model1-thesis-5 – AI Model by UchihaMadara | AlphaNeural AI

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UchihaMadara/
model1-thesis-5

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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model1-thesis-5

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

Loss: 0.6273
Precision: 0.4620
Recall: 0.6348
F1: 0.5348
Accuracy: 0.8196

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: 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
No log	1.0	29	0.5895	0.3871	0.6261	0.4784	0.8086
No log	2.0	58	0.5814	0.4424	0.6348	0.5214	0.8118
No log	3.0	87	0.5734	0.4360	0.6522	0.5226	0.8332
No log	4.0	116	0.6326	0.4808	0.6522	0.5535	0.8170
No log	5.0	145	0.6273	0.4620	0.6348	0.5348	0.8196

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2