0.7070 0.5861 0.7070 0.5895 0.7070
0.037 8.0 5080 2.0315 0.6875 0.6082 0.6875 0.5923 0.6875 0.5964 0.6875
0.0294 9.0 5715 2.0726 0.7078 0.6295 0.7078 0.5928 0.7078 0.5975 0.7078
0.0238 10.0 6350 2.1236 0.7086 0.6303 0.7086 0.5918 0.7086 0.5963 0.7086

Framework versions