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clupubhealth-mini-test-3 – AI Model by zwellington | AlphaNeural AI
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clupubhealth-mini-test-3
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
clupubhealth
facebook/bart-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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clupubhealth-mini-test-3
This model is a fine-tuned version of
facebook/bart-base
on the clupubhealth dataset. It achieves the following results on the evaluation set:
Loss: 2.4191
Rouge1: 30.0438
Rouge2: 10.2364
Rougel: 20.066
Rougelsum: 20.1703
Gen Len: 19.6
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: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
0.5
5
2.5258
25.7171
6.7541
16.6375
17.2026
20.0
3.0394
1.0
10
2.4191
30.0438
10.2364
20.066
20.1703
19.6
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.7.1
Tokenizers 0.13.2
