ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2

genki10/ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2

ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2 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. --

Downloads · 30 days

43% of all-time downloads

All-time downloads

Public

Repo size

14.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin876 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 8, 2025
Updated: Mar 8, 2025
SHA: 564521ab

Try a prompt

Base models

Model card

From the Hugging Face model README

ASAP_changed_semanticV2_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold2

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: 0.9282
Qwk: 0.3775
Mse: 0.9276
Rmse: 0.9631

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	3	8.4216	0.0	8.4214	2.9020
No log	2.0	6	5.3047	0.0193	5.3052	2.3033
No log	3.0	9	3.7966	0.0078	3.7968	1.9485
No log	4.0	12	2.5792	0.0126	2.5795	1.6061
No log	5.0	15	1.8686	0.0399	1.8691	1.3671
No log	6.0	18	1.5137	0.0274	1.5140	1.2304
No log	7.0	21	1.4790	0.0603	1.4792	1.2162
No log	8.0	24	1.0642	0.0425	1.0644	1.0317
No log	9.0	27	1.1984	0.0948	1.1984	1.0947
No log	10.0	30	1.0004	0.0842	1.0003	1.0002
No log	11.0	33	1.0305	0.2176	1.0301	1.0149
No log	12.0	36	0.8114	0.3758	0.8110	0.9006
No log	13.0	39	1.0493	0.3065	1.0485	1.0240
No log	14.0	42	0.8894	0.3301	0.8886	0.9427
No log	15.0	45	1.1421	0.2667	1.1413	1.0683
No log	16.0	48	0.8725	0.3613	0.8717	0.9336
No log	17.0	51	1.0109	0.3404	1.0097	1.0048
No log	18.0	54	1.3799	0.2711	1.3785	1.1741
No log	19.0	57	0.9570	0.3909	0.9560	0.9777
No log	20.0	60	0.8118	0.4313	0.8110	0.9006
No log	21.0	63	1.1705	0.3409	1.1694	1.0814
No log	22.0	66	0.8252	0.4295	0.8243	0.9079
No log	23.0	69	0.7493	0.4559	0.7487	0.8653
No log	24.0	72	0.8808	0.4085	0.8800	0.9381
No log	25.0	75	0.6811	0.4979	0.6805	0.8249
No log	26.0	78	0.9391	0.3949	0.9383	0.9686
No log	27.0	81	0.8285	0.4213	0.8278	0.9098
No log	28.0	84	1.0717	0.3449	1.0708	1.0348
No log	29.0	87	0.9357	0.3855	0.9349	0.9669
No log	30.0	90	1.3207	0.2708	1.3197	1.1488
No log	31.0	93	0.8859	0.3707	0.8853	0.9409
No log	32.0	96	1.1101	0.3287	1.1093	1.0532
No log	33.0	99	0.8840	0.3908	0.8833	0.9399
No log	34.0	102	1.1454	0.3137	1.1447	1.0699
No log	35.0	105	0.8168	0.4174	0.8164	0.9036
No log	36.0	108	0.8140	0.4151	0.8136	0.9020
No log	37.0	111	0.8351	0.3982	0.8347	0.9136
No log	38.0	114	0.9010	0.3855	0.9004	0.9489
No log	39.0	117	1.0708	0.3513	1.0699	1.0344
No log	40.0	120	1.0124	0.3570	1.0117	1.0058
No log	41.0	123	0.9642	0.3828	0.9636	0.9816
No log	42.0	126	0.7649	0.4729	0.7644	0.8743
No log	43.0	129	0.8996	0.3908	0.8990	0.9482
No log	44.0	132	0.8220	0.4156	0.8215	0.9064
No log	45.0	135	0.9282	0.3775	0.9276	0.9631

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 8, 2025
Updated: Mar 8, 2025