BertjeWDialDataALLQonly02 – AI Model by Jeska | AlphaNeural AI

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BertjeWDialDataALLQonly02

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BertjeWDialDataALLQonly02

This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9043

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:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.2438	1.0	871	2.1122
2.1235	2.0	1742	2.0784
2.0712	3.0	2613	2.0679
2.0034	4.0	3484	2.0546
1.9375	5.0	4355	2.0277
1.8911	6.0	5226	2.0364
1.8454	7.0	6097	1.9812
1.808	8.0	6968	2.0175
1.7716	9.0	7839	2.0286
1.7519	10.0	8710	1.9653
1.7358	11.0	9581	1.9817
1.7084	12.0	10452	1.9633

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0
Datasets 1.16.1
Tokenizers 0.10.3