Version2ASAP_FineTuningBERT_AugV5_k3_task1_organization_k3_k3_fold4

genki10/Version2ASAP_FineTuningBERT_AugV5_k3_task1_organization_k3_k3_fold4

Version2ASAP_FineTuningBERT_AugV5_k3_task1_organization_k3_k3_fold4 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 27, 2025
Updated: Feb 27, 2025
SHA: b7602325

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Base models

Model card

From the Hugging Face model README

Version2ASAP_FineTuningBERT_AugV5_k3_task1_organization_k3_k3_fold4

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: 2.1640
Qwk: -0.0015
Mse: 2.1640
Rmse: 1.4711

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	10.1055	0.0018	10.1055	3.1789
No log	2.0	6	8.4720	0.0	8.4720	2.9107
No log	3.0	9	6.9778	0.0	6.9778	2.6416
No log	4.0	12	5.0493	0.0128	5.0493	2.2471
No log	5.0	15	3.2324	0.0040	3.2324	1.7979
No log	6.0	18	2.0282	0.0901	2.0282	1.4242
No log	7.0	21	1.5596	0.0316	1.5596	1.2488
No log	8.0	24	1.1444	0.0238	1.1444	1.0698
No log	9.0	27	1.2042	0.0445	1.2042	1.0974
No log	10.0	30	1.2732	0.0803	1.2732	1.1284
No log	11.0	33	1.2456	0.1925	1.2456	1.1161
No log	12.0	36	1.7451	0.1208	1.7451	1.3210
No log	13.0	39	1.3368	0.3029	1.3368	1.1562
No log	14.0	42	1.9205	0.0738	1.9205	1.3858
No log	15.0	45	1.2598	0.2284	1.2598	1.1224
No log	16.0	48	1.4974	0.1229	1.4974	1.2237
No log	17.0	51	1.3649	0.1507	1.3649	1.1683
No log	18.0	54	1.7453	0.0779	1.7453	1.3211
No log	19.0	57	1.4028	0.1551	1.4028	1.1844
No log	20.0	60	1.8532	0.0805	1.8532	1.3613
No log	21.0	63	1.6572	0.1310	1.6572	1.2873
No log	22.0	66	1.6527	0.1559	1.6527	1.2856
No log	23.0	69	2.4135	-0.0785	2.4135	1.5536
No log	24.0	72	1.2049	0.2145	1.2049	1.0977
No log	25.0	75	1.7914	-0.0134	1.7914	1.3384
No log	26.0	78	1.7393	0.1542	1.7393	1.3188
No log	27.0	81	2.0415	0.0776	2.0415	1.4288
No log	28.0	84	1.3255	0.2372	1.3255	1.1513
No log	29.0	87	1.4019	0.1522	1.4019	1.1840
No log	30.0	90	1.8623	0.0984	1.8623	1.3647
No log	31.0	93	1.8982	0.1267	1.8982	1.3777
No log	32.0	96	1.5805	0.1979	1.5805	1.2572
No log	33.0	99	2.1640	-0.0015	2.1640	1.4711

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: Feb 27, 2025
Updated: Feb 27, 2025