ASAP_FineTuningBERT_AugV15_k10_task1_organization_k10_k10_fold0

genki10/ASAP_FineTuningBERT_AugV15_k10_task1_organization_k10_k10_fold0

ASAP_FineTuningBERT_AugV15_k10_task1_organization_k10_k10_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: Mar 4, 2025
Updated: Mar 4, 2025
SHA: 0314c5b6

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Base models

Model card

From the Hugging Face model README

ASAP_FineTuningBERT_AugV15_k10_task1_organization_k10_k10_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: 1.6032
Qwk: 0.3991
Mse: 1.6032
Rmse: 1.2662

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	5.9137	0.0086	5.9137	2.4318
No log	2.0	16	2.6975	0.0	2.6975	1.6424
No log	3.0	24	1.8091	0.0106	1.8091	1.3450
No log	4.0	32	1.3974	0.0316	1.3974	1.1821
No log	5.0	40	1.5620	0.0316	1.5620	1.2498
No log	6.0	48	1.6739	0.0419	1.6739	1.2938
No log	7.0	56	1.4243	0.0419	1.4243	1.1934
No log	8.0	64	1.2710	0.0316	1.2710	1.1274
No log	9.0	72	1.2301	0.0484	1.2301	1.1091
No log	10.0	80	1.2176	0.0316	1.2176	1.1034
No log	11.0	88	0.8348	0.2017	0.8348	0.9137
No log	12.0	96	0.8420	0.2983	0.8420	0.9176
No log	13.0	104	0.7615	0.3327	0.7615	0.8727
No log	14.0	112	0.7344	0.4663	0.7344	0.8569
No log	15.0	120	0.6422	0.4531	0.6422	0.8014
No log	16.0	128	0.6256	0.5355	0.6256	0.7910
No log	17.0	136	0.5531	0.4143	0.5531	0.7437
No log	18.0	144	0.5440	0.4263	0.5440	0.7376
No log	19.0	152	0.5010	0.4929	0.5010	0.7078
No log	20.0	160	0.6984	0.4006	0.6984	0.8357
No log	21.0	168	0.6230	0.4809	0.6230	0.7893
No log	22.0	176	0.5525	0.5723	0.5525	0.7433
No log	23.0	184	0.4977	0.6207	0.4977	0.7055
No log	24.0	192	0.6994	0.5622	0.6994	0.8363
No log	25.0	200	0.6111	0.5856	0.6111	0.7818
No log	26.0	208	0.9049	0.4775	0.9049	0.9513
No log	27.0	216	0.7209	0.5430	0.7209	0.8491
No log	28.0	224	0.7888	0.5069	0.7888	0.8881
No log	29.0	232	0.5490	0.6124	0.5490	0.7409
No log	30.0	240	1.1698	0.4083	1.1698	1.0816
No log	31.0	248	0.6421	0.5395	0.6421	0.8013
No log	32.0	256	0.7839	0.5051	0.7839	0.8854
No log	33.0	264	0.6795	0.5595	0.6795	0.8243
No log	34.0	272	0.6038	0.5940	0.6038	0.7771
No log	35.0	280	0.8149	0.5223	0.8149	0.9027
No log	36.0	288	0.5267	0.6033	0.5267	0.7257
No log	37.0	296	0.9057	0.4612	0.9057	0.9517
No log	38.0	304	0.6616	0.6082	0.6616	0.8134
No log	39.0	312	0.5944	0.6188	0.5944	0.7710
No log	40.0	320	1.1525	0.4865	1.1525	1.0736
No log	41.0	328	0.9555	0.5305	0.9555	0.9775
No log	42.0	336	0.8529	0.5190	0.8529	0.9235
No log	43.0	344	1.6032	0.3991	1.6032	1.2662

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 4, 2025
Updated: Mar 4, 2025