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Bart-tay-Combine – AI Model by FiveC | AlphaNeural AI
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FiveC
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Bart-tay-Combine
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
endpoints_compatible
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Bart-tay-combine
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.0229
Sacrebleu: 9.6700
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.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
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
3.7956
1.0
1605
3.5605
4.3003
2.9214
2.0
3210
3.1334
8.0488
2.6043
3.0
4815
3.0229
9.6700
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
