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contemmcm/
11de6f8e803653f8816fcd27edebb221

Name: 11de6f8e803653f8816fcd27edebb221
Rating: 2.5 (8 reviews)

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11de6f8e803653f8816fcd27edebb221

This model is a fine-tuned version of google-bert/bert-large-uncased-whole-word-masking-finetuned-squad on the contemmcm/cls_20newsgroups 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
No log	0	0	3.1249	0	4.6390	0.0423	0.0041
No log	1	499	3.0526	0.0078	5.3256	0.0590	0.0114
0.0308	2	998	3.0353	0.0156	6.0687	0.0423	0.0041
0.0549	3	1497	3.0356	0.0312	7.7245	0.0423	0.0041
0.103	4	1996	3.0274	0.0625	10.6392	0.0491	0.0047
3.0244	5	2495	3.0212	0.125	14.2042	0.0544	0.0052
3.0273	6	2994	3.0079	0.25	22.2859	0.0532	0.0050
3.0256	7	3493	3.0139	0.5	38.6885	0.0532	0.0050
3.0203	8.0	3992	3.0027	1.0	71.7315	0.0496	0.0047
3.0199	9.0	4491	3.0133	1.0	70.6367	0.0491	0.0047
3.0089	10.0	4990	3.0495	1.0	70.9631	0.0554	0.0053
3.0082	11.0	5489	3.0875	1.0	70.2922	0.0554	0.0053
3.0001	12.0	5988	3.0606	1.0	70.6902	0.0554	0.0053