ASAP_FineTuningBERT_AugV14_k5_task1_organization_k5_k5_fold0

genki10/ASAP_FineTuningBERT_AugV14_k5_task1_organization_k5_k5_fold0

ASAP_FineTuningBERT_AugV14_k5_task1_organization_k5_k5_fold0 is a text classification model from genki10. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Feb 20, 2025
Updated: Feb 20, 2025
SHA: 832f0545

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Base models

Model card

From the Hugging Face model README

ASAP_FineTuningBERT_AugV14_k5_task1_organization_k5_k5_fold0

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

Loss: 0.8273
Qwk: 0.4218
Mse: 0.8273
Rmse: 0.9096

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	8	5.9637	0.0120	5.9637	2.4421
No log	2.0	16	2.6255	0.0	2.6255	1.6203
No log	3.0	24	1.1015	0.0316	1.1015	1.0495
No log	4.0	32	0.7837	0.3621	0.7837	0.8853
No log	5.0	40	0.7147	0.4536	0.7147	0.8454
No log	6.0	48	0.6219	0.4390	0.6219	0.7886
No log	7.0	56	0.7127	0.4067	0.7127	0.8442
No log	8.0	64	0.7120	0.5027	0.7120	0.8438
No log	9.0	72	0.6521	0.4848	0.6521	0.8075
No log	10.0	80	0.8328	0.4095	0.8328	0.9126
No log	11.0	88	0.7633	0.4233	0.7633	0.8736
No log	12.0	96	0.8018	0.3887	0.8018	0.8954
No log	13.0	104	0.8270	0.4328	0.8270	0.9094
No log	14.0	112	0.7459	0.4733	0.7459	0.8637
No log	15.0	120	0.7150	0.4591	0.7150	0.8456
No log	16.0	128	0.6959	0.4701	0.6959	0.8342
No log	17.0	136	0.7889	0.4315	0.7889	0.8882
No log	18.0	144	0.8963	0.3777	0.8963	0.9467
No log	19.0	152	0.6896	0.4649	0.6896	0.8304
No log	20.0	160	0.7278	0.4641	0.7278	0.8531
No log	21.0	168	0.6946	0.4912	0.6946	0.8334
No log	22.0	176	0.6924	0.4943	0.6924	0.8321
No log	23.0	184	0.9489	0.3718	0.9489	0.9741
No log	24.0	192	0.8311	0.3935	0.8311	0.9116
No log	25.0	200	0.7381	0.4456	0.7381	0.8591
No log	26.0	208	0.7380	0.4496	0.7380	0.8591
No log	27.0	216	0.7915	0.4369	0.7915	0.8897
No log	28.0	224	0.8273	0.4218	0.8273	0.9096

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Feb 20, 2025
Updated: Feb 20, 2025