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ViTay-combine – AI Model by FiveC | AlphaNeural AI
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FiveC
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ViTay-combine
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
FiveC/BartTay
finetune
mit
endpoints_compatible
us
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ViTay-combine
This model is a fine-tuned version of
FiveC/BartTay
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1557
Sacrebleu: 20.5892
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
0.1893
1.0
3209
0.1553
15.6992
0.1188
2.0
6418
0.1503
19.2110
0.0966
3.0
9627
0.1557
20.5892
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.2
Tokenizers 0.22.1
