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bert-base-cnn-ft – AI Model by harish3742 | AlphaNeural AI
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bert-base-cnn-ft
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transformers
tensorboard
safetensors
encoder-decoder
text2text-generation
generated_from_trainer
endpoints_compatible
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bert-base-cnn-ft
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0014
Rouge1: 0.0294
Rouge2: 0.0002
Rougel: 0.0284
Rougelsum: 0.0284
Gen Len: 60.0
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: 1e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.0352
0.0167
100
0.0099
0.0352
0.0002
0.0308
0.0308
60.0
0.0124
0.0334
200
0.0014
0.0294
0.0002
0.0284
0.0284
60.0
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
