model – AI Model by rduan6 | AlphaNeural AI

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token-classification

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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model

This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset. It achieves the following results on the evaluation set:

Loss: 0.2138
Precision: 0.5538
Recall: 0.6313
F1: 0.5900
Accuracy: 0.9586

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2962	1.0	679	0.1463	0.4864	0.5010	0.4936	0.9532
0.1321	2.0	1358	0.1482	0.4794	0.5946	0.5308	0.9549
0.0649	3.0	2037	0.1570	0.5307	0.6168	0.5705	0.9577
0.0414	4.0	2716	0.1799	0.5050	0.6390	0.5641	0.9564
0.0316	5.0	3395	0.2138	0.5538	0.6313	0.5900	0.9586

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3