results_G2 – AI Model by Sushant0809 | AlphaNeural AI

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Sushant0809/
results_G2

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token-classification

generated_from_trainer

Sushant0809/results_G1

autotrain_compatible

endpoints_compatible

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results_G2

This model is a fine-tuned version of Sushant0809/results_G1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2192
Treatment: 0.9042
Chronic: 0.9030
Cancer: 0.8800
Allergy: 0.8330
Other: 0.9448
Weighted Avg: 0.9253

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: 5e-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
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Treatment	Chronic	Cancer	Allergy	Other	Weighted Avg
0.2471	0.3040	100	0.2212	0.9060	0.9058	0.8874	0.8314	0.9453	0.9268
0.2427	0.6079	200	0.2192	0.9042	0.9030	0.8800	0.8330	0.9448	0.9253
0.2382	0.9119	300	0.2203	0.9040	0.9052	0.8804	0.8124	0.9461	0.9262
0.1912	1.2158	400	0.2292	0.8987	0.9001	0.8861	0.8421	0.9454	0.9246
0.2118	1.5198	500	0.2262	0.8947	0.9006	0.8778	0.8004	0.9436	0.9220
0.1922	1.8237	600	0.2419	0.9021	0.8946	0.8734	0.8361	0.9438	0.9226
0.1604	2.1277	700	0.2764	0.9018	0.9001	0.8769	0.8435	0.9459	0.9249

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1