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xsum_model_v1 – AI Model by adrimj | AlphaNeural AI
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adrimj
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xsum_model_v1
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tensorboard
safetensors
bart
generated_from_trainer
sshleifer/distilbart-cnn-12-6
finetune
apache-2.0
us
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xsum_model_v1
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6233
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.7791
1.0
750
0.5382
0.4539
2.0
1500
0.5503
0.3596
3.0
2250
0.5739
0.2952
4.0
3000
0.5877
0.2473
5.0
3750
0.6233
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
