generated_from_trainer

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bert_12_layer_model_v1_complete_training_new_wt_init_48_frz

This model is a fine-tuned version of 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
5.7497 0.05 10000 5.6455 0.1803
5.0738 0.11 20000 4.7886 0.2740
4.6823 0.16 30000 4.3914 0.3131
4.3942 0.22 40000 4.0874 0.3480
3.9186 0.27 50000 3.6561 0.3997
3.5977 0.33 60000 3.3709 0.4341
3.3917 0.38 70000 3.1996 0.4550
3.2539 0.44 80000 3.0836 0.4692
3.1642 0.49 90000 2.9976 0.4799
3.0815 0.55 100000 2.9278 0.4888
3.0111 0.6 110000 2.8682 0.4963
2.9572 0.66 120000 2.8223 0.5022
2.916 0.71 130000 2.7781 0.5077
2.8748 0.76 140000 2.7422 0.5121
2.8493 0.82 150000 2.7090 0.5167
2.8057 0.87 160000 2.6750 0.5207
2.7837 0.93 170000 2.6563 0.5236
2.7467 0.98 180000 2.6266 0.5271
2.7348 1.04 190000 2.6050 0.5303
2.7011 1.09 200000 2.5818 0.5330
2.6782 1.15 210000 2.5629 0.5356
2.658 1.2 220000 2.5464 0.5382
2.6375 1.26 230000 2.5260 0.5406
2.6257 1.31 240000 2.5065 0.5431
2.6122 1.37 250000 2.4934 0.5449
2.5836 1.42 260000 2.4741 0.5472
2.5706 1.47 270000 2.4647 0.5486
2.5536 1.53 280000 2.4519 0.5506
2.5403 1.58 290000 2.4376 0.5526
2.538 1.64 300000 2.4244 0.5538
2.5152 1.69 310000 2.4085 0.5558
2.4968 1.75 320000 2.4027 0.5576
2.4894 1.8 330000 2.3890 0.5586
2.4776 1.86 340000 2.3752 0.5606
2.476 1.91 350000 2.3631 0.5622
2.4541 1.97 360000 2.3559 0.5632
2.4474 2.02 370000 2.3448 0.5647
2.4434 2.08 380000 2.3349 0.5660
2.4324 2.13 390000 2.3300 0.5669
2.4264 2.18 400000 2.3182 0.5684
2.4034 2.24 410000 2.3082 0.5699
2.4034 2.29 420000 2.3007 0.5710
2.3946 2.35 430000 2.2905 0.5718
2.3816 2.4 440000 2.2830 0.5732
2.3774 2.46 450000 2.2771 0.5738
2.3651 2.51 460000 2.2686 0.5754

Framework versions