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mbart-sci-ms-tr – AI Model by aparajitha | AlphaNeural AI
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aparajitha
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mbart-sci-ms-tr
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
aparajitha/mbart-sci-tr
finetune
mit
endpoints_compatible
us
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mbart-sci-ms-tr
This model is a fine-tuned version of
aparajitha/mbart-sci-tr
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0857
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: 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: 6
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
273
2.1578
2.2088
2.0
546
2.0978
2.2088
3.0
819
2.0761
1.8582
4.0
1092
2.0666
1.8582
5.0
1365
2.0781
1.6876
6.0
1638
2.0857
Framework versions
Transformers 4.44.2
Pytorch 2.3.1.post300
Datasets 2.19.1
Tokenizers 0.19.1
