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bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily – AI Model by Aryan0310 | AlphaNeural AI
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Aryan0310
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bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily
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transformers
tensorboard
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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bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily
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: 2.5035
Rouge1: 39.9928
Rouge2: 17.5649
Rougel: 26.9635
Rougelsum: 36.7394
Gen Len: 72.8086
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: 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.661
1.0
17945
2.5035
39.9928
17.5649
26.9635
36.7394
72.8086
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
