distilbert-base-uncased-finetuned-discharge – AI Model by Reboot87 | AlphaNeural AI

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Reboot87/
distilbert-base-uncased-finetuned-discharge

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-discharge

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9049
Accuracy: 0.7425
F1: 0.7419

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
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	814	0.5448	0.7052	0.7020
0.5626	2.0	1628	0.5420	0.7323	0.7322
0.5626	3.0	2442	0.5337	0.7535	0.7516
0.3498	4.0	3256	0.6277	0.7491	0.7482
0.3498	5.0	4070	0.7642	0.7432	0.7421
0.2189	6.0	4884	0.9049	0.7425	0.7419

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0