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bart-xsum – AI Model by hassaanshafqat | AlphaNeural AI
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hassaanshafqat
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bart-xsum
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transformers
safetensors
bart
feature-extraction
generated_from_trainer
xsum
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-xsum
This model is a fine-tuned version of
facebook/bart-base
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 0.1135
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.1699
1.0
250
0.1267
0.1294
2.0
500
0.1141
0.1187
3.0
750
0.1135
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1
