test6 – AI Model by piazzola | AlphaNeural AI

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piazzola/
test6

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text-classification

generated_from_trainer

google-bert/bert-large-uncased

cc-by-nc-nd-4.0

autotrain_compatible

endpoints_compatible

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checkpoint

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

Loss: 0.5713

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: 3e-05
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.9089	0.4	7373	0.8463
0.6975	0.8	14746	0.6603
0.5207	1.2	22119	0.6005
0.4985	1.6	29492	0.5558
0.4572	2.0	36865	0.5206
0.3228	2.4	44238	0.5485
0.305	2.8	51611	0.5243
0.2171	3.2	58984	0.5674
0.2057	3.6	66357	0.5713

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2