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bart-base_ft_2_ep_on_vnx_dev_by_hydra_1751818733_ – AI Model by tihonn | AlphaNeural AI
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tihonn
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bart-base_ft_2_ep_on_vnx_dev_by_hydra_1751818733_
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base_ft_2_ep_on_vnx_dev_by_hydra_1751818733_
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.2310
Rouge1: 36.9798
Rouge2: 10.9738
Rougel: 23.9157
Rougelsum: 25.5506
Gen Len: 19.5648
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: 128
eval_batch_size: 128
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
21
6.4266
37.7702
10.8882
24.1643
25.7527
19.8981
No log
2.0
42
6.2310
36.9798
10.9738
23.9157
25.5506
19.5648
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2
