BP-test1 – AI Model by Zainab984 | AlphaNeural AI

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Zainab984/
BP-test1

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text-classification

generated_from_trainer

prajjwal1/bert-tiny

autotrain_compatible

endpoints_compatible

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BP-test1

This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1958
Accuracy: 0.95

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.01	50	0.6942	0.45
No log	0.02	100	0.6915	0.57
No log	0.03	150	0.6879	0.55
No log	0.04	200	0.6904	0.56
No log	0.05	250	0.6847	0.56
No log	0.06	300	0.6693	0.56
No log	0.07	350	0.5499	0.9
No log	0.08	400	0.4220	0.93
No log	0.09	450	0.3421	0.93
0.6127	0.1	500	0.2987	0.93
0.6127	0.11	550	0.2704	0.93
0.6127	0.12	600	0.2530	0.93
0.6127	0.13	650	0.2199	0.93
0.6127	0.14	700	0.2204	0.93
0.6127	0.15	750	0.1965	0.95
0.6127	0.16	800	0.1944	0.95
0.6127	0.17	850	0.1942	0.95
0.6127	0.18	900	0.1938	0.95
0.6127	0.19	950	0.1950	0.95
0.2388	0.2	1000	0.1943	0.95
0.2388	0.2	1050	0.1939	0.95
0.2388	0.21	1100	0.1939	0.95
0.2388	0.22	1150	0.1928	0.95
0.2388	0.23	1200	0.1937	0.95
0.2388	0.24	1250	0.1958	0.95

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0