BertjeWDialDataALLQonly07 – AI Model by Jeska | AlphaNeural AI

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BertjeWDialDataALLQonly07

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BertjeWDialDataALLQonly07

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: 2.1135

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: 0.0001
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: 18.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.3589	1.0	871	2.2805
2.2563	2.0	1742	2.2501
2.1936	3.0	2613	2.2419
2.11	4.0	3484	2.2301
2.0311	5.0	4355	2.2320
1.969	6.0	5226	2.2276
1.9148	7.0	6097	2.1621
1.8569	8.0	6968	2.1876
1.7978	9.0	7839	2.2011
1.7602	10.0	8710	2.1280
1.7166	11.0	9581	2.1644
1.6651	12.0	10452	2.1246
1.6141	13.0	11323	2.1264
1.5759	14.0	12194	2.1143
1.5478	15.0	13065	2.0982
1.5311	16.0	13936	2.0993
1.5187	17.0	14807	2.0979
1.4809	18.0	15678	2.0338

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0
Datasets 1.16.1
Tokenizers 0.10.3