bert-31 – AI Model by hung200504 | AlphaNeural AI

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bert-31

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bert-31

This model is a fine-tuned version of hung200504/bert-21 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 9.6564

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-06
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
10.8389	0.09	5	11.6872
10.6506	0.18	10	11.3129
9.9367	0.27	15	10.9748
9.7504	0.36	20	10.6767
9.4789	0.45	25	10.4164
9.3145	0.55	30	10.1941
8.4653	0.64	35	10.0120
8.9579	0.73	40	9.8679
8.3746	0.82	45	9.7613
8.3205	0.91	50	9.6904
8.0754	1.0	55	9.6564

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1