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contemmcm/
d73b0c09c055bafea93ab3ae8ca244b3

Name: d73b0c09c055bafea93ab3ae8ca244b3
Rating: 2.5 (8 reviews)

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d73b0c09c055bafea93ab3ae8ca244b3

This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll02-dutch on the google/boolq dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro	Rouge1	Rougel	Rougelsum
No log	0	0	0.6880	0	5.3389	0.5637	0.4546	0.5640	0.5631	0.5637
No log	1	294	0.7268	0.0078	6.2245	0.3796	0.2813	0.3796	0.3799	0.3794
No log	2	588	0.6897	0.0156	6.8436	0.6127	0.3944	0.6127	0.6124	0.6127
No log	3	882	0.6642	0.0312	8.2682	0.6213	0.3832	0.6213	0.6207	0.6210
0.0281	4	1176	0.6636	0.0625	10.5312	0.6213	0.3832	0.6213	0.6207	0.6210
0.0563	5	1470	0.6633	0.125	13.7283	0.6213	0.3832	0.6213	0.6207	0.6210
0.0965	6	1764	0.6676	0.25	20.3255	0.6213	0.3832	0.6213	0.6207	0.6210
0.6663	7	2058	0.6636	0.5	29.7889	0.6213	0.3832	0.6213	0.6207	0.6210
0.6657	8.0	2352	0.6828	1.0	54.2253	0.6213	0.3832	0.6213	0.6207	0.6210
0.6752	9.0	2646	0.6700	1.0	52.1447	0.6213	0.3832	0.6213	0.6207	0.6210