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bert2bert – AI Model by SuramyaPokharel | AlphaNeural AI
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SuramyaPokharel
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bert2bert
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transformers
safetensors
encoder-decoder
text2text-generation
generated_from_trainer
mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization
finetune
apache-2.0
endpoints_compatible
us
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bert2bert
This model is a fine-tuned version of
mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1196
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1386
1.0
3677
0.1256
0.1294
2.0
7355
0.1227
0.1233
3.0
11032
0.1210
0.1204
4.0
14710
0.1200
0.1191
5.0
18385
0.1196
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2
