ASAP_FineTuningBERT_AugV10_k10_task1_organization_k10_k10_fold3

genki10/ASAP_FineTuningBERT_AugV10_k10_task1_organization_k10_k10_fold3

ASAP_FineTuningBERT_AugV10_k10_task1_organization_k10_k10_fold3 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 13, 2025
Updated: Feb 13, 2025
SHA: caa36a53

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Base models

Model card

From the Hugging Face model README

ASAP_FineTuningBERT_AugV10_k10_task1_organization_k10_k10_fold3

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: 0.8624
Qwk: 0.3939
Mse: 0.8622
Rmse: 0.9285

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	6.1085	0.0342	6.1075	2.4713
No log	2.0	16	2.3643	0.1350	2.3634	1.5373
No log	3.0	24	1.1443	0.0	1.1441	1.0696
No log	4.0	32	1.0978	0.2303	1.0986	1.0481
No log	5.0	40	0.8807	0.2198	0.8814	0.9388
No log	6.0	48	0.8589	0.2252	0.8595	0.9271
No log	7.0	56	1.0344	0.2453	1.0342	1.0170
No log	8.0	64	2.2595	0.0845	2.2588	1.5029
No log	9.0	72	1.3826	0.2038	1.3825	1.1758
No log	10.0	80	1.0935	0.2681	1.0933	1.0456
No log	11.0	88	0.8817	0.3795	0.8814	0.9388
No log	12.0	96	1.3660	0.2660	1.3657	1.1686
No log	13.0	104	1.0838	0.3146	1.0835	1.0409
No log	14.0	112	0.7940	0.3926	0.7938	0.8910
No log	15.0	120	0.8521	0.3764	0.8519	0.9230
No log	16.0	128	0.9635	0.3064	0.9633	0.9815
No log	17.0	136	0.7949	0.4092	0.7950	0.8916
No log	18.0	144	1.3262	0.2650	1.3260	1.1515
No log	19.0	152	0.9346	0.3227	0.9344	0.9667
No log	20.0	160	0.9479	0.3554	0.9480	0.9736
No log	21.0	168	0.8214	0.3907	0.8214	0.9063
No log	22.0	176	0.8388	0.4000	0.8387	0.9158
No log	23.0	184	0.7985	0.4408	0.7984	0.8935
No log	24.0	192	0.9013	0.4011	0.9014	0.9494
No log	25.0	200	1.0293	0.3063	1.0291	1.0144
No log	26.0	208	0.9966	0.3223	0.9963	0.9981
No log	27.0	216	1.0424	0.3061	1.0421	1.0208
No log	28.0	224	1.2239	0.2760	1.2235	1.1061
No log	29.0	232	0.7748	0.4054	0.7747	0.8802
No log	30.0	240	1.0563	0.3243	1.0562	1.0277
No log	31.0	248	1.0948	0.2754	1.0944	1.0461
No log	32.0	256	1.2711	0.1948	1.2706	1.1272
No log	33.0	264	1.1816	0.2608	1.1813	1.0869
No log	34.0	272	0.9459	0.3446	0.9457	0.9725
No log	35.0	280	1.1848	0.2610	1.1844	1.0883
No log	36.0	288	0.9461	0.3282	0.9458	0.9725
No log	37.0	296	0.9105	0.3777	0.9103	0.9541
No log	38.0	304	0.8897	0.4097	0.8896	0.9432
No log	39.0	312	0.8501	0.4090	0.8499	0.9219
No log	40.0	320	0.8668	0.3795	0.8666	0.9309
No log	41.0	328	0.9121	0.3719	0.9118	0.9549
No log	42.0	336	0.8184	0.4205	0.8182	0.9045
No log	43.0	344	0.8624	0.3939	0.8622	0.9285

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 13, 2025
Updated: Feb 13, 2025