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my_text_summarization – AI Model by Abhishek188 | AlphaNeural AI
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my_text_summarization
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
samsum
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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my_text_summarization
This model is a fine-tuned version of
facebook/bart-base
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 0.3844
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
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
205
0.4415
No log
2.0
410
0.3851
1.5046
3.0
615
0.3797
1.5046
4.0
820
0.3818
0.3037
5.0
1025
0.3844
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
