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mt5_xlsum_finetuned – AI Model by ibokajordan | AlphaNeural AI
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mt5_xlsum_finetuned
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
Renicames/t5-base-turkish-MindLaw
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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mt5_xlsum_finetuned
This model is a fine-tuned version of
Renicames/t5-base-turkish-MindLaw
on the None dataset.
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: 0.0003
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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: 100
num_epochs: 10
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
