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bart-mlm – AI Model by mwesner | AlphaNeural AI
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mwesner
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bart-mlm
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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bart-mlm
This model is a fine-tuned version of
mwesner/bart-mlm
on the CNN/Dailymail dataset. It achieves the following results on the evaluation set:
Loss: 7.5338
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: 0.001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 500
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
7.5202
1.0
15237
7.5964
7.5151
2.0
30474
7.5400
7.5157
3.0
45711
7.5351
7.5172
4.0
60948
7.5317
7.5108
5.0
76185
7.5338
Framework versions
Transformers 4.8.1
Pytorch 1.9.0
Datasets 1.11.0
Tokenizers 0.10.3
