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test_bart_newsroom – AI Model by Yahiael1 | AlphaNeural AI
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test_bart_newsroom
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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test_bart_newsroom
This model is a fine-tuned version of
facebook/bart-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4137
Rouge1: 0.1856
Rouge2: 0.073
Rougel: 0.1654
Rougelsum: 0.1715
Gen Len: 19.2987
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
250
2.4246
0.1768
0.0794
0.1635
0.168
19.3148
2.7103
2.0
500
2.4137
0.1856
0.073
0.1654
0.1715
19.2987
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
