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phamminhquan – AI Model by chamdentimem | AlphaNeural AI
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phamminhquan
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large-xsum
finetune
mit
endpoints_compatible
us
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phamminhquan
This model is a fine-tuned version of
facebook/bart-large-xsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0374
Rouge1: 49.882
Rouge2: 22.2871
Rougel: 36.8387
Rougelsum: 41.2958
Gen Len: 51.6557
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
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
0.11
100
1.0374
49.882
22.2871
36.8387
41.2958
51.6557
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
