BERT2BERT_try_epoch15 – AI Model by houdini001 | AlphaNeural AI

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houdini001/
BERT2BERT_try_epoch15

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encoder-decoder

text2text-generation

generated_from_trainer

endpoints_compatible

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BERT2BERT_try_epoch15

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

Loss: 0.0176

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0145	1.57	1000	0.0147
0.0058	3.14	2000	0.0157
0.002	4.72	3000	0.0167
0.0012	6.29	4000	0.0154
0.0005	7.86	5000	0.0155
0.0004	9.43	6000	0.0159
0.0005	11.01	7000	0.0167
0.0004	12.58	8000	0.0172
0.0003	14.15	9000	0.0176

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2