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BartBanaFinal-test – AI Model by FiveC | AlphaNeural AI
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BartBanaFinal-test
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
endpoints_compatible
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BartBanaFinal-test
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.2750
Sacrebleu: 0.3385
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: 16
eval_batch_size: 16
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
4.1123
1.0
3246
5.7583
0.2243
3.7479
2.0
6492
5.3874
0.2631
3.5316
3.0
9738
5.2750
0.3385
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
