results_G3 – AI Model by Sushant0809 | AlphaNeural AI

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Sushant0809/
results_G3

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token-classification

generated_from_trainer

Sushant0809/results_G2

autotrain_compatible

endpoints_compatible

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results_G3

This model is a fine-tuned version of Sushant0809/results_G2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2187
Treatment: 0.9127
Chronic: 0.9011
Cancer: 0.8629
Allergy: 0.8139
Other: 0.9451
Weighted Avg: 0.9255

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
0.2076	0.3115	100	0.2227	0.9049	0.9003	0.8872	0.8054	0.9427	0.9239
0.235	0.6231	200	0.2226	0.9088	0.8923	0.8920	0.8179	0.9403	0.9223
0.245	0.9346	300	0.2187	0.9127	0.9011	0.8629	0.8139	0.9451	0.9255
0.1875	1.2461	400	0.2419	0.9121	0.8970	0.8551	0.8104	0.9429	0.9229
0.1868	1.5576	500	0.2377	0.9038	0.8916	0.8849	0.7663	0.9440	0.9224
0.2034	1.8692	600	0.2209	0.9100	0.8940	0.8777	0.8113	0.9445	0.9243
0.1408	2.1807	700	0.2461	0.9073	0.9001	0.8913	0.8145	0.9461	0.9266
0.1152	2.4922	800	0.2406	0.9065	0.8985	0.8892	0.8077	0.9467	0.9263

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1