Hinton_SC_BS32_LR3e5

VinsmokeMir/Hinton_SC_BS32_LR3e5

Hinton_SC_BS32_LR3e5 is a text classification model from VinsmokeMir. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: May 23, 2023
Updated: May 23, 2023
SHA: 38a1feaa

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Model card

From the Hugging Face model README

Hinton_SC_BS32_LR3e5

This model is a fine-tuned version of rafsankabir/Pretrained_Final_E6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4069
Accuracy: 0.6790
F1 Macro: 0.6473

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro
No log	1.27	500	1.0674	0.3976	0.1896
1.0108	2.54	1000	0.8270	0.6426	0.5565
1.0108	3.82	1500	0.8016	0.6522	0.5753
0.7423	5.09	2000	0.7922	0.6611	0.6099
0.7423	6.36	2500	0.8057	0.6726	0.6155
0.6098	7.63	3000	0.8303	0.6860	0.6456
0.6098	8.91	3500	0.8322	0.6847	0.6481
0.5049	10.18	4000	0.8775	0.6994	0.6603
0.5049	11.45	4500	0.9122	0.6956	0.6510
0.4132	12.72	5000	0.9451	0.6879	0.6564
0.4132	13.99	5500	0.9600	0.6809	0.6433
0.3571	15.27	6000	1.0050	0.6854	0.6515
0.3571	16.54	6500	1.0671	0.6847	0.6496
0.2952	17.81	7000	1.0836	0.6873	0.6525
0.2952	19.08	7500	1.0993	0.6873	0.6558
0.2577	20.36	8000	1.1465	0.6924	0.6613
0.2577	21.63	8500	1.2137	0.6828	0.6541
0.2314	22.9	9000	1.1916	0.6924	0.6610
0.2314	24.17	9500	1.2445	0.6860	0.6525
0.2044	25.45	10000	1.2564	0.6867	0.6554
0.2044	26.72	10500	1.2770	0.6828	0.6509
0.1899	27.99	11000	1.3005	0.6854	0.6553
0.1899	29.26	11500	1.3149	0.6816	0.6519
0.1777	30.53	12000	1.3320	0.6835	0.6512
0.1777	31.81	12500	1.3456	0.6847	0.6538
0.1652	33.08	13000	1.3620	0.6796	0.6486
0.1652	34.35	13500	1.3808	0.6796	0.6500
0.1544	35.62	14000	1.3878	0.6841	0.6533
0.1544	36.9	14500	1.3989	0.6790	0.6490
0.1521	38.17	15000	1.4031	0.6822	0.6501
0.1521	39.44	15500	1.4069	0.6790	0.6473

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
Created: May 23, 2023
Updated: May 23, 2023