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dialect_conversion_model – AI Model by Sara5115 | AlphaNeural AI | AlphaNeural AI
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dialect_conversion_model
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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dialect_conversion_model
This model is a fine-tuned version of
facebook/bart-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0474
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
2.9964
2.9412
100
2.5603
0.3588
5.8824
200
0.2224
0.0304
8.8235
300
0.0474
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
