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bart-base-finetuned-explanation – AI Model by ishitaunde | AlphaNeural AI
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bart-base-finetuned-explanation
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-explanation
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: 0.2148
Rouge1: 0.1029
Rouge2: 0.0092
Rougel: 0.1032
Rougelsum: 0.1037
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: 5.6e-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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
2.8399
1.0
119
0.2340
0.0924
0.0061
0.0882
0.0871
0.2248
2.0
238
0.2141
0.0964
0.0094
0.0891
0.0902
0.179
3.0
357
0.2148
0.1029
0.0092
0.1032
0.1037
Framework versions
Transformers 4.41.2
Pytorch 1.11.0
Datasets 2.19.2
Tokenizers 0.19.1
