BertjeWDialDataALLQonly03 – AI Model by Jeska | AlphaNeural AI

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BertjeWDialDataALLQonly03

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BertjeWDialDataALLQonly03

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: 1.9995

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: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 24.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	435	2.0751
2.1982	2.0	870	2.0465
2.0841	3.0	1305	2.0420
2.0374	4.0	1740	2.0325
1.9731	5.0	2175	2.0075
1.9248	6.0	2610	2.0219
1.8848	7.0	3045	1.9770
1.8848	8.0	3480	2.0093
1.8419	9.0	3915	2.0298
1.804	10.0	4350	1.9681
1.7817	11.0	4785	1.9938
1.7472	12.0	5220	1.9654
1.7075	13.0	5655	1.9797
1.6976	14.0	6090	1.9691
1.6748	15.0	6525	1.9568
1.6748	16.0	6960	1.9618
1.6528	17.0	7395	1.9843
1.6335	18.0	7830	1.9265
1.6179	19.0	8265	1.9598
1.5992	20.0	8700	1.9331
1.583	21.0	9135	1.9795
1.5699	22.0	9570	2.0073
1.5703	23.0	10005	1.9308
1.5703	24.0	10440	1.9285

Framework versions

Transformers 4.13.0.dev0
Pytorch 1.10.0
Datasets 1.16.1
Tokenizers 0.10.3